Events

Helmholtz AI Annual Retrospective and Award Ceremony '23

 

As we approach the culmination of another remarkable year, it is our pleasure to invite you to the Helmholtz AI Annual Retrospective and Award Ceremony. In the spirit of the festive season, this special event will serve as a moment of reflection, celebration, and anticipation for the exciting journey that lies ahead.

 

 

Date: 13 December, 2023
Time: 09:00 – 10:00 AM
Location: via Zoom

We will:

  • Revisit our achievements and introduce the new faces of this year to the Helmholtz AI community.
  • Discover the numbers behind our impactful year in AI.
  • Celebrate exceptional contributions at our award ceremony.

Let's celebrate a year well spent and an even brighter one ahead!

 


 

 

Start: 
4 December 2023 09:00 AM
End:
6 December 2023 13:00 PM
Location: Online


Contact for inquiries: Sabrina Benassou

 

Join this comprehensive course to embark on an instructive journey into the world of eXplainable AI (XAI). Throughout the course, participants will develop a solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights. The course starts with a broad overview of XAI, setting the stage for a deep dive into cutting-edge model-agnostic interpretation techniques. As the course progresses, we shift our focus to model-specific post-hoc interpretation methods. Through immersive training, participants will learn to interpret machine learning algorithms and unravel the intricacies of deep neural networks, such as convolutional neural networks (CNN) and transformers. They will also become skilled in applying these techniques to various data formats, encompassing tabular data, images, and 1D data.

In addition to theoretical insights, participants will engage in hands-on practical sessions to apply these techniques effectively. Take advantage of this opportunity to enhance your expertise in XAI and acquire the skills needed to navigate the intricate landscape of AI interpretability. Enroll now and unlock the potential of XAI! Find out more here.


 

Background

In the annual Helmholtz AI project call, funded by the Initiative and Networking Fund (INF), we are looking for 'high risk, high gain' cross-field research projects in applied machine learning (ML) and artificial intelligence (AI). Selected projects can get up to €250k in funding from the INF, which has to be matched by the participating centers with the same amount of money or more (≥€250k). Projects should be completed within a maximum of three years. More details about this year's project call and already funded projects can be found on our website.

For the third year running, we are offering these information events where you will have the opportunity to learn about the call and ask live questions to the Helmholtz AI project management team. Importantly, you can also use this event to pitch your project ideas or expertise to other Helmholtz researchers.

Target Audience

All Helmholtz researchers and external partners (e.g. academic, non-profit or companies) interested in the Helmholtz AI project call 2023.

Time & Location

When?    |  07 November, 10 - 11:30 am CET

Where?   |  Online (the Zoom link will be sent to all registered participants one day prior to the event)

Register here until November 06, 2023 at 11 AM (CET).

 


 

The national center of excellence ML4Earth invites you to participate in the Physics-aware Machine Learning in Earth Observation and Modelling Workshop to be hosted at the Conference Center Kolpinghaus Munich on September 20, 2023. This event is organized in collaboration with the Helmholtz AI and the International Future Lab AI4EO.

During the morning, you will learn about numerical methods for physics simulations with deep learning methods in Prof. Nils Thuerey’s talk, and about data-efficient deep learning using physics-informed neural networks in Prof. Maziar Raissi’s keynote. Followed by a round table with Prof. Thuerey and Dr. Shijie Jiang to discuss the present and future of Physics-aware Machine Learning.

In the afternoon, there will be a hands-on introduction to Physics-aware Machine Learning, and to end the day, the ML4Earth Physics-aware Machine Learning Hackathon will be introduced.

Register for the workshop at https://events.hifis.net/event/909/, and for the hackathon at https://ml4earth23.devpost.com/


 

June 2024 // Helmholtz AI Conference 2024

Save the date for June 2024 in Düsseldorf!

More information soon.

To stay updated, please subscribe to our newsletter. We eagerly look forward to welcoming you next year and hope to see you there.


 

MAY - NOVEMBER 2023 // BRATS INPAINTING CHALLENGE

Ever wondered what the brain of a tumor patient looked like before they developed the disease? This question keeps doctors awake at night. Help them by joining the #BraTS2023 Inpainting Challenge! 

Your mission will be to develop innovative inpainting techniques to synthesize healthy brain scans from lesioned ones. Dive into the complexities of brain anatomy, tissue segmentation & more. Let’s tackle this real-world challenge together! Find out more details on our website.

In this challenge you will have the possibility to:

  • Experiment with algorithmic solutions for synthesizing 3D healthy brain tissue
  • Work on an exciting dataset of more than 1000 brain MRI scans 
  • Contribute to the challenge manuscript 
  • Be part of the solution at MICCAI 2023 in Vancouver, Canada

2023 KEY DATES

1 May - Challenge launch
- Registration opens
mid-May Release of training data with ground truth labels
mid-June - Release of validation data (without labels)
- Validation phase opens
31 July - Validation phase ends (submission deadline of segmentation files)
- Submission deadline of short papers in CMT, reporting method and preliminary results.
1 August Testing phase opens
(available only to participants who submitted short papers)
7 August Testing phase ends (submission deadline of MLCubes)
11 - 25 August Evaluation of MLCubes on testing data
(performed by challenge organizers)
mid-September Top performing methods contacted for preparing oral presentation slides
mid-October Announcement of the final top 3 ranked teams
30 November Camera-ready submission of extended papers for inclusion in the associated workshop proceeding

Register now!

This challenge was organized with the participation of our consultant team for Health at Helmholtz Munich, including Florian Kofler, Christina Bukas, and Marie Piraud.


 

5-6 OCTOBER 2023 // BigBrain Workshop 2023

The 7th BigBrain Workshop will take place in the beautiful city of Reykjavik, Iceland, on October 5 and 6, 2023.

This workshop is an opportunity for the neuroscientific community to come together and present their cutting-edge research, discuss future prospects of the BigBrain data and tools, and explore how to better leverage high-performance computing and artificial intelligence to create multimodal, multiresolution tools for the high-resolution BigBrain and related datasets.

This year's BigBrain Workshop will be held in conjunction with an HBHL Training Day, taking place as a full day event on October 4, on-site at the conference venue.

Save the date and join us for this exciting event!

When: 5-6 Oct 2023

Where: Reykjavik, Iceland

Read more here: https://go.fzj.de/BigBrainWorkshop2023


 

26-27 September 2023 // Workshop: Supercomputer machines for your own AI application

Fancy using High Performance Computing machines for AI? Fancy learning how to run your code one of Europe's fastest computers JUWELS Booster at FZJ?

In this workshop, we will guide you through the first steps of using the supercomputer machines for your own AI application. This workshop should be tailored to your needs - and our team will guide you through questions like:

  • How do I get access to the machines? 
  • How do I use the pre-installed, optimized software?
  • How can I run my own code?
  • How can I store data so I can access it fast in training?
  • How can parallelize my training and use more than one GPU?

This workshop will be held in a small group size with enough space to address your questions. Please give us an indication on what topics you are interested in and we will try to adjust.

When: 26-27 September 2023

Where: online

More details and registration here!


 

18-29 SEPTEMBER 2023 // Helmholtz Incubator Summer Academy II

Once again, the five platforms Helmholtz AI, Helmholtz Imaging, HIFIS, HIDA and HMC are joining forces to assemble an exciting summer academy program.

Save the Dates for the Incubator Summer Academy 2023: 18-29 September!

The Incubator Summer Academy is open to all PhD students and postdoctoral researchers in the Helmholtz Association. In addition, a small number of seats in our workshops are reserved for Master students, doctoral researchers and postdocs from other research institutions and universities.

More detailed information and the course program will be announced soon.


 

26-27 JULY 2023 // roadshow of the Helmholtz AI consultant team for Earth and Environment

The Helmholtz AI consultant team for Earth and Environment, located at DKRZ/Hereon, will visit KIT and talk about their experience and what they can offer to all Helmholtz researchers. Consulting services are free of charge for researchers of all Helmholtz centers.

The roadshow will start with an introductory seminar summarising the work of the AI consultant team for Earth and Environment and giving examples of research projects they have collaborated on. Given the wide range of relevant research activities at KIT, this includes cases from atmospheric sciences and Earth observation to geological modelling. Following the introduction, there will be ample time for “walk-in consulting slots” to get individual feedback from the AI consultants about your ML challenges.

Please register in advance for individual consulting.

When: July 26, 09:30 - July 27, 11:30.

Where: Karlsruhe Institute of Technology (KIT)

This is a Helmholtz AI event, set up in cooperation with KIT.

Find out more and register here: https://events.hifis.net/event/847/


 

3-7 JULY 2023 // AI4Health Summer School

Registrations for the third edition of the AI4Health Summer School are now open!

This event, organized by the Interdisciplinary Institutes for Artificial Intelligence (3IA), MIAI (Grenoble), 3IA Côte d’Azur (Nice) and PR[AI]RIE (Paris), together with the Health Data Hub, will take place at PariSanté Campus, Paris and online.

Register now!

The 2023 AI4Health Summer School will cover the latest advances in the field of AI applied to health. It will start with three days of plenary sessions with lectures and use cases, led by international speakers, accessible on site and online. They will be followed by two days of hands-on practical sessions, led by experts, for the on-site participants only. A poster session is also scheduled, for the on-site participants only, with a prize of 500€ for the best poster chosen by the AI4Health scientific committee.

Access AI4Health website

Please note that registration to participate on-site will only last for 5 weeks
and will close on May 8th. Registrations to participate online will be open until June 19th.

All speakers will be on-site in Paris. 

The school will be held in English and is aimed at students (masters from the first year, PhD), post-docs, academics, members of public institutions, and professionals. Please note that in order to participate in the practical sessions, basic knowledge in machine learning (python or others) is required.


 

4 JULY // Helmholtz AI projects 2022 - Welcome Meeting

In this welcome meeting, all partners of the 2022 projects will have the opportunity to learn more about the services and staff of Helmholtz AI, their upcoming tasks during their funding period, the Helmholtz AI young investigator groups (YIGs), the Helmholtz AI consultant teams, and the chance to introduce themselves and their project idea.

Target audience: all partners of the Helmholtz AI projects 2022 and Helmholtz AI researchers interested in the 2022 funded projects.

When? July 4 11-12:30pm

Where? Zoom (register for link)

Event link to registerhttps://events.hifis.net/event/807/


 

26-28 JUNE 2023 // MINISYMPOSIUM AT THE PASC23 CONFERENCE

The Helmholtz AI consultants from the research field Earth & Environment from German climate computing centre (DKRZ) and Hereon are organizing a minisymposium on "Implementation and Validation of Hybrid Earth System and Machine Learning Models" at the PASC23 conference.The PASC Conference, among others things, promotes the exchange of knowledge in scientific computing and computational science through minisymposiums that will be held with the aim to showcase research related to domain science, applied mathematics, computer science and software engineering. 

This minisymposium is co-organized with the Oak Ridge National Laboratory and will gather international experts to discuss current and emerging activities in the areas of ML-based model parameterization, coupling of Fortran-based Earth system model, and Python-based ML components as well as their deployment on high performance computing and scientific validation. 

When: June 26-28, 2023

Where: Congress Center Davos, Switzerland

Registration will open by the end of April.


 

Data centers and large AI models use massive amounts of energy, especially at the training and inference stages. Lowering energy-consumption is a critical step for efficient integration of ML models in many fields. Have you ever attempted cutting down energy usage? Do you have what it takes to develop state-of-the-art AI models without investing hundreds of GPU hours?

Show it at the AI-HERO 2 hackathon! Build an accurate and energy-efficient model to solve exciting use cases from either health or energy. You will be competing against other teams from Helmholtz centers and get the chance of winning amazing prizes!

  • Date: June 19-21th 2023
  • Location: Heidelberg
  • Participants: AI-researchers with experience in model development, training and optimization. PhD students and PostDocs from the NHR and all Helmholtz centers, Programs and associated universities are welcome to apply.
  • Teams: Participants will be divided into teams of three to tackle model development for one of two possible use-cases (one in research field health & one in energy). Premade teams are of course allowed!
  • Challenge: Build and optimize a model while using as little energy as possible

The hackathon is organized jointly by Helmholtz Imaging, Helmholtz AI, HMC and KIT.

Register here

 

 


 

12-14 June 2023 // Helmholtz AI conference 2023

Keep up with the latest developments and research results in AI!

We are inviting all AI enthusiasts and AI researchers to join the Helmholtz AI conference 2023 on 12-14 June 2023 in Hamburg hosted at the Deutsches Elektronen-Synchroton (DESY) and at the Kuppel-Hamburg. Our two and a half-day hybrid event will bring together method and domain specialists with a shared interest in Artificial Intelligence for discussing latest research results and use cases in applied AI/ML and for expanding your network.

Registration is now open! Be part of it and submit an abstract for a talk or a poster by 23 April, 2023.

At the poster session this year, printed posters will be presented again, so each presenter will have his or her own time slot. Submit an abstract for your poster and win the Helmholtz AI poster prize!

All AI enthusiasts and researchers are welcome!

When: 12-14 June 2023

Where: hybrid, Hamburg at the Deutsches Elektronen-Synchroton (DESY) and at the Kuppel-Hamburg.

Keynote Speakers:

  • Zeynep Akata: Assistant Professor with the University of Amsterdam, Scientific Manager of the Delta Lab and Senior Researcher at the Max Planck Institute for Informatics in Germany.

  • Max Welling, research chair and full professor in Machine Learning at the University of Amsterdam and Distinguished Scientist at Microsoft Research. 

Visit the conference website for more information and register here!


 

UNTIL 31 MAY 2023 // ELSA OPEN CALL

ELSA (European Lighthouse on Safe and Secure AI) connects the best artificial intelligence and machine learning researchers from across Europe to make AI solutions safe and foster applicability. The growing network builds on and extends ELLIS, an internationally recognized pan-European AI network of excellence. Now, ELSA is looking for SEMs and Startups to collaborate on methods, software solutions, or benchmarks into applications and services, bringing them into industrial use. 

The best 6 SEMs/Startups developing novel AI-based applications and services will be supported with up to 60,000 Euros. Apply before the 31st of May, 2023 at 13:00 o´clock.

Please read carefully all the information and instructions before applying. 

Apply here.


 

31 MAY 2023 // Helmholtz Entrepreneurs: From Idea to I Did

Turn your Data Science into Business!

How are AI/Software startup teams assembled? How do they perform at their best? When and where do you find your co-founder(s) and the rest of your team? How to profile them? You’d want tips on how to keep your future team cohesive and reach your milestones? Or you just liked our episodes and want to continue learning how to become a Scientrepreneur?

If so, please join the third online episode of Helmholtz Entrepreneur’s series “From Idea to I did”. Register here!

When: May 31st.

Where: online event.

Agenda:

  • 2:00 - 2:15 pm- Welcome & Introduction
  • 2:15 - 3:00 pm - “Teambuilding for Scientrepreneurs” by Klara Lindner
  • 3:00 - 3:15 pm - Questions & Comments
  • 3:15 - 3:30 pm - Short Break
  • 3:30 - 3:40 pm - Short Pitch by Anna-Lena Schindl
  • 3:40 - 3:50 pm - Short Pitch by Florian Mysliwetz
  • 3:50 - 4:25 pm - Discussion
  • 4:25 - 4:30 pm - Closing

 

Team applications for the Helmholtz GPU Hackathon 2023 are open now!

 

Forschungszentrum Jülich (FZJ), Helmholtz Zentrum Dresden-Rossendorf (HZDR), and the Helmholtz Information & Data Science Academy (HIDA) together with NVIDIA and OpenACC will co-organize the Helmholtz GPU Hackathon 2023.

 

When: 9-11 May 2023, virtual kick-off on 2 May 2023

Where: onsite at FZJ in Jülich

GPU Hackathons provide exciting opportunities for scientists to accelerate their AI or HPC research under the guidance of expert mentors from national laboratories, universities and industry leaders in a collaborative environment.

What happens at such a GPU Hackathon?

Teams of about 3-6 people apply to work on porting (parts of) their code onto the GPU or refining an already existing GPU implementation. Teams can use almost any programming model to do so, provided we find mentors for support. Each team will receive two mentors to help in the process. All of this is free of charge (but you have to cover your team’s travel expenses to Jülich). We will be using the JUWELS Booster system or even an early access system for the upcoming exascale system at Jülich Supercomputing Center (JSC). A maximum of ten teams can be accepted for the event.

Prerequisites and how to apply?

  • Teams are expected to be fluent with the code or project they bring to the event and motivated to make progress during the hackathon. 
  • A minimum of 3 team members must participate throughout the entire event. Lack of complete participation will result in the entire team being excused.
  • Projects brought to the event are required to have a license attached and detailed in the application. For more information on why licenses are important and how to obtain one, please use the following links:

Deadline for the team application is March 14, 2023: Please register here!

 

In case of questions please do not hesitate to contact:

Guido Juckeland (HZDR)

Andreas Herten (FZJ)


 

25 April 2023 // Helmholtz AI Roadshow for Health

Our Helmholtz AI consultant team for health creates custom Artificial Intelligence solutions in collaboration with researchers from the Helmholtz Association (see attachment). 

The seminar will introduce our consulting concept and showcase examples of research collaborations.

One-on-one consulting slots of 30 min are offered to discuss specific questions about analyzing your data, potential ethical obstacles to your project, or how our consultant team can assist you. All our services are provided at no cost and are only conditioned on the availability of the consultants.

  • When: 25 April 2023, from 10 am to 4 pm.
  • Where: hybrid event, online via zoom or on-site at DZNE.

Schedule:

10:00-11:00 Seminar

  • Marie Piraud (Head of Helmholtz AI consultants for health), Empowering Helmholtz researchers with AI
  • Marie Oestreich (DZNE), Generating molecules with AI
  • Elisabeth Georgii (Helmholtz AI), Disease progression modeling with clinical data
  • Christina Bukas (Helmholtz AI), Enabling high-throughput image analysis through consultancy

11:00-11:30 Coffee break

11:30-16:00 Parallel 1:1 consulting sessions (General AI consulting / Ethics in AI consulting)

Please register here for the seminar and/or individual consulting. We are looking forward to meeting you!

 


 

20 April 2023 // Helmholtz AI funded projects – what now?

The event organised by the Helmholtz AI Science Management Team is specifically aimed at previous Helmholtz AI Project Call awardees and interested Helmholtz researchers to enable them to explore further opportunities to expand their project and achieve scale-up funding success.

Join this workshop and take your project to the next level!

Save the date!

When: 20 April 2023, 10-11:30 am.

Where: online

Speakers:

  • Johannes Keller-Herder, Head of Strategic Controlling, DESY.
  • Anna Cattani-Scholz, Delegate for the research field Information, Helmholtz Brussels Office.

  • Julian Alexandrakis, Program manager transfer and innovation, Helmholtz Head Office.

For more information and registration please click here.


 

UNTIL 31 MARCH 2023 // HELMHOLTZ ENTERPRISE CALL

Helmholtz Enterprise (HE) is the internal program for spin-offs from the Helmholtz Association. The overall purpose of the program is to support scientists to work entrepreneurial and start a well-thought-out business. HE consists of two independent modules. Applications for each module are independent of each other.

 

  • The Field Study Fellowship finances a budget for personnel and material costs for the Helmholtz centers or their institutes in order to identify customer needs through interviews and market research.
  • The Spin-off Program finances the establishment of start-up teams working at the center and the implementation of start-up projects. The Spin-off Program also finances externally found team members if required and the expansion of start-up competencies of the internal team, e.g. by participating in entrepreneurship training.

The deadline for submitting applications is March 31, 2023.

Applications should be submitted via the transfer offices at the Helmholtz Association’s Research centers. Interested founders should first get in touch with the respective contact person in the transfer units (Overview).

 For more information, please click here!


 

30 MARCH 2023 // SPECIAL HELMHOLTZ AI FFT SEMINAR

On Thursday, 30 March 2023, from 11 am - 12 noon we will have a special Food for Thought (FFT) seminar with the title “Discover ChatGPT and Transformers: Strengths, Pitfalls, and Real-World Applications''. Erinc Merdivan, consultant at Helmholtz Munich, will discuss the capabilities and limitations of language models and how transformers and ChatGPT can be applied to the fields of health and biology.  

Mark your calendars and join us for this exciting seminar! 

When: March 30 2023, 11:00 am - 12:00 noon.

Where: online, https://zoom.us/j/99000975454?pwd=WUpmeUswaU5YREMzL1hGUDR4QkVOZz09

Click here for more information

 


 

28 FEBRUARY 2023 // HELMHOLTZ AI ON-SITE CONSULTING AT AWI

Join the roadshow of the Helmholtz AI consultant team for Earth and Environment at Alfred-Wegener-Institute (AWI)!

The Helmholtz AI consultant team for Earth and Environment, located at DKRZ, will visit AWI and talk about their experience and what they can offer to all Helmholtz researchers. Consulting services are free of charge for researchers of all Helmholtz centers.

The roadshow will start with an introductory seminar summarising the work of the AI consultant team for Earth and Environment and giving examples of research projects they have collaborated on. There will also be time for “walk-in consulting slots” to get individual feedback from the AI consultants about your ML challenges. Please register in advance for individual consulting.

When: 28 Feb 2023, from 11-00 am to 16:30 pm

Where: Alfred-Wegener-Institute (AWI)

This is a Helmholtz AI event, set up in cooperation with AWI and MarDATA.

Find out more and register here: https://events.hifis.net/event/727/

 


 

27 February 2023 // Helmholtz AI Townhall Meeting

After our successful evaluation in October 2022 and having received the final recommendations we would like to invite you to join our Helmholtz AI Townhall meeting:

When?:  February 27th from 2 - 3 pm

Where?: online, please register to receive the zoom link

At this open online event we would like to share the results of the Helmholtz AI evaluation including our future concept. We would like to discuss upcoming actions and events by labs, AI consultants and the network, and would like to provide connection points for you to engage with Helmholtz AI.

Our Townhall meeting will feature short presentations followed by Q&A sessions. We encourage everyone from our community to submit questions and suggestions beforehand openly in a notepad

For more information and registration please click here: https://events.hifis.net/event/707/

 


 

Join the roadshow of the Helmholtz AI consultant team for health at Max-Delbrück-Center (MDC)!
The Helmholtz AI consultant team for health creates custom machine learning & artificial intelligence solutions for health research in collaboration with researchers of the Helmholtz Association. These services are developed and provided free of charge to researchers of all Helmholtz Centers. 

The Helmholtz AI consultant team will introduce their consulting concept and showcase examples of research collaborations.

When: 22 February 2023, from 12:00 noon - 1:00 pm talks, One-to-One consulting sessions from 1:30 pm - 5:00 pm

Where: hybrid, onsite in Berlin-Buch (MDC.C; Axon 2), or remotely via Zoom

Speakers:

  • Marie Piraud, Head of the Helmholtz consultants for health: Empowering Helmholtz researchers with AI
  • Lisa Barros de Andrade e Sousa: Oligo Designer Toolsuite – lightweight development of custom pipelines to design experiment-specific oligos
  • Christina Bukas: Enabling high-throughput contraction analysis of neuromuscular organoids through consultancy
  • Florian Kofler: Overview of biomedical image analysis at Helmholtz AI

In case you want to join via Zoom, please register with the link below:

https://mdc-berlin.zoom.us/webinar/register/WN_ZCdIp1SPSFiVX90S7762PQ

For the participation on site, there is no registration.

In addition, One-on-One consulting sessions are available to researchers for discussion and onsite consultation on data analysis or project ideas. Please reserve a slot for individual consulting via the following link:

https://forms.gle/1o1Tdyhm4EgmuSsTA


 

Join the International Symposium on AI for Health!

Helmholtz Munich invites you to participate in its first International Symposium on AI for Health.

When: 16 January 2023 from 10:30 am to 6:30 pm

Where: at the Auditorium, Helmholtz Munich Campus

Keynote speakers:

You will also hear about the latest breakthroughs from our Helmholtz Munich research groups.

We invite Health AI PhD and Postdocs to submit an abstract for a presentation, and are looking forward to meeting you in person.

Registration and Abstract submission closing Dec 23, 2022, and final Agenda to be shared early January.

 


 

Join the second online Episode of our Helmholtz Entrepreneur’s series “From Idea to I did”. It will target people with advanced general knowledge of Entrepreneurship, who want to understand Fundraising and way(s) to achieve that.

When: 12 January 2023 from 2.00 pm to 4.30 pm

Where: online

This event will start with a lecture by Klaus Kammermeier (InnovationLabs) to get the background, theory and vocabulary on Finance / Investment of an AI/Software spin-off.

It will then be followed by a direct exchange with our two guests: multi-founder Manuel Opitz, CEO from deepeye and venture capitalist investor Oliver Schoppe, from UVC Partner.

Turn Your Data Science into Business! (

Registration: here

For questions/comment, please reach out to mathieu.seyfridnoSp@m@helmholtz-muenchen.de

 


 

The national center of excellence ML4Earth together with Helmholtz AI and the international future lab AI4EO invites you to participate in the Explainable Artificial Intelligence (xAI) Workshop.

Learn about the BayesFlow methodology in Prof. Ullrich Köthe's talk, and about out-of-distribution generalization, multi-modal and zero-shot learning in Prof. Zeynep Akata's talk. Discuss on a round table the present and future of xAI.

In the afternoon, you will have a hands-on introduction to xAI, and to end the day, the ML4Earth Hackathon will be introduced.

Where: Conference Center Kolpinghaus Munich 

When:  November 22, 2022, 9 am - 5 pm

For more information and registration please click here

We are looking forward to meeting you in person. However, if you can't be there, we will also be happy to get in touch with you online!


 

On November 15 from 02:00 to 6:00 PM CET the Helmholtz Information & Data Science Academy is hosting a career day for all interested data scientists and IT experts. 

 

The Career Day is a great opportunity to:

  • Meet data scientists and IT experts from Helmholtz Centers throughout Germany and from international partner institutions in networking sessions, the expo area or in one to one appointments
  • Join HiDA’s conference program and learn about career paths with impact from data scientists and IT experts in exciting talks, panels and Q&As.
  • Explore applied data science job opportunities in the fields of aeronautics, space and transport, earth and environment, energy, health, information and matter and learn what it’s like to work with supercomputers

The event will take place online. We are looking forward to seeing you there!

 Register here 


 

In the last two years, Helmholtz AI has been formed in the Helmholtz Data Science Incubator to foster the application of AI methods in all scientific disciplines. The AI consultant teams cordially invite you to a Helmholtz AI on-site consulting on November 2 and 3, 2022.

The AI consultant teams support scientists not only on a conceptual level, but can also provide operative support, implementation, and evaluation.

What can you expect?

On November 2 at 2 pm, during a presentation in the central library at FZJ, the Helmholtz AI consultants will introduce themselves, their offer, and present recent success stories from research collaborations. The introductory section will be followed by a general question and answer session.

In addition, time slots for walk-in consultings in smaller rounds are reserved. In these 1-on-1 sessions, scientists from FZJ can engage in discussion on how Helmholtz AI, the Helmholtz AI consultants, and AI methods, in general, can support and advance their research.

Further information about Helmholtz AI and the consultant teams can be found at https://www.helmholtz.ai . Please find additional information and register yourself https://events.hifis.net/event/531 .

Book your consulting date now!


This event is organised jointly by FZJ, HZDR and Helmholtz Munich consultants teams


 

Be part of the matter Helmholtz AI consultants´ visit at the Gesellschaft für Schwerionenforschung (GSI).

With this meeting, we like to learn

  • what Machine Learning methods are being used,
  • what your Machine Learning needs are and
  • where we (as Helmholtz AI consultants) can support in the future

 

Where: Gesellschaft für Schwerionenforschung (GSI)

When: 1 November, 2022, 1 pm-5 pm

Who: Any Helmholtz staff is eligible to participate: from master/PhD student to Postdoc, staff scientist, non-science staff, institute lead or team lead. Based on our mandate, we are happy to accept any member of matter research in Helmholtz. If resources are available, we also appreciate scientists from other fields. The most important thing however will be that you bring data!

The day is structured in two parts:

  1. a general recap of what Helmholtz AI consultanting (open for all)
  2. the walk-in service session(s) (on registrations only)

For more information and registration please click here.

 

 


 

At the core of the Helmholtz AI mission is fostering cross-field creativity by stimulating collaborative research projects in applied machine learning (ML)
and artificial intelligence (AI). Therefore, the annual Helmholtz AI project call, funded by the Helmholtz Association's Initiative and Networking Fund (INF), aims to support this goal. We hope that these project calls help you develop enriching partnerships and exciting new project ideas.

Are you interested in submitting a proposal for the 2022 project call but are unsure and still have some questions? This is your chance!

Register for one of our two information events about the Helmholtz AI project call 2022. 

When? 20 October & 10 November 2022, 10-11 am CEST

Where? Online

Please register here for the 20 October.

Please register here for the 10 November.

You can find all information about the Helmholtz AI call 2022 here.


 

We are pleased to announce the 6th BigBrain Workshop as an in-person event in Zadar, Croatia. With the upcoming workshop, we aim to reach out to the international community of BigBrain users and invite researchers from our global network (and beyond) to present their work and discuss future prospects of the BigBrain data and tools, in particular an exchange of views on how high performance computing (HPC) and artificial intelligence (AI) can be better used to develop multi-modal, high-resolution tools for BigBrain data and related datasets. We are proud to announce Mu-ming Poo and Ivica Kostović as our keynote speakers.

The workshop will be organized as a symposium, with both invited speakers and contributed talks as well as a poster and demo session. We welcome short abstracts of current work and/or short proposals for future initiatives related to the BigBrain or similar data. The event is free of charge but prior registration is required.

  • When?            25 - 27 October 2022
  • Where?          Zadar, Croatia (Falkensteiner Hotel & Spa Iadera)
  • Who?             The workshop is co-organized by McGill University Montreal, University of Zagreb &
                          Forschungszentrum Jülich as part of HIBALL with support from Helmholtz AI.
  • Deadlines?    20 July 2022 (Registration including accommodation at the conference venue)
                          27 September 2022 (Abstract submission for talks)
                          11 October 2022 (Abstract submission for posters)
                          18 October 2022 (Upload of camera-ready posters)
                          25 September 2022 (Registration)

Workshop co-organisers: Alan C Evans (McGill University), Paule-Joanne Toussaint (McGill University), Katrin Amunts (FZJ, Helmholtz AI associate), Susanne Wenzel (FZJ, Helmholtz AI), Goran Sedmak (University of Zagreb), Andrija Štajduhar (University of Zagreb), and Tena Popović (University of Zagreb)

Register and/or submit an abstract


 

Join our sister platform Helmholtz Metadata Collaboration (HMC) at their first virtual conference on October 05/06 (09:00 - 14:00). 

HMC is a platform developing and implementing novel concepts and technologies for a sustainable handling of research data through high-quality metadata within the Helmholtz Association.

The virtual conference is the perfect opportunity to get an insight into the latest developments in the field of metadata, to exchange ideas on solutions for generating high-quality metadata, technical solutions and applications, to inform yourself on practical solutions from different research areas, to get an update on the latest developments within HMC, and to network and interact with the Helmholtz metadata community and beyond.

You want to present a metadata project in the poster session? Then check out the call for abstracts (deadline: 17 August 2022).

  • When?           05 - 06 October 2022
  • Where?         Online

More information and register here! (open until 28 August 2022)


 

in conjunction with MICCAI

As we witness a technological revolution that is spinning diverse research fields including healthcare at an unprecedented rate, we face bigger challenges ranging from the high cost of computational resources to the reproducible design of affordable and innovative solutions. While AI applications have been recently deployed in the healthcare system of high-income countries, its adoption in developing and emerging countries remains limited. Given the breadth of challenges faced particularly in the field of healthcare and medical data analysis, we present the second workshop aiming to i) raise awareness about the global challenges in healthcare, ii) strengthen the participation of underrepresented communities at MICCAI, and iii) build a community around Affordable AI and Healthcare in low resource settings.

There are formidable challenges that remain untackled in this field which are spanned by different questions: (1) How to promote knowledge sharing between AI institutions for developing countries? (2) How to build robust and affordable solutions that can be used with limited technology, poor-quality data and/or unstable communication? (3) How can we propel the collection and analysis of data for underrepresented populations with limited quality and annotation? (4) How can we encourage computer scientists and clinicians to identify unmet clinical needs in neglected diseases that can benefit from affordable AI solutions? - just to raise a few.

We invite you to submit a paper in Springer Lecture Notes in Computer Science (LNCS) style with 10(main) + 2(ref) pages that address medical problems of emerging and developing countries via algorithms spanning different sub-fields. Further details can be found here.

  • When?           18 September 2022, 3:40 PM to 7:10 PM (SGT time)
  • Where?          25th International Conference on Medical Image Computing and 
                          Computer Assisted Intervention (MICCAI)  (Resorts World 
                          Convention Centre, Singapore)
  • Deadlines?    25 June 2022 (Paper submission)
                          16 July 2022 (Notification of paper decisions)
                          30 July 2022 (Camera ready paper)

Workshop co-organisers: Shadi Albarqouni (HelmholtzAI, TU Munich), Bishesh Khanal (NAAMII), Islem Rekik (ITU), Nicola Rieke (NVIDIA), Debdoot Sheet (IIT Kharagpur), Sophia Bano (University College London).

Register on the MICCAI website or submit a paper here (until 25 June 2022).


 

Academy (HIDA) and Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz AI) have teamed up to create an exciting data challenge at the Incubator Summer Academy - From Zero to Hero.

Join us and find elegant domain transfer solutions for blood-cell classification.

Manual classification of blood cells is a tedious, but important task, for instance to diagnose diseases such as anemia or leukemia. Machine learning makes it easier, but algorithms that work on one set of images might not work on another. Join this challenge and find a solution that may contribute to making clinicians lives easier.

We’ll kick off on 14 September with an introduction to the challenge and end with our award ceremony on 23 September. A team of experts will mentor you throughout the challenge where you’ll be working on your own time. Computing resources are available via HAICORE.

  • When?           14 - 23 September 2022
  • Where?         Online

Register here! (until 22 September 2022)


 

The five platforms Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz AI), Helmholtz Imaging (HI), Helmholtz Information & Data Science Academy (HIDA), Helmholtz Federated IT Services (HIFIS), and Helmholtz Metadata Collaboration (HMC) have teamed up to create an exciting program.

From fundamental workshops like „Introduction to Python“ to advanced courses on „Machine Learning for Instance Segmentation and Tracking“, participants will be able to pick and choose offers that best suit their experience levels and interests. In our data challenge, you and your teammates can put your (newly acquired) knowledge to the test. You’ll get the chance to network with colleagues from all Helmholtz centers and learn more about career opportunities and data science-related exchange programs. Finally, don’t miss our lectures by data science experts!

  • When?           12 - 23 September 2022

More information is coming soon. Stay tuned!


 

The minisymposium "Towards ESM-ML Hybrids with Practical Workflows and Model Integration" will take place at the PASC22 Conference, June 27-29, in Basel (https://pasc22.pasc-conference.org/).

A promising application area for Machine Learning (ML) in the domain of Earth System Modeling (ESM) and Numerical Weather Prediction (NWP) revolves around scalable solutions that embed ML in running ESM/NWP code. For example, in order to ensure the long-term stability of ML models that can substitute existing model parameterizations, it may be required to tune an ML model against a live numerical model, in addition to the challenge of getting initial training data extracted from the model at possibly high spatial and temporal resolutions in the first place. Such setups are much more complex than offline training settings in terms of software integration and CPU-GPU data exchange in an HPC setup. The standard ML workflows will generate models for inference whose utility is currently limited to the Python ecosystem. Exporting them to work with ESMs in Fortran or C environments results in cumbersome workflows. Tackling such challenges is of key value to research and development efforts that aim to build ESM-ML hybrids. To encourage collaboration and formulation of best practices, the minisymposium will bring together ESM and ML developers, HPC experts as well as software engineering expertise revolving around building Python/Fortran/C bridges, and foster exchange with other application domains.

The minisymposium will feature talks by Caroline Arnold (DKRZ)/Shivani Sharma (Hereon), Noah Brenowitz (Allen AI) and Sam Partee (HPE).

  • When?            27 - 29 June 2022
  • Where?          PASC22 conference (Congress Center Basel, Switzerland)

Minisymposium organizer: Tobias Weigel (Helmholtz AI, DKRZ)

Register on the PASC22 website!


 

“In a data-driven future, it will be key to democratise AI to tackle societal challenges and maximise research impact. That is what Helmholtz AI is about."

Join us to meet method and domain specialists with a shared interest in Artificial Intelligence (AI), discuss use cases in applied AI/ML and expand your network. Building an open and dynamic community is Helmholtz AI's vision, let’s engage!

  • When?             02 - 03 June 2021
  • Where?           Maritim Hotel & Internationales Congress Center Dresden or virtual

Additionally, you can join the discussion on Twitter through the hashtag #HelmholtzAIcon.

Register here!


 

In the CountMeIn challenge, participant teams will solve a challenging data science problem from the field of remote sensing: a spatially resolved population estimate based on satellite images. The challenge task is to solve the problem to a target accuracy using the least amount of resources possible. In two tracks, two of the most valuable resources are addressed. In the GoGreen track, the contribution that uses as little energy as possible wins. In the GoFast track, the contribution that uses as little time as possible wins.

  • When?            11 April - 23 May 2022
  • Where?          Online

Organisers: Sugandha Doda (DLR), Roshni Kamath (FZJ), René Caspart (KIT), Stefan Kesselheim (Helmholtz AI, FZJ) and Andrés Camero (Helmholtz AI, DLR)

More information here!


 

in conjunction with MICCAI

Deep learning empowers enormous scientific advances, with key applications in healthcare. It has been widely accepted that it is possible to achieve better models with growing amounts of data. However, enabling learning on these huge datasets or training huge models in a timely manner requires distributing the learning on several devices. One particularity in the medical domain, and in the medical imaging setting is that data sharing across different institutions often becomes impractical due to strict privacy regulations, making the collection of large-scale centralized datasets practically impossible.

Some of the problems, therefore, become: how can we train models in a distributed way on several devices? And is it possible to achieve models as strong as those that can be trained on large centralized datasets without sharing data and breaching the restrictions on privacy and property? Distributed machine learning, including Federated Learning (FL) approaches, could be helpful to solve the latter problem. Different institutions can contribute to building more powerful models by performing collaborative training without sharing any training data. The trained model can be distributed across various institutions but not the actual data. We hope that with FL and other forms of distributed and collaborative learning, the objective of training better, more robust models of higher clinical utility while still protecting the privacy within the data can be achieved.

Through the second MICCAI Workshop on Distributed And Collaborative Learning (DCL), we aim to provide a discussion forum to compare, evaluate and discuss methodological advancements and ideas around federated, distributed, and collaborative learning schemes that are applicable in the medical domain. Further details can be found here

  • When?             01 October 2021 (TBC)
  • Where?           Online

Workshop co-organisers: Shadi Albarqouni (Helmholtz AI, TU Munich), Spyridon Bakas (University of Pennsilvania), M. Jorge Cardoso (King’s College London),  Bennett Landman (Vanderbilt University), Nicola Rieke (NVIDIA), Xiaoxiao Li (Princeton University), Daguang Xu (NVIDIA), Holger Roth (NVIDIA).

Register at the MICCAI website or submit a paper here (until 28th June 2021)


 

Data is the raw material of the 21st century for research, innovation and business. Digital sovereignty requires free, uninfluenced and traceable access to information through open Internet searches with systematic access to web data. Currently, more than 90 % of all web searches in Europe are conducted via Google, which holds immense potential for intentional or unintentional manipulation. Therefore, new concepts for a distributed and open search infrastructure are needed, especially for science and thus also for Helmholtz. Web data and information must become more accessible through uninfluenced access. This warrants the basis for free research and innovation. A European initiative is currently being formed by science and computing centers to develop concepts for a next generation internet search.

During this online workshop we will discuss how the Helmholtz Association could take up and support the open search initiative with its existing capacities and know-how. For example, Helmholtz activities on the use of structured web data repositories could be bundled and pilot applications in areas such as information search and retrieval, knowledge management or information assessment and transparency could be strengthened and further developed.

  • When?            29 September 2021, 9:45 am - 3:30 pm CEST
  • Where?          Online (Zoom)
  • Who?        The workshop is co-organized by the DLR and the Helmholtz Association with support of Helmholtz AI

Workshop co-organisers: Andreas Kosmider (Helmholtz Association), Stefan Voigt (DLR), Rolf Hempel (DLR), Carina Haupt (DLR), Christian Langenbach (DLR), David Hecker (DLR), Witold Arndt (DLR) and Tobias Hecking (DLR, Helmholtz AI)

Register here!

 


 

Featuring Applications from Health & Energy

This is the first hackathon of this kind organized by the Incubator platforms Helmholtz Imaging Platform (HIP), Helmholtz Information & Data Science School for Health (HIDSS4Health), Helmholtz Metadata Collaboration (HMC), Helmholtz Information & Data Science Academy (HIDA) and Helmholtz AI.

This Hackathon is targeting advanced AI-researchers with experience in model development, training and optimization. Participants will join into teams of three to tackle model development for two use-cases, one from the research field of health and one from the research field of energy. The challenge is finding and optimizing a model and its training to minimize energy consumption. The winning team and runner-ups of each use-case will be awarded with awesome prizes, kindly sponsored by Lenovo. Further details can be found here.

  • When?             28 September - 30 September 2021, 9am - 5pm
  • Where?           Online (Zoom)
  • Who?               Co-organized by HIP, HIDSS4Health, HMC, HIDA and Helmholtz AI.

Workshop co-organizers: Charlotte Debus (KIT, Helmholtz AI), Markus Götz (KIT, Helmholtz AI), Fabian Isensee (DKFZ, HIP), Ines Reinartz (KIT, HIDSS4Health), Wolfgang Suess (KIT, HMC), Dasha Trofimova (DKFZ, HIP)

Register here!

 


 

in conjunction with MICCAI

As we witness a technological revolution that is spinning diverse research fields including healthcare at an unprecedented rate, we face bigger challenges ranging from the high cost of computational resources to the reproducible design of affordable and innovative solutions. While AI applications have been recently deployed in the healthcare system of high-income countries, its adoption in developing and emerging countries remains limited. Here, we present the first workshop aiming to i) raise awareness about the global challenges in healthcare, ii) strengthen the participation of underrepresented communities at MICCAI, and iii) build a community around Affordable AI and Healthcare in low resource settings. We are looking for contributions on (a) making AI affordable for healthcare, (b) making healthcare affordable with AI, or (c) pushing the frontiers of AI in Healthcare that enables (a) or (b).

There are formidable challenges that remain untackled in this field which are spanned by different questions: (1) How to promote knowledge sharing between AI institutions for developing countries? (2) How to build robust and affordable solutions that can be used with limited technology and poor data and communication quality? (3) How can we propel the collection and analysis of data for underrepresented populations with limited quality and annotation? (4) How can we encourage computer scientists and clinicians to identify unmet clinical needs in neglected diseases that can benefit from affordable AI solutions? -- just to raise a few.

We invite you to submit your contributions (regular long paper -- 12-page limit) that address medical problems of emerging and developing countries via algorithms spanning different sub-fields. Further details can be found here.

  • When?             27 September (TBC)
  • Where?           Online

Workshop co-organisers: Shadi Albarqouni (HelmholtzAI, TU Munich), Bishesh Khanal (NAAMII), Islem Rekik (ITU), Nicola Rieke (NVIDIA), Debdoot Sheet (IIT Kharagpur).

Register on the MICCAI website or submit a paper here (until 01 July 2021).


 

We are delighted that the cooperation between McGill University in Montréal and Forschungszentrum Jülich (FZJ), one of our longest and most successful partnerships, has now been formally organized as a Helmholtz International Lab. This enables us to increase our efforts to build the next generation of multimodal human brain atlases around the successful BigBrain model. With the Helmholtz International BigBrain Analytics & Learning Laboratory (HIBALL) we develop highly detailed 3D brain models using novel AI methods and supercomputing architectures. These models will be exposed through a sustainable, transcontinental research platform for computation and data sharing, with high interoperability with the systems of large brain initiatives. With the upcoming BigBrain Workshop we aim to reach out to the international community of BigBrain users and to invite researchers from our global network (and beyond) to present their work and to discuss future prospects of the BigBrain data and tools. 

The workshop will be organized as a symposium, with both invited speakers and contributed talks as well as a poster and demo session. We welcome short abstracts of current work and/or short proposals for future initiatives related to the BigBrain. The event is free of charge but prior registration is required.

  • When?            22 - 23 September 2021 (TBD)
  • Where?          Online
  • Who?              The workshop is co-organized by McGill University & FZJ as part of HIBALL with support from
                           Helmholtz AI
  • Deadlines?    23 August 2021 (Abstract submission for talks)
                          06 September 2021 (Abstract submission for posters)
                          13 September 2021 (Poster upload)
                          20 September (Registration)

Workshop co-organisers: Alan C Evans (McGill University), Katrin Amunts (FZJ, Helmholtz AI associate), Paule-Joanne Toussaint (McGill University), Susanne Wenzel (FZJ, Helmholtz AI)

Register and/or submit an abstract

 


 

Do you use simulation in physics, economics, archaeology or any other domain? Do you want to find the simulator's parameters that best fits the observations? Then simulation-based inference is something for you!

This is a practical simulation-based inference workshop to help participants understand recent machine learning techniques and apply them to their needs. The workshop will combine lectures and practical hands-on sessions by experts in the field of simulation-based inference. The organizers strive to provide a seamless computing environment for all participants to focus on the content rather than import errors.

  • When?            20 - 22 September 2021, 9am - 5pm CEST
  • Where?          Online (Zoom)
  • Who?        The workshop is co-organized by Tübingen University and HZDR with support of Helmholtz AI

Workshop co-organisers: Álvaro Tejero-Cantero (Tübingen University), Elena Sizana (Tübingen University), Stefan Wezel (Tübingen University), Peter Steinbach (HZDR, Helmholtz AI)

Register here!

 


 

Access to computing resources is key for the Helmholtz AI community to accelerate innovative AI applications. Therefore, the “Helmholtz AI computing resources” (HAICORE) was initiated at the end of 2019 as a one-off measure within the framework of the Helmholtz Incubator. HAICORE comprises Helmholtz Association of German Research Centres funding of 2.5 million euros, mainly for GPU hardware, which is implemented at the Forschungszentrum Jülich (FZJ) and Karlsruhe Institute of Technology (KIT). The resources should be open to the entire AI community within the Helmholtz Association.

This workshop is designed to guide you through the first steps of using supercomputing machines for your own AI application. We will try to get your code and workflow up and running, and aim to make getting started on a supercomputer as smooth as possible. After this course, you will not only be ready to use HAICORE, but you will have taken the first step to unlocking compute resources at the largest scale with a compute time application at the Gauss Supercomputing Center

The workshop will be held in a small group size to ensure that your questions will be addressed. Please let us know what topics you are interested in and we will try to adjust.

  • When?             9 - 10 August 2021, 9am - 1pm CEST
  • Where?            Online
  • Who?               The workshop is co-organized by FZJ & KIT with support from

  Helmholtz AI.

Workshop co-organisers: Alexandre Strube (FZJ), Markus Götz (KIT) and Stefan Kesselheim (FZJ)

Register here!

 


 

Many in the ML community wish to take action on climate change, but are unsure of the pathways through which they can have the most impact. This workshop highlights work that demonstrates that ML can be an invaluable tool in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. Climate change is a complex problem, for which action takes many forms - from theoretical advances to deployment of new technology. Many of these actions represent high-impact opportunities for real-world change, and are simultaneously interesting research problems.

This workshop is part of a series (NeurIPS 2020, ICLR 2020, NeurIPS 2019, ICML 2019) and takes place at the International Conference on Machine Learning (ICML), one of the premier conferences on machine learning. For this iteration of the workshop, the keynote talks and panel discussions will be particularly focused on connections to the Paris Agreement and reaching net-zero emission targets, but submitted papers may be on any topic of relevance to climate change and machine learning. The workshop is open to the public; it is not necessary to submit a paper to the workshop in order to attend.

Workshop co-organisers: Hari Prasanna Das (UC Berkeley), Katarzyna (Kasia) Tokarska (ETH Zurich), Maria João Sousa (IST, ULisboa), Meareg Hailemariam (DAUST), David Rolnick (Mila, McGill), Xiaoxiang Zhu (TU Munich, Helmholtz AI, ELLIS Munich), Yoshua Bengio (Mila, UdeM)

Register (opens May 7) or submit a paper/proposal (until May 31)

 


 

powered by Helmholtz Information & Data Science Academy (HIDA) in cooperation with Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz AI), Munich School for Data Science (MUDS), Ludwig-Maximilians-Universität München (LMU) und  Munich Center for Machine Learning (MCML)

DIVE INTO MACHINE LEARNING

Building on the great response last year, the Virtual ML Summer School will be offered again in 2021. The aim is to provide an introductory course in basic techniques and concepts of supervised machine learning (ML), which has become a central part of modern data analysis.

The course is constructed holistically and as self-contained as possible, in order to cover most relevant areas of supervised ML. While the introductory parts are more aimed at a practical and operational understanding of the covered algorithms and models, we also include sound theoretical foundations and proofs in more advanced sections in order to teach ML theory as self-contained and precise as possible.

  • When?            21 - 27 July 2021 (Part I) & 01 - 07 September 2021 (Part II)
  • Where?          Online
  • Who?              Co-organized by HIDA in cooperation with MUDS, LMU, MCML and
                           Helmholtz AI

Live sessions will take place in two consecutive blocks. Participants sign up for both blocks.

Block 1: 21 - 27 July 2021 (weekend excluded), 9:30 am - 1 pm CEST
21.07. ML Basics
22.07. Regression
23.07. Classification
26.07. Classification knn
27.07. Evaluation

Block 2: 01 - 07 September 2021 (weekend excluded), 9:30 am - 1 pm CEST
01.09. Evaluation
02.09. Trees
03.09. Random Forests
06.09. Tuning
07.09. Practical Advice

Trainers: Bernd Bischl (LMU München, MCML), Ludwig Bothmann (LMU München), Tobias Pielok (LMU München)

Register here!


 

To overcome limitations in computing and data analytics related to Earth System science, the uptake of artificial intelligence (AI) and machine learning (ML) methodologies is currently being explored. Multiple initiatives are now emerging to tackle open challenges such as subscale parametrization, detection of patterns and in-situ analysis, adoption of ML for alternative process models, or dedicated fast prediction systems to address specific end-user needs.

Following the first workshop held in February 2020, this second workshop will provide an update on the state of the art in applying and extending AI/ML techniques in topics relevant to Earth System science, from integrating ML with models to deriving new insights from observational data, to extending AI/ML to impact models and approaches. We call for contributions to the sessions, offering presentation and lightning talk slots for those interested in submitting an abstract. Contributions are welcome from all participants, from updates on ongoing research activities and future plans to technical insights worthwhile to share.

  • When?             03 - 04 May 2021 (14:30-18:00 CEST)
  • Where?            Online
  • Who?                The workshop is co-organized by DKRZ, Hereon and GERICS with support from Helmholtz AI.

Workshop co-organisers: Laurens Bouwer (GERICS), Christopher Kadow (DKRZ), Tobias Weigel (DKRZ/Helmholtz AI), Eduardo Zorita (Hereon)

Register / Submit an abstract

 


 

You would like to contribute to medically relevant research questions with Data Science? Then take part in the first international COVID Data Challenge. The topic will focus on challenges in medical imaging in the context of the COVID pandemic.

EL­LIS Genoa teamed up with HIDA, ELLIS Munich and the Is­rael Data Sci­ence Ini­tia­tive for a two-day-virtual data science challenge, which is supported by Helmholtz AI. The task will be based on multimodal data including images and other variables. Sign up - and use your AI and Data Science skills to help doctors and scientists fight COVID.

How it works
Save your spot today and join us from anywhere with your computer and a stable internet connection in April. You’ll be able to team up and collaborate with data scientists across borders during the virtual event. The winning team will be awarded an attractive prize -  of course related to data science! Please note that the times refer to CET.

We’re looking forward to seeing you there!

  • When?             28 - 29 April 2021 (11:00-17:30 CEST)
  • Where?            Online
  • Who?                The workshop is co-organized by ELLIS Genoa, HIDA, ELLIS Munich and Israel Data Science                          Initiative with support from Helmholtz AI.

Register here!

 


 

In a data-based future, it will be key to democratise access to AI to maximise research impact. We want to show you how. 

Join us to meet method and domain specialists with a shared interest in AI, learn more about the Helmholtz AI initiatives, discuss use cases in applied AI/ML and expand your network.

 

  • When?             14 - 15 April 2021 (afternoon CET)
  • Where?            Online

Additionally, you can join the discussion on Twitter through the hashtag #HelmholtzAIcon.

 


 

Access to computing resources is key for the Helmholtz AI community to accelerate innovative AI applications. Therefore, the “Helmholtz AI computing resources” (HAICORE) was initiated at the end of 2019 as a one-off measure within the framework of the Helmholtz Incubator. HAICORE comprises Helmholtz Association of German Research Centres funding of 2.5 million euro, mainly for GPU hardware, which is implemented at the Forschungszentrum Jülich (FZJ) and Karlsruhe Institute of Technology (KIT). The resources should be open to the entire AI community within the Helmholtz Association.

This workshop is designed to guide you through the first steps of using supercomputing machines for your own AI application. We will try to get your code and workflow up and running, and aim to make getting started on a supercomputer as smooth as possible. After this course, you will not only be ready to use HAICORE, but you will have taken the first step to unlocking compute resources at the largest scale with a compute time application at the Gauss Supercomputing Center

The workshop will be held in a small group size to ensure that your questions will be addressed. Please let us know what topics you are interested in and we will try to adjust.

  • When?             06 - 07 April 2021 (9:00-13:00 CEST)
  • Where?            Online
  • Who?               The workshop is co-organized by FZJ & KIT with support from Helmholtz AI.

Workshop co-organisers: Stefan Kesselheim (FZJ) & Markus Götz (KIT)

Register here!

 


 

GPU Hackathons are five day intensive hands-on events designed to help computational scientists port their applications to GPUs using libraries, OpenACC, CUDA and other tools by pairing participants with dedicated mentors experienced in GPU programming and development. Representing distinguished scholars and preeminent institutions around the world, these teams of mentors and attendees work together to realize performance gains and speedups by taking advantage of parallel programming on GPUs.

collection of GPU lectures, tutorials, and labs are available for all participants at no fee.

This event is jointly organized by Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and Jülich Supercomputing Centre (JSC) in association with the Helmholtz Federated IT Services Software Cluster (HIFIS).

  • When?             15, 22, 23, 24 March 2021
  • Where?            Online

APPLY BEFORE JANUARY 28TH!

 


 

23 SEP 2020 // Helmholtz virtual data science career day 2020

Are you a data scientist looking to contribute to solving major challenges facing society, science and the economy? Then visit the Helmholtz Virtual Data Science Career Day and jump-start the next step in your career. Whether you’re looking for exciting PhD subjects, postdoc positions or other positions in applied data science, this fair will get you in touch with your future employer.

Visit our Helmholtz AI booth and learn about our community and the data science jobs it may offer in these fields: Energy, Earth and environment, Health, Aeronautics, space and transport, Matter and Information.

REGISTRATION CLOSED

 


 

21 SEP - 02 OCT 2020 // Helmholtz ML virtual summer school 2020

powered by Helmholtz Information & Data Science Academy (HIDA) in cooperation with Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz AI)Munich School for Data Science (MUDS)Ludwig-Maximilians-Universität München (LMU) and Munich Center for Machine Learning (MCML)

DIVE INTO MACHINE LEARNING

Core program of the Virtual ML Summer School 2020 is an introductory course to fundamental techniques and concepts of supervised machine learning (ML), which has become a central part of modern data analysis.
In particular non-linear and non-parametric methods have been used successfully in uncovering complex patterns and relationships by computer scientists and statisticians.

 

Programme

 

Sep 21 ML Basics
Supervised regression
Sep 22 Supervised regression
Sep 23 HIDA virtual career day
Sep 24 Supervised Classification
Sep 25 Supervised Classification
Keynote by Bernd Bischl on mlr3
Sep 28 Evaluation
Sep 29 Helmholtz AI showcase - Dominik Thalmeier"Using anomaly detection to identify mutations that effect hearing behaviour"
Trees
Random Forests
Sep 30 Trees
Random Forests
Oct  1 Helmholtz AI showcase - Christian Müller"Sparse predictive modeling of microbiome data"
Tuning
Oct 2 Practical Advice

 

The focus of the course is to give a basic understanding of the different algorithms, models and concepts while explaining the necessary mathematical foundation.

Participants will acquire theoretical as well as practical competencies regarding some fundamental models of learning from data. Also participants will be enabled to conduct a data analysis project, including understanding and interpreting the data, in order to critically judge the advantages and disadvantages of the different methods.

Virtual meetings and group work (except 23 Sep) take place from 1-4:30pm.

You are required to work through course materials (videos, quizzes, online exercises) in prepartion for the live sessions by yourself and at your own pace. The live sessions will be used to put the concepts you learned about into practice.

You will have access to the course materials a couple of weeks prior to the starting date. It is up to you if you prepare topics in the mornings before each session in the afternoon or in the weeks before the course starts.

 

Prerequisites

The course is targeted at ML beginners with a basic, university level, education in maths and statistics:

  • Basic linear algebra: vectors, matrices, determinants
  • Simple calculus: derivatives, integrals, gradients
  • Some probability theory: probability, random variables, distributions
  • Basic statistics knowledge: descriptive statistics, estimators.
    (Linear) modelling from a statistics perspective will help, but is not required.
  • Working knowledge of R

 

Instructors

Bernd Bischl (LMU München, MCML); Tobias Pielok (LMU München); Heidi Seibold (Helmholtz AI)

 

Show Cases

Christian Müller (Helmholtz AI), Dominik Thalmeier (Helmholtz AI)

 

Course Compendia

The program of the Helmholtz Virtual ML Summer School builds on the course program Introduction to Machine Learning (I2ML), which was developed by Bernd Bischl, Fabian Scheipl, Heidi Seibold, Christoph Molnar and Daniel Schalk. Concept and materials are accessible and licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). If you use the course, the initiators are looking forward to your feedback!

 

Registration

The deadline for registration was 31 July 2020.

Registrations that we received afterwards were automatically put on the waiting list. The demand was very high, so we will try to offer more events of this kind in the future.

 

MUDSHelmholtz AI and HIDA are part of the Helmholtz Incubator Information & Data Science.

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05 MAR 2020 // Helmholtz AI kick-off meeting

Visit the Helmholtz AI kick-off meeting event site

Helmholtz AI will enable the efficient and agile development and implementation of applied artificial intelligence (AI) and machine learning (ML) assets across the whole Helmholtz Association. To realize this mission, we strongly support networking between all Helmholtz centres and the official Helmholtz AI kick-off meeting is the perfect opportunity to meet method and domain specialists with a shared interest in AI.

Representatives of all Helmholtz centres will learn more about Helmholtz AI initiatives, discuss use cases in applied AI/ML and expand their network.

  • When?             05 March 2020
  • Where?            Lenbach Palais, Munich

To make the Helmholtz AI Kick-off event accessible to our entire community, we will provide  live streaming of the event on our website. You are most welcome to join us! 

Additionally, you can join the discussion in Twitter through the hashtag #helloHelmholtzAI.

 


 

19-21 FEB 2020 // Hacking for Health: Helmholtz AI health hackathon

UPDATE 14.02.2020 >> REGISTRATION CLOSED - Thank you!

 

In the face of increasingly complex health issues, here at Helmholtz AI central unit - Munich we want to bring together motivated people across the Helmholtz Association to solve real-world challenges through cross-disciplinary collaboration and innovative AI/ML methods. Are you up for the challenge? Here's what you need to do:

> First step: Fill in the FREE registration form before Friday, February 14 

> Second step: Take your laptop

> Last but not least: Join us in Helmholtz Zentrum München for a three-day event (February 19 - 21, 2020) in which you'll be part of a team with other research talents; together you'll try to find an innovative solution to a challenge proposed by a health-focused Helmholtz Center. 

Wait, there's more!

> Each team will be mentored by an expert scientist from the Helmholtz Center that proposed the challenge. 

> Relevant datasets will already be preprocessed so that you can focus on the challenge as much as possible.

> At the end of the Helmholtz AI health hackathon every team gets the chance to present its solutions and even publish the results!

Of course you'll also enjoy delicious food, have fun, get the chance to know each other better and chat with inspiring experts on applied AI and ML. Join us!