research information

Events

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Friday, 19th - Sunday, 21th June, 2023

2nd AI-HERO HACKATHON On Energy Efficient AI

Marsilius Arkaden, Heidelberg

Have you ever wondered how much energy your deep models consume during training and inference? 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?

If so – then the 2nd AI-HERO hackathon is for you! 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.

The hackathon is organized jointly by Helmholtz Imaging, Helmholtz AI, HMC and KIT, and will take on 19-21 June 2023. You can register now! Registration is on a first-come, first-served basis.

Target group: AI-researchers with experience in model development, training and optimization
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

More information & registration

Institutions
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Monday, September 25tt, 2023 & Wendsday 27th, 2023 | 09.00-18.00

MLE Days 2023 - Summer School and Conference for Machine Learning in Engineering

Hamburg University of Technology (TUHH)

On September, 25th to 27th, 2023 the third MLE Days on machine learning in engineering will take place on the campus of the Hamburg University of Technology (TUHH). This year, it combines a summer school with a one-day startup-challenge. Participation is free of charge.

The Summer School teaches insights into the world of machine learning with a focus on engineering. It provides sessions about fundamentals of machine learning, concrete application examples, as well as hands-on sessions to try out and consolidate lessons learned. Keynote talks complete the program. Three parallel tracks are provided to allow participants to choose contributions adapted to their interest and machine learning experience. The use cases range from sensor and image processing, to electrical engineering and materials science, to aviation and maritime logistics. A poster session and an elevator pitch event allow participants to present their own work on machine learning topics. The best posters and pitches will be selected by a jury and awarded prizes. A networking event allows attendees to establish contacts with selected corporate partners and sponsors from start-ups and medium-sized businesses to large corporations. In the startup-challenge attendees learn how to turn machine learning ideas into a business.

The MLE Days are organized by the Machine Learning in Engineering research initiative of the TUHH (MLE@TUHH) in collaboration with the Helmholtz Center Hereon, DASHH, and the Career Center of TUHH, the AI.Startup.Hub, and AI.HAMBURG. The MLE initiative joins the competencies in the field of machine learning at the Hamburg University of Technology with the goal of transferring knowledge towards business and industry. Students, PhD students, postdocs, and professors from all disciplines of the TUHH are engaged together with colleagues from the Helmholtz Center Hereon to make methods and applications of machine learning known, to network, and to foster scientific exchange.

Join us to discover the new applications of machine learning in engineering practice!

Institutions

  • Hamburg University of Technology (TUHH) 

Universität Hamburg
Adeline Scharfenberg
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Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.