ARCathon Challenge: A world record attempt on Artificial Intelligence

The CLAIRE network and the newly founded Artificial Intelligence Lab "Lab42 " in Davos, Switzerland, are inviting all European AI-Labs to contribute to a World Record attempt in AI.

This event is organized by Lab42 in collaboration of the CLAIRE Office Switzerlad

While there are impressive advances in classical machine and deep learning, there are simple tasks such as the ARC Challenge (Abstraction & Reasoning Corpus) that are still beyond reach of any of the modern algorithms. See here the interview of Lex Fridman with the originator of ARC, François Chollet, founder of Keras and holder of the Global AI Award 2021

More information about ARC: See this information video or checkout the ARCathon website

In this session, François Chollet and representatives from Lab42, ETH and University of Zurich will introduce the challenge, provide an update on the state of the art and share some inspiration on how to beat the current world record in AI.

We are convinced, that solving ARC is an important milestone in our quest to understand intelligence and ultimately create human level intelligent machines. Please join us in this event, learn how to register as a Lab and help us push further the field of AI.

Speakers/Panelists

François Chollet, Google (Linkedin)

François Chollet is a French software engineer and artificial intelligence researcher currently working at Google. Chollet is the creator of the Keras deep-learning library, released in 2015, and a main contributor to the TensorFlow machine learning framework. His research focuses on computer vision, the application of machine learning to formal reasoning, abstraction, and how to achieve greater generality in artificial intelligence.

Benjamin Grewe, ETHZ/UZH, Lab42 (Website, LinkedIn)

Benjamin Grewe is Group Leader of the group Neural Learning and Intelligent Systems at the ETHZ/UZH Institute for Neuroinformatics and co-founder of Lab42 in Davos, Switzerland. His long-term vision is to extract fundamental principles of network-learning from real biological networks and then to reverse-engineer their functionality as logical, reproducible algorithms. I am convinced that an analytical understanding of neural network computation and learning would allow us to implement similar neural algorithms in software or directly as electrical circuits. Coming close to mimic human thinking and performance such new technologies would be poised to transform our daily use of intelligent systems.

Pascal Kaufmann (LinkedIn)

Pascal Kaufmann is a neuroscientist-turned-entrepreneur. In 2010, Kaufmann founded the company Starmind for self-learning knowledge networks together with the business IT specialist Marc Vontobel. In 2017, he launched the Mindfire group that aims to decipher the principles of intelligence and to make this knowledge available to cutting edge research for empowering humans. Kaufmann sits on numerous boards and institutions and is currently president of the Tech category of the Swiss Digital Economy Award.

Daniela Suter. Mindfire Foundation, Lab42 (LinkedIn)

Future-oriented topics in life sciences, collective intelligence, and AI are my daily business. Bringing together a scientific career and 10+ years of communications experience in the Health, Science & Tech industry focussing on PR, Media Relations, Public Affairs, Digital Marketing, Strategic & Integrated Communication, Stakeholder Management, Internal Communication, Writing & Editing.

Host

Ricardo Chavarriaga, CLAIRE (LinkedIn)

Ricardo Chavarriaga is a neuroscientist and engineer in electronics passionate about responsible development and societal implications of technology. His work is focused on fostering research and innovation in emerging technologies towards the benefit of society. He is senior researcher at ZHAW and fellow at the Geneva Center for Security Policy (GCSP). He is the head of the Swiss office of the Confederation of Laboratories for AI Research in Europe (CLAIRE).

About Lab42

Lab42 is a global AI research lab aiming for a giant leap: building human-level artificial intelligence for the benefit of humankind. Lab42 accelerates scientific discovery because science is our best hope for human progress and improving the quality of life on a global scale. Unlike other initiatives in the field, Lab42 focuses on AI challenges that are unsolvable to today’s algorithms, crafting a new generation of algorithms far more powerful than today’s machine learning approaches.

About CLAIRE Switzerland

Our Swiss CLAIRE office was initially founded in 2020. Given the strength of its academic and industrial ecosystem, its economic landscape and tradition on the protection of human rights, Switzerland plays an essential role in the advancement of human-centred AI.

We are focusing on empowering the Swiss AI community by connecting European partners and fostering the development of ethical humane, trustworthy AI-powered solutions that are compatible with the social and economic interests of all humans.

For this purpose, the CLAIRE office Switzerland is establishing an active network comprising academia, industry, public entities and international organizations. We actively engage with media and general public through outreach and participatory activities that inform society at large about the state-of-the-art in AI and provide spaces to discuss the effects of these technologies. CLAIRE Switzerland is currently supported and hosted by ZHAW digital , Zurich University of Applied Sciences Winterthur.

You can learn more about CLAIRE’s vision about human-centered artificial intelligence for Europe here.

And please do not forget to have a look at our vision & mission video below!