The quest to understand the nature of human intelligence and engineer more advanced forms of artificial intelligence are increasingly intertwined. The Algonauts Project brings biological and artificial intelligence researchers together on a common platform to exchange ideas and advance both fields. Our first challenge and workshop, Explaining the Human Visual Brain, will focus on building computer vision models that simulate how the brain sees and recognizes objects, a topic that has long fascinated neuroscientists and computer scientists.
Inspired by the astronauts who launched into space to explore a new frontier, the Algonauts Project aims to explore human and machine intelligence with the latest algorithmic tools. Comparing how brains and models respond could lead to unexpected insights into what makes intelligent systems efficient, robust and trustworthy.
The brain has inspired many of the algorithms responsible for the recent and spectacular progress in artificial intelligence. Those algorithms are now critical in testing new theories about the brain. The Algonauts Project brings together intelligence researchers in both domains to accelerate the pace of innovation.
Hackathon-like competitions like the Explaining the Human Visual Brain Challenge create an environment for sharing and collaboration, which are important for advancing science and ensuring that results are valid and reproducible. The Algonauts Project is committed to a spirit of open collaboration.
The Algonauts Project is designed to expand to other fields, from physics and biology to the social sciences, and to complement experimental, theoretical and computational disciplines. It will grow, in content and methods, with the communities that shape this endeavor.
The first Algonauts Project challenge will evaluate computational models based on human visual brain data.
Learn more about the challenge
The first day, July 19, features introductory tutorials on how the human brain processes visual stimuli; state-of-the-art object recognition models in computer vision; an overview of methods for studying human visual brain function.
The second day, July 20, features keynote talks by leading experts at the intersection of human and machine vision, and a poster session. Challenge winners will be invited to present their models.
There is a call for abstract submissions. Selected abstracts will be invited to present as a poster during the workshop.
Students who submitted an abstract entry to the challenge will be eligible to apply for travel funding.
Funding will be given to students with the best entries, at the discretion of the organizing committee.
Learn more about the workshop and abstract submission
|Training data, test data, and development kit released:||April 1, 2019|
|Challenge submission deadline:||June 22, 2019|
|Challenge results released:||July 1, 2019|
|Abstract submission deadline:||June 22, 2019|
|Workshop registration opens:||June 22, 2019|
|Notification of abstract acceptance:||July 1, 2019|
|Workshop registration deadline:||July 12, 2019|
|Workshop:||July 19–20, 2019|
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva. The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. arXiv: 1905.05675. paper | bibtex
We will provide a more extensive paper including the results of the challenge at a later time point.