24–28 March 2020
Abstract Deadline: 10 January 2020
Raia Hadsell, DeepMind, United Kingdom
Blake Richards, Montreal Institute for Learning Algorithms, Canada
Anthony Zador, Cold Spring Harbor Laboratory
We are pleased to announce a new Cold Spring Harbor conference at the intersection of neuroscience and artificial intelligence, which will begin at 7:30 pm on Tuesday, 24 March and run through lunch on Saturday, 28 March 2020.
Artificial intelligence (AI) and neural networks have long drawn on neuroscience for inspiration. However, in spite of tremendous recent advances in AI, natural intelligence is still far more adept at interacting with the real world in real-time, adapting to changes, and doing so under significant physical and energetic constraints. The goal of this meeting is to bring together researchers at the intersection of AI and neuroscience, and to identify insights from neuroscience that can help catalyze the development of next-generation artificial systems.
Abstracts are welcomed on all scientific topics related to the interface between neuroscience and artificial intelligence. Topics of interest include but are not limited to network architectures, computing with spiking networks, learning algorithms, active perception, inductive bias, meta-learning, and online learning.
For more information：https://meetings.cshl.edu/meetings.aspx?meet=NAISYS&year=20