From Neuroscience to Artificially Intelligent Systems (NAISys)
April 5 - 9, 2022
Abstract Deadline: February 7, 2022
Organizers:
Doris Tsao, University of California Berkeley/HHMI
Blake Richards, Mila, Québec AI Institute, Canada
Anthony Zador, Cold Spring Harbor Laboratory
Call for Applications: TCCI Writing Fellowship - application deadline March 18, 2022
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** We are pleased to announce we will be hosting this meeting safely in-person **
COVID-19: All participants planning to attend in-person will be required to provide documentary proof of full vaccination AND first booster (when eligible) with an FDA or EMA approved vaccine. Additional safety measures will be in line with current NY and federal guidelines. For more information, see COVID-19 Policies and Protocols.
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We are pleased to announce the second Cold Spring Harbor conference on From Neuroscience to Artificially Intelligent Systems (NAISys), which will begin at 7:30 pm on Tuesday, April 5 and run through lunch on Saturday, April 9, 2022.
Sample Schedule Outline
This meeting kicks off CSHL’s NeuroAI Scholars Program where AI scientists are imbedded in CSHL’s world-class neuroscience laboratories for an exciting two year exchange of interdisciplinary study. For more information please visit CSHL's NeuroAI Webpage.
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 how principles and insights from neuroscience can lead to better 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. Please note that abstracts should be ONE page (~2900 characters).
Topics:
- Neurally-inspired learning and meta-learning rules
- Neurally-inspired circuits
- Spiking neural networks
- Interpretable neural networks
- Bio-inspired robotics
- Neurally-inspired continual learning systems
- Cognitive models in AI
- Unsupervised and self-supervised learning
Speakers:
Andrew Barto, University of Massachusetts
Matt Botvinick, Deep Mind, United Kingdom
Mike DeWeese, University of California Berkeley
Tatiana Engel, Cold Spring Harbor Laboratory
Sam Gershman, Harvard University
David Ha, Google Brain, Japan
David Hu, Georgia Institute of Technology
Simon Kornblith, Google Inc.
Wolfgang Maass, Graz University of Technology, Austria
Alexandre Pouget, University of Geneva, Switzerland
Anna Schapiro, University of Pennsylvania
Friedemann Zenke, Friedrich Miescher Institute for Biomedical Research, Switzerland
Blaise Aguera y Arcas, Google
Kanaka Rajan, Icahn School of Medicine
Aude Oliva, Massachusetts Institute of Technology
Pieter Roelfsema, Netherlands Institute for Neuroscience, Netherlands
Anima Anandkumar, California Institute of Technology
Irina Rish, Mila-Quebec AI Institute, Canada
Josh Tenenbaum, Massachusetts Institute of Technology
Ida Momennejad, Microsoft Research
The format of the meeting will include eight oral sessions and two poster sessions. Each oral session will include invited speakers and speakers selected from submitted abstracts. For this reason, abstracts from accomplished junior and senior investigators are warmly invited. The abstracts should focus on new and unpublished data. The organizers will select abstracts for oral or poster presentations. The status (talk/poster) of abstracts will be posted on our web site (below) as soon as decisions have been made.
We have applied for funds from government and industry to partially support graduate students and postdocs. Please apply in writing stating your need for financial support to Samantha Mastronardi.
Preference is given to those submitting abstracts.
All questions pertaining to registration, fees, housing, meals, transportation, visas, abstract submission, or any other matters may be directed to
Samantha Mastronardi.
Additional support provided by: Tianqiao & Chrissy Chen Institute
Social Media:
The designated hashtag for this meeting is #cshlNeuroAI. Note that you must obtain permission from an individual presenter before live-tweeting or discussing his/her talk, poster, or research results on social media. Click the Policies tab above to see our full Confidentiality & Reporting Policy.
Pricing:
In-Person Fees
Academic/Media Private Room/Private Bath Package: $1,655 (Subject to availability.)
Academic/Media Private Room/Shared Bath Package: $1,555
Academic Shared Room Package: $1,415
Academic/Media No-Housing Package: $1,055
Student Package*: $1,315
Student No-Housing Package: $955
Corporate Private Room/Private Bath Package: $2,115
Corporate No-Housing Package: $1,515
*Student Housing is default double occupancy. Please enquire about availability and fees to upgrade to private room.
Room packages close 2 weeks before the meeting start date