From Neuroscience to Artificially Intelligent Systems (NAISys)
September 27 - October 1, 2027
Abstract Deadline: July 9, 2027
Organizers:
Anthony Zador, Cold Spring Harbor Laboratory
We are pleased to announce the fourth Cold Spring Harbor conference on From Neuroscience to Artificially Intelligent Systems (NAISys), which will begin at 7:30 pm on Monday, September 27 and run through lunch on Friday October 1, 2027.
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:
tba
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 The abstracts should focus on new and unpublished data.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 Kelley McGrath.
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
Kelley McGrath
This meeting kicks off CSHL’s NeuroAI Scholars Program where AI scientists are embedded 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.
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: $2005
Academic/Media Private Room/Shared Bath Package: $1875
Academic Shared Room Package: $1715
Academic/Media No-Housing Package: $1280
Student Package*: $1595
Student No Housing Package: $1160
Corporate Private Room/Private Bath Package: $2560
Corporate No-Housing Package: $1835
*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
Virtual Participation: Includes access to the oral sessions via Zoom, the digital poster gallery, the Slack discussion workspace, and the Leading Strand video archive. If you are submitting an abstract for an oral or poster presentation, please plan to attend the meeting in-person.
Virtual Fees:
Academic Virtual Package $380
Grad Student Virtual Package: $235
Corporate Virtual Package: $565
Late Fee (Registrations submitted after 5:00 p.m. ET on September 23, 2027)
Late Academic Virtual Package: $480
Late Student Virtual Package: $335
Late Corporate Virtual Package: $665