[visionlist] Brains, Minds and Machines Summer Course 2026 [APPLICATION DEADLINE = MAR-23-2026]

[Gabriel Kreiman]

Please circulate the course information among labs/departments/students and
social and scientific networks that might be interested. Thank you!

Brains, Minds and Machines Summer Course 2026

https://x.com/gkreiman/status/2020962997536162154?s=20

https://bsky.app/profile/gkreiman.bsky.social/post/3mehd6mgtkk2k



MBL Woods Hole, MA
Directors: Gabriel Kreiman
<https://urldefense.com/v3/__https:/cbmm.mit.edu/node/20__;!!NZvER7FxgEiBAiR_!9ce-qYcbzUaZIp7GmqWSsvLKhsLJh8FHwyVmwBTsR9odWznsfvMR5uyUTvtSP98SKhgv3qr1rU3nCqo$>
; Matt Wilson <https://cbmm.mit.edu/about/people/wilson>; Boris Katz
<https://urldefense.com/v3/__https:/cbmm.mit.edu/about/people/katz__;!!NZvER7FxgEiBAiR_!9ce-qYcbzUaZIp7GmqWSsvLKhsLJh8FHwyVmwBTsR9odWznsfvMR5uyUTvtSP98SKhgv3qr1Bp18xjw$>;
Tomaso Poggio
<https://urldefense.com/v3/__https:/cbmm.mit.edu/node/9__;!!NZvER7FxgEiBAiR_!9ce-qYcbzUaZIp7GmqWSsvLKhsLJh8FHwyVmwBTsR9odWznsfvMR5uyUTvtSP98SKhgv3qr1uf6rOWw$>

Location:  MBL, Woods Hole, MA.
Course Dates: August 7 – August 28, 2026
Application deadline: March 23, 2026

Application: Please visit the MBL website to access the application portal:
https://www.mbl.edu/education/advanced-research-training-courses/course-offerings/brains-minds-and-machines


More information:

https://bmm.mit.edu/



The basis of intelligence – how the brain produces intelligent behavior and
how we may be able to replicate intelligence in machines – is arguably the
greatest problem in science and technology. To solve it, we will need to
understand how human intelligence emerges from computations in neural
circuits, with rigor sufficient to reproduce similar intelligent behavior
in machines. Success in this endeavor ultimately will enable us to
understand ourselves better, to produce smarter machines, and perhaps even
to make ourselves smarter. Today’s AI technologies, such as Watson and
Siri, are impressive, but their domain specificity and reliance on vast
numbers of labeled examples are obvious limitations; few view this as
brain-like or human intelligence. The synergistic combination of cognitive
science, neurobiology, engineering, mathematics, and computer science holds
the promise to build much more robust and sophisticated algorithms
implemented in intelligent machines. The goal of this course is to help
produce a community of leaders that is equally knowledgeable in
neuroscience, cognitive science, and computer science and will lead the
development of true biologically inspired AI.



Invited faculty include Boyden, Brown, DiCarlo, Freiwald, Kaelbing, Katz, Koch,
Kreiman, Poggio, Serre, Sompolinsky, Tellex, Tenenbaum, Wilson



Gabriel Kreiman

CEO, Engramme.com

Professor, Harvard Medical School
http://klab.tch.harvard.edu

https://twitter.com/gkreiman
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