Highlights
- Pro
Gizem Ozdil
gizemozd
Research Fellow @KempnerInstitute at Harvard | Prev PhD @NeLy-EPFL @biorob 🇨🇭 Intern @google-deepmind @flatironinstitute
Peter Steinberger
steipete
Full-Time Open-Sourcerer Vienna & London
Felix Sosa
flxsosa
AI, CogSci, EvoComp. MIT/Harvard. Live coding and reading group for AI on twitch.tv/flxsosa
Cambridge, MA
TU Graz - SAL Dependable Embedded Systems Lab (DES Lab)
DES-Lab
In the DES Lab we conduct fundamental research in order to ensure the dependability of computer-based systems.
Paradigms of Intelligence Team
paradigms-of-intelligence
Advance our understanding of how intelligence evolves to develop new technologies for the benefit of humanity and other sentient life
Adam J. Eisen
adamjeisen
Computational Neuroscientist + ML Researcher | Control theory + deep learning to understand the brain | PhD Candidate @ MIT
MIT Cambridge, MA
Brendan Meade
brendanjmeade
Professor of Earth & Planetary Sciences at Harvard University
Harvard University Cambridge, MA
Danyal Akarca
DanAkarca
Computational neuro, AI, compute @ Imperial College London & Cambridge.
Building at the intersection of brains & machines.
University of Cambridge London, England
Scott Gigante
scottgigante
Head of Engineering & Founding Engineer, Sightline Climate
Sightline Climate Washington, DC
Evolutionary-Intelligence (Qiqi Duan - 段琦琦)
Evolutionary-Intelligence
Evolutionary Intelligence for Learning, Optimization, Modelling/Simulation, and Design (from Practice to Theory).
Department of Artificial Intelligence, School of Computing and Artificial Intelligence, JXUFE China
Luke Meyers
metric-space
How does the mathematician – closer to the artist than the explorer – by turning away from nature, arrive at its most appropriate descriptions?
PreviousNext