AI researcher Google DeepMind * hon. professor at Heriot-Watt University * mother of dragons * Own opinions only.
RA @ MPI-IS | Previously Machine Learning @UCL and STIA @Georgetown | Interested in NLP, interpretability, model editing, unlearning, reasoning, safety.
Economist and legal scholar turned AI researcher focused on AI alignment and governance. Prof of government and policy and computer science at Johns Hopkins where I run the Normativity Lab. Recruiting CS postdocs and PhD students. gillianhadfield.org
Jack of all trades, master of some
•ⒶⒾ@DeepMind
•Personal account
•Mostly AI/ML/CS/biotech/physics/math/complexity/art/animals
•They/Any
•⚛️🏳️🌈🇬🇧🇨🇦🇺🇸🇪🇺
Research scientist at Google DeepMind. I work on Astra: a universal AI assistant that's helpful in everyday life.
Scientist @ Google DeepMind
Research scientist in machine learning at Google DeepMind, theatre director and co-founder of Improbotics, visiting researcher at Goldsmiths. Ex-Bell Labs, Microsoft, PhD at NYU. Work in AI for weather and climate & AI for artistic creativity. he/him.
PI at the cog-sci dept at the university of Haifa. Social-cognitive-computational psychology, and sometimes neuroscience.
www.socialdecisionlab.net
AI developer at Google DeepMind
🇺🇸🇺🇸🇺🇸 Democracy is worth fighting for 🇺🇸🇺🇸🇺🇸
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Retired professor of modern world history and politics, public radio commentator and author.
CTO of Technology & Society at Google, working on fundamental AI research and exploring the nature and origins of intelligence.
I can be described as a multi-agent artificial general intelligence.
www.jzleibo.com
Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.
International Conference on Learning Representations https://iclr.cc/
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
RL researcher at DeepMind
https://schaul.site44.com/ 🇱🇺
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
