Post-doc @ VU Amsterdam, prev University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, commonsense reasoning https://www.emilevankrieken.com/

AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley. Newsletter (50k subscribers): garymarcus.substack.com

FR/US/GB AI/ML Person, Director of Research at Google DeepMind, Honorary Professor at UCL DARK, ELLIS Fellow. Ex Oxford CS, Meta AI, Cohere.

Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA

Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they

Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊

Abolish the value function!

Associate Professor in Data Science and AI at Chalmers University of Technology. Neuro-symbolic AI, AI for maths, a bit of NLP and stir.

Researcher @Nvidia | PhD from @CopeNLU | Formerly doing magic at @Amazon Alexa AI and @ARM. ML MSc graduate from @UCL. Research is the name of the game. ᓚᘏᗢ http://osoblanco.github.io

Categorical Deep Learning.

Cognitive scientist seeking to reverse engineer the human cognitive toolkit. Asst Prof of Psychology at Stanford. Lab website: https://cogtoolslab.github.io

Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕

Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.

phd student @ mit researching llm's for programming

Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.

Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS

Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant

Professor @ucsd & Visiting Academic @AWScloud. Helps people write code they can trust