Christian Fenkart
🇦🇹 Software development. Interested in Computer science, Data science, …
@drjohnflackett.bsky.social
AI Educator, Speaker & Advisor | PhD Artificial Intelligence (ML, NLP) | Co-founder & Head of @ailab.world & koolth UK | Australia | New Zealand https://www.ailab.world/dr-john-flackett
@emilymbender.bsky.social
Book: https://thecon.ai Web: https://faculty.washington.edu/ebender
@emollick.bsky.social
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence. Book: https://a.co/d/bC2kSj1 Substack: https://www.oneusefulthing.org/ Web: https://mgmt.wharton.upenn.edu/profile/emollick
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@theo-brown.bsky.social
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
@pranav.bsky.social
Research Scientist at Google DeepMind. ಕನ್ನಡಿಗ. Past: Researchoor, Algorithms team at OpenAI & with Juergen Schmidhuber.
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@rowan.bsky.social
ai research @ thinking machines . realtime video+voice. i like trains and bikes. sometimes I climb rocks and throw pottery.
@girving.bsky.social
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
@yonashav.bsky.social
policy for v smart things @openai. Past: PhD @HarvardSEAS/@SchmidtFutures/@MIT_CSAIL. Posts my own; on my head be it
@rosiecampbell.xyz
Forever expanding my nerd/bimbo Pareto frontier. Ex-OpenAI, AGI safety and governance, fellow @rootsofprogress.
@scottgray76.bsky.social
GPU Geek at @OpenAI. Background Comp/Systems/Cognitive Neuroscience. Strong interest in exploring the incorporation of more Neuro insights into AI/ML. He/Him.
@calinoracation.bsky.social
Member of Technical Staff @ OpenAI. Frontend Web, motion, performance and accessibility. Classical woodworker by night and weekend. 🏳️🌈
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@hails.computer
@jacksonkernion.bsky.social
Now: LLM finetuning, human feedback at Anthropic. Before: MIT postdoc, UC Berkeley philosophy PhD. Built http://deductivelogic.org
@thedsp.bsky.social
Creator of the Model Context Protocol (https://modelcontextprotocol.io) with @jspahrsummers.bsky.social. Member of Technical Staff @ Anthropic. Ex-Meta, Ex-Sun. https://experimentalworks.net
@ingramb.bsky.social
Performance at Anthropic; formerly DeepMind, Epic & Telltale Games; Author of NeoDS, gb68k, and far too many unfinished jrpgs; @[email protected]
@cemanil.bsky.social
Research scientist at Anthropic. PhD in machine learning from the University of Toronto and Vector Institute. Prev: NVIDIA, Google
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA
@janexwang.bsky.social
Staff research scientist at Google DeepMind. AI and neuro. Former physicist, current human. Find more at www.janexwang.com
@dileeplearning.bsky.social
AGI research @DeepMind. Ex cofounder & CTO Vicarious AI (acqd by Alphabet), Cofounder Numenta Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics blog.dileeplearning.com
@theefer.bsky.social
Software engineer at Google DeepMind, amongst other things obviously. Previously Google, the Guardian.
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.