Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
The Symposium on Foundations of Responsible Computing (FORC) is a forum for mathematical research in computation and society writ large.
https://responsiblecomputing.org/
conversational shopping search at Tonita.co, one-time CS theorist...
promise to post no more than one thread a day - on Tonita, CS / AI, politics, education, exercise, food, beer, whatever I feel like - and no more than 3 per week on any one topic :)
Exploring the intersection of global health metrics, epidemiology, and data science. Bridging the gap between methods and practice to better measure and improve population health worldwide.
Cozy random passages from Arnold Lobel's Frog and Toad books. Posts auto-delete.
Official account for the IACR Crypto conference https://crypto.iacr.org
Assistant Professor @PrincetonCS
Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
Algorithms for Toddlers (https://youtu.be/nnLOi3ia210) | Algorithms for Teenagers (https://tinyurl.com/2cnp39cf) | Algorithms for Grown Ups (http://dblp.org/pid/11/10308)
Cryptographer (lattices/post-quantum), Professor at U-Michigan Computer Science and Engineering , Head of Cryptography Research at Algorand, PhD from MIT CSAIL. Previously faculty at Georgia Tech School of CS. Here I speak for myself.
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Husband, dad, veteran, writer, and proud Midwesterner. 19th US Secretary of Transportation and former Mayor of South Bend.
CS Professor at UMass Amherst. Theoretical computer science, numerical linear algebra, machine learning.
U.S. Senator for Oregon. Rotisserie chicken enthusiast. Senate’s resident privacy hawk.
senatefinance.bsky.social
wydenpress.bsky.social
Technology writer for The Associated Press.
bortutay@ap.org
https://apnews.com/author/barbara-ortutay
Cornell | AEA Data Editor | 🇨🇦🇺🇸🇩🇪
The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal in the areas of privacy, confidentiality, and disclosure limitation. http://www.journalprivacyconfidentiality.org
Historian of technology & dad joke aficionado who lived w/a great little gray rabbit until recently (RIP).
I won’t share AI generated content, except to critique it.
In person I’ll be wearing a KN95. If you care about me put one on too.
www.marhicks.com
Science writer and author of books including Bright Earth, The Music Instinct, Beyond Weird, How Life Works.
I’m not in James Thurber’s attic any more! right now I’m home yay ! I’m the one who writes this column https://www.theatlantic.com/author/alexandra-petri/ and loves puns
Ezra Klein’s tweets, articles, clips and podcasts on Bluesky.
Top news and commentary for technology's leaders, from all around the web.
This account shares top-level Techmeme headlines. Visit https://techmeme.com/ for full context.
⛷️ 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
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
Journalist, currently at The New York Times. I cover privacy, technology, A.I., and the strange times we live in. Named after the Led Zeppelin song. Author of YOUR FACE BELONGS TO US. (Yes, in my head it will always be All Your Face Are Belong To Us)
Professor (computer security and privacy, broadly construed) in the Allen School of CSE at the University of Washington. Also spend my time on parenting, reading, exercising, and writing poetry. She/her.
https://www.franziroesner.com
You know... the weird one.
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Computer things @Berkeley and music things elsewhere.
New blue sky. Same old troll.
Investigative journalism in the public interest. Headlines and (sometimes literal) receipts.
Send us tips: propublica.org/tips
Professor of Computer Science at UT Austin and Visiting Researcher at Google Deepmind, London. Automated Reasoning + Machine Learning + Formal Methods. https://www.cs.utexas.edu/~swarat
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
I SEE (study, engineer, educate) computer networks. Tweets are facts; retweets are alternative facts
Computationalist. Professor. Provost. I also am and do a lot of other stuff.
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Ophthalmologist. Comedian. Speaker. Jonathan.
Newsletter: https://educatedguesswork.org/
Researcher in machine learning
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Professor @ucsd & Visiting Academic @AWScloud. Helps people write code they can trust
A mix of rare, unusual, spectacular, personal, and historic pictures from the earliest days of cricket to modern times
Assistant Professor at BU CDS
EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder
Previously Columbia, UW, Oberlin. Views are mine alone.
www.kiragoldner.com
research scientist at google deepmind.
co-author of JAX (https://github.com/jax-ml/jax).
https://cs.stanford.edu/~rfrostig
Assoc. Prof. at the Hebrew U Business School. Auctions, algorithmic game theory, pricing and competition, basketball.
Assoc. Prof. of CS at the Hebrew University.
Algorithmic Game Theory.
Economics and Computation.
https://sites.google.com/view/babaioff/about-me
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Professor Institute of Science and Technology Austria
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Coffee Lover • Husky Dad • ML Researcher @ • Berkeley Grad
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net
RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
Research scientist at Apple | machine learning, optimization, language modeling
pierreablin.com
Assistant Professor at Stanford
Machine learning, algorithm design, econ-CS
https://vitercik.github.io/
Theoretical Computer Science @ EPFL
Complexity, in all its forms.
Associate Professor of Computer Science at Columbia University.
http://www.henryyuen.net
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
Theoretical Computer Scientist and Cryptographer at U. Salerno, Italy. Juventino.
Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly.
Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec.
He/him.
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
Assistant research prof at Cornell, interested in bridging responsible and robust algorithm design and practice.
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
full-time ML theory nerd, part-time AI-non enthusiast
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Assistant professor of computer science at ETH Zürich. Interested in Security, Privacy and Machine Learning.
https://floriantramer.com
https://spylab.ai
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There."
https://www.cs.cmu.edu/~conitzer/
Comics by Jorge Cham: Oliver's Great Big Universe, Elinor Wonders Why, ScienceStuff and PHD Comics
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
America’s Finest News Source. A @globaltetrahedron.bsky.social subsidiary.
Get the paper delivered to your door: membership.theonion.com
Join The Onion Newsletter: https://theonion.com/newsletters/
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Professor of Computer Science, @TelAvivUni | @ACM SIGECOM Chair | Research areas: Econ&CS, Algorithmic Game Theory, Market Design
I am an Engineering Fellow at Google DeepMind, creating bridges between AI research and product.
Director, Princeton Language and Intelligence. Professor of CS.
