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Steven Strogatz    @stevenstrogatz   ·   9/14/2021
Our latest research (with ⁦@Maxematician⁩ and Rennie Mirollo) was published in CHAOS today. We studied a model of identical particles moving on a sphere and used group theory and hyperbolic geometry to explain its amazingly low-dimensional dynamics. https://t.co/HXKPZv8lH2
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Sergio Perez    @sergiopprz   ·   6/1/2021
Our research in fluid dynamics and image processing is now published at the @royalsociety Open Science! 🌊💻 https://t.co/jLuSyHPHdl
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John Carlos Baez    @johncarlosbaez   ·   7/23/2021
Does anyone have access to 𝘎𝘦𝘰𝘮𝘦𝘵𝘳𝘺, 𝘗𝘩𝘺𝘴𝘪𝘤𝘴, 𝘢𝘯𝘥 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 by Robert Hermann? It seems to explain how statistical mechanics is related to contact geometry, but I can't find it anywhere! There's nothing more enticing than an inaccessible book.
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CUP Linguistics    @CambUP_LangLing   ·   8/19/2021
Today's coffee break reading is a recently published article from @mdooly and @mvlaranjeira in Language Teaching which reflects on the ways research on #virtualexchange has had an impact on language education practices https://t.co/KOLptd5ZWt #AILA21
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Facebook AI    @facebookai   ·   7/7/2021
We’re sharing a new theory that attempts to explain one of the mysteries of #deeplearning: why so-called non-contrastive self-supervised learning often works well. Learn more: https://t.co/mVgxbBUcnB
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Dominique Beaini    @dom_beaini   ·   6/15/2021
Join my talk "Unlocking #DeepLearning for Graphs" at Cambridge University NOW, where I will explain how our research team at @valence_ai is dedicated to improving graph neural networks with our PNA, DGN, and SAN models. https://t.co/iizPKpOdwn #MachineLearning #datascience
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Jonathan Frankle    @jefrankle   ·   5/18/2021
NEW WORKSHOP: Sparsity in Neural Networks: Advancing Understanding and Practice (July 8-9, 2021). This workshop will bring together members of the many communities working on neural network sparsity to share their perspectives and the latest cutting-edge research (Deadline: 6/15)
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Gabriel Peyré    @gabrielpeyre   ·   9/8/2021
Optimal transport flows define particles evolutions which are classical gradient flows over the particles positions. Pairwise interaction potentials are ubiquitous in physics, biology and chemistry. Corresponds to non-local PDEs over the densities.
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Niels Rogge    @NielsRogge   ·   9/13/2021
Super proud of this: the authors of ReasonBERT (some of who @GoogleAI) used my PyTorch implementation of TAPAS in their research :) this was really my goal of contributing a model to @huggingface: to make AI models easily accessible, and to foster research in the TableQA area! 🙌 https://t.co/jsIswM8x1Y
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Pierre-Yves Oudeyer    @pyoudeyer   ·   9/10/2021
Super happy to announce I joined Microsoft Research Montreal for a 10 months research visit! I'll explore new projects at the frontiers of #AI #DeepRL #language in an amazing team and ecosystem! 😀🚀 Thanks @MSFTResearch @susan_dumais @harmvanseijen and all for the opportunity🙏
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Yuandong Tian    @tydsh   ·   9/17/2021
FAIR MPK Reinforcement Learning (RL) team has full-time research scientist opening. We study fundamental research problem in ML/RL-guided optimization and its real-world applications. Look for candidates in RL, optimization, and representation learning. POC: yuandong@fb.com
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Sebastien Bubeck    @SebastienBubeck   ·   9/13/2021
Certainly I would personally love to see Theory conferences adopt a version of this. Currently, simplified proofs, or worked examples of a general theory, are not really valued, yet they can be tremendously important to maintain & pass on knowledge. Maybe blogposts can help here?
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Ross Wightman    @wightmanr   ·   6/8/2021
Added some weights for ResMLP-24 model to timm. 79.2 top-1. Also the first PyTorch XLA + TPU VM trained weights I've added to timm 🥳 Compute made avail via TPU Research Cloud.
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François Chollet    @fchollet   ·   9/9/2021
Idle observation -- TikTok virality dynamics open the door to entirely new categories of psychological magic tricks.
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Max Welling    @wellingmax   ·   7/20/2021
I am super excited to announce that I will be joining Microsoft Research (MSR) as a distinguished scientist on September 1, 2021.
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  Relevant People  

Steven Strogatz
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time.
Steven Strogatz 52.9

Sergio Perez
AI Applications Engineer at @graphcoreai. PhD at @imperialcollege. Before @amazon and @La_UPM. Tweeting about Software, AI and Maths (views my own). He/him.
Sergio Perez 13.5

Dominique Beaini
Machine learning research scientist at @valence_ai in @MilaMontreal, interested in graph neural networks, chemical-physics, robotics, biology and philosophy
Dominique Beaini 19.2

CUP Linguistics
Offering the latest in #language & #linguistics research from Cambridge University Press' books & journals (@CambridgeUP)
CUP Linguistics 43.2

John Carlos Baez
I'm a mathematical physicist interested in saving the planet.
John Carlos Baez 45.3

Facebook AI
Facebook AI focuses on bringing the world together by advancing AI, powering meaningful and safe experiences, and conducting open research.
Facebook AI 53.8

Partnership on AI
Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform about AI.
Partnership on AI 46.5




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