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#ICLR2026# is this week! Join Subquadratic during the conference to chat about research, the future of the industry, and the underlying assumptions of AI that need to be challenged. Drinks on us 🍻
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Axiom is at ICLR VerifAI workshop in Rio, Brazil! Hit up @nautsimon_ and @manooshree to chat about how it's like working with us! We have swags too.
Google presents a new Transformer alternative at #ICLR2026#! Join Nino Scherrer & Yanick Schimpf at the Google booth (#411#) at 10AM to learn about MesaNet, proposing a new linear sequence layer that optimally learns in-context given a fixed memory budget.
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Attending the Women in Machine Learning (WiML) Social at #ICLR2026#? Stop by 203C from 12PM - 3PM to connect with the community and the Google Research team! #WiML# #GoogleResearch#
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Over several years, we’ve contributed #research# to @ICLR exploring how #machinelearning# models are trained, interpreted, and applied. This year’s papers span #multimodallearning#, #diffusion#, interpretability, and theory, with open #code# and demos. 🔗
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Congratulations to the authors of "Continuous Control with Deep Reinforcement Learning", recipient of the #ICLR2026# Test of Time Award. This work remains a foundational contribution to robotics. Read the paper: @GoogleDeepMind
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A defining month for Sony AI: Project #Ace# reached the cover of @Nature, a new framework on #AI# companionship, a full slate at #ICLR# 2026, and a feature on the future of #chip# design. 🔗Read the April Month in Review:
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Learn how Isomorphic Labs' Drug Design Engine uses AI to help solve disease with Anton Osokin from @IsomorphicLabs! Stop by the Google booth (#411#) at 10AM to learn more. #ICLR2026# #IsomorphicLabs# @GoogleDeepMind
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Can reasoning lead to honesty in AI? 🤔 Join Alicia Machado from @GoogleDeepMind as she demonstrates that models are less likely to recommend deceptive behavior when allowed to think first. Try modifying inference parameters at our booth at 3PM! #ICLR2026#
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Join Krzysztof Choromanski at 12PM today in the Google booth (#411#) to discuss breakthrough research on 3D reasoning for foundational robotics models by the Google DeepMind Robotics Vision Team! We'll explore efficient Transformer models & 3D-aware attention mechanisms. #ICLR2026#
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