Could we use CTAD to simplify the use of WRL’s Callback function?
devblogs.microsoft.com·5h
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How AI is reshaping the art and science of cooking
theglobeandmail.com·8h
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CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
machinelearning.apple.com·1d
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Has Google Solved Two of AI's Oldest Problems?
📚libraries
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10 new retail tech and AI trends that will define 2026
fastcompany.com·5h
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When will browser agents do real work?
infoworld.com·11h
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Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
arxiv.org·15h
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Chatting with your cells: Natural-language AI for single-cell data analysis
phys.org·2d
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Google DeepMind is using Gemini to train agents inside Goat Simulator 3
technologyreview.com·20h
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Decentralized Knowledge Graph Augmentation for Semantic Web3 Discovery
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Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
arxiv.org·3d
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FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
arxiv.org·3d
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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
arxiv.org·2d
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DGTN: Graph-Enhanced Transformer with Diffusive Attention Gating Mechanism for Enzyme DDG Prediction
arxiv.org·3d
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Andrej Karpathy on LLM cognitive deficits
lesswrong.com·2d
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Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
arxiv.org·1d
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