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Give Your Coding Agents a Memory You Ownβ9
Give your coding agents persistent memory you controlβboost efficiency, preserve project context across sessions, and overcome stateless AI limitations.
PRO-Step: Step-level Process Reward Optimization for Retrievalβ9
PRO-STEP: A novel framework optimizing step-level retrieval and reasoning in RAG via process reward models and preference optimization, improving accuracy acros...
FailSAE: Interpretable Failure Prediction for Vision-Languageβ9
Discover how sparse autoencoders enable interpretable failure prediction in vision-language models, revealing why errors occur for risk-aware AI decisions.
UN Says AI Safeguards Canβt Wait for Certaintyβ9
UN report urges immediate AI safeguards, warning that waiting for certainty is a risk the world can't afford as global powers seek cooperation on AI safety.
GM Gives OnStar an AI Makeover: Agentic Assistant and New Appβ8
GM is adding an agentic AI assistant to OnStar, debuting in the 2027 Cadillac Lyriq, plus a new unified OnStar mobile app replacing brand apps in 2027.
Did You Steal My Shot? Pioneering Camera Motion Plagiarismβ9
Researchers propose the first camera motion plagiarism detection benchmark for generative videos, using optical flow and vorticity cues to spot stolen cinematog...
Data Centers Are Black Boxes, but California Wants to Change Thatβ9
California bill would force data centers to disclose water and electricity use, exposing the environmental toll of power-hungry facilities on the state's resour...
Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzyβ9
Fuzzy matching breaks down with Damerau-Levenshtein when distinct product IDs like hdc1008 and hdc1080 score equal to typos, risking entity key drift in data la...
Towards Automatic Digital Garment Assembly: A Learning-Basedβ8
Learn-based methods automate digital garment assembly from 2D patterns, predicting sewing operations and panel placement for 3D drape simulation, integrated int...
A Generalized Sparse Fuzzy Clustering Framework with Automatedβ9
Introducing GSFC, a sparse fuzzy clustering framework that autonomously estimates cluster cardinality, prunes redundant clusters, and improves noise resilience ...