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15889 articles total
Don't stop early: Case-folding source code at memory speed
A technical discussion on implementing case-folding source code at memory speed, focusing on low-level optimization.
Waymo Waymo CEO explains why Tesla's camera-only self-driving falls short
Waymo's CEO discusses the technical deficiencies of Tesla's camera-only approach to autonomous driving compared to a multi-sensor approach.
SpaceX doubles revenue on Anthropic and Google compute deals, Starlink growth
SpaceX reports significant revenue growth driven by compute deals with Anthropic and Google, alongside Starlink's expansion.
Android app developers may be unwittingly sharing their users’ location data with advertisers
The EFF warns Android developers that third-party libraries may be unintentionally leaking user location data to advertisers.
EA is now a private company
Electronic Arts (EA) has officially transitioned to a private company following a $55 billion leveraged buyout.
Texas halts data center connections to power grid amid overwhelming demand
Texas has paused data center grid connections due to overwhelming power demand, despite the state's push to be an AI hub.
Monotone and Separable Set Functions: Characterizations and Neural Models
Researchers introduce MASNET, a neural model designed to preserve partial orders on sets for set containment problems.
Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers
A game-theoretic framework is proposed to protect users from dishonest LLM providers who might swap models or inflate tokens.
Robust Bidirectional Associative Memory via Regularization Inspired by the Subspace Rotation Algorithm
A new gradient-free training algorithm, B-SRA, is proposed to improve the robustness of Bidirectional Associative Memory (BAM) against noise and attacks.
AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance
AREA3D is introduced as an active reconstruction agent that uses feed-forward 3D perception and vision-language guidance for scene geometry.
Open-weight AI models are catching up to the frontier. The safety gap remains.
A report indicates that open-weight AI models like GLM-5.2 are nearing frontier capabilities but still lack critical safety mitigations.
Anthropic signs $10B deal with AI cloud startup Volta
Anthropic has entered into a reported $10 billion cloud partnership deal with AI cloud startup Volta.
StaQ: a Finite Memory Approach to Discrete Action Policy Mirror Descent
Researchers propose StaQ, a finite memory approach to Discrete Action Policy Mirror Descent in RL to reduce memory requirements while maintaining performance.
Towards White-Box Deep Wireless Sensing
RF-CRATE is introduced as a white-box deep wireless sensing model that uses complex-valued transformers for better interpretability and reliability.
Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow
A patch-based 3D Variational Autoencoder is proposed for the super-resolution of turbulent channel flow, outperforming traditional interpolation methods.
RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment
RePaCA is a new static automated patch correctness assessment technique using reasoning LLMs and RL to identify overfitting patches in software repair.
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
Researchers use LLMs to analyze social biases against homelessness, releasing a multi-domain PEH bias corpus and an audit protocol.
Adaptive Policy Backbone via Shared Network
The Adaptive Policy Backbone (APB) method is proposed for meta-transfer RL to improve sample efficiency and adaptation to out-of-distribution tasks.
Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Fast Feature Field (F3) is a new predictive representation for event-based cameras that achieves state-of-the-art performance in robotic vision tasks.
Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation
FetalMind is a medical AI system for fetal ultrasound interpretation that utilizes a large-scale report corpus and an epistemic-aware design.