All Articles
17535 articles total
Whose fairness? Structural concentration in AI bias research
Analysis of AI bias research indicates structural concentration, with a small set of Western institutions dominating the definitions and benchmarks used globally.
Venus Williams-backed WeWard can now lock your apps until you hit your steps
WeWard is a French app that incentivizes walking by locking other apps until users reach their daily step goals.
First look: Fi Ultra Starlink pet tracker
Fi Ultra is a new pet tracker that utilizes Starlink's direct-to-cell satellite service for connectivity in cellular dead zones.
Decision Protocols in Multi-Agent Large Language Model Conversations
Research introduces the Multi-Agent LLM (MALLM) framework to evaluate decision protocols like voting and consensus for improving task performance in multi-agent AI systems.
Privilege and confidentiality in generative AI workflows
An analysis of data storage and processing modes in generative AI systems and their implications for legal professional privilege and confidentiality.
Full-range Binary Classifier Calibration for Stable Model Updates in Production
A new method for full-range binary classifier calibration is proposed to maintain consistent false-positive rates during stable model updates in production environments.
PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates
PatchOptic is introduced as an optic-inspired interface to manage shared-state LLM workflows using projected reads and verified structured patches.
Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information
The Lean-Quantum library provides a formal infrastructure in Lean 4 for AI-assisted formalization of quantum information theory.
Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets
Research identifies 'statistical adversaries' in vision datasets—natural patterns that behave like backdoor triggers without being maliciously inserted.
aiAuthZ: Off-Host, Identity-Bound Authorization for AI Agents
aiAuthZ is an authorization gateway that prevents AI agents from acting beyond verified user authority using identity-bound tool calls.
Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control
A rendering-aware Bayesian 3D Gaussian Splatting framework is introduced to provide native uncertainty and adaptive complexity control for novel-view synthesis.
Apple to increase spend with Broadcom to produce billions more U.S. chips
Apple is increasing its spending with Broadcom to significantly ramp up the production of chips manufactured in the United States.
How to Survive 3 Years in North Korea as a Foreigner
A personal account detailing the experience of living as a foreigner in North Korea for three years.
Former OpenAI exec Kevin Weil is now on the board of Stoke Space
Former OpenAI executive Kevin Weil has joined the board of Stoke Space, signaling a trend of AI leadership moving into the reusable rocket industry.
The Steam Machine fits my TV, my desk, and my life
A review of the Steam Machine, highlighting its ability to integrate a Steam library across different devices despite some drawbacks.
Slack’s Slackbot can now pull your CRM data, generate charts, and send DocuSigns — all from a chat message.
Slack integrates Salesforce CRM data and Tableau analytics into Slackbot using the Model Context Protocol (MCP), enabling 'multiplayer AI' orchestration.
Learning 4D Geometric Priors for Inference-Efficient World Action Models
MECo-WAM is introduced to improve robotic manipulation by injecting 4D geometric priors into video-action representations without increasing inference cost.
Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy
The SCISE framework is proposed for scalable unsupervised graph clustering, using community-aware sampling and structural entropy to maintain topological integrity.
KAT-Coder-V2.5 Technical Report
KAT-Coder-V2.5 is an agentic coding model trained in executable repositories using an end-to-end post-training framework for autonomous software engineering.
Binocular Gaze Estimation with Single Camera and Single Light Source
A new gaze estimation method is proposed using only one camera and one light source by introducing a 'virtual light source' and virtual glints.