Science

New research explores how the ability of AI-powered web agents to solve complex tasks diminishes as the amount of information they must process increases.

A new software platform unlocks real-time computational pathology analysis on standard hardware, democratizing access to AI-powered diagnostics.

Researchers have developed a realistic simulation environment and dataset to rigorously evaluate algorithms that enable robots to efficiently pack three-dimensional spaces.

Researchers have developed a novel approach to managing large, diverse teams of robots operating within complex and constrained environments.

A new wave of AI-powered web agents is automating the process of gathering legal information, potentially bridging the access-to-justice gap for underserved populations.

A new perspective on ethical reinforcement learning proposes moving beyond rigid rules and reward functions to foster robust, adaptable moral dispositions in artificial agents.

New research explores how to build personal AI assistants that respect individual preferences by reasoning about privacy implications.

New research reveals a surprising tension between student satisfaction and long-term learning when using AI-powered programming assistance.

A novel framework, Polynomiogram, bridges the gap between complex mathematical analysis and striking visual aesthetics.

A new model extends the Segment Anything capabilities by directly interpreting natural language instructions, bridging the gap between vision and language for precise image segmentation.