Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

From 10-Minute Homework Rule To AI Teachers: How Learning Is Changing In Schools

Innovations such as Robotics, 3D printing, and other tech-based tools are being introduced to build decision-making, ...
Tech Xplore

Mice and AI neural networks reveal similar patterns when learning to cooperate

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

FICO’s answer to AI risk: A foundation model that scores every output for accuracy and compliance

FICO established its own ranking algorithm to ensure its proprietary finance-specific AI models do not hallucinate.
IEEE

Automatic Object Detection-and-Counting Method Using Single-Shot Self-Supervised Learning and 3D Sensing in Resource-Limited Environments

Abstract: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...
Morning Overview on MSN

Autonomous AI Agents Build and Deploy Code Independently

In recent years, the development of autonomous AI agents capable of independently building and deploying code has gained ...
IEEE

Accelerated Self-Supervised Multi-Illumination Color Constancy With Hybrid Knowledge Distillation

Abstract: Color constancy, the human visual system’s ability to perceive consistent colors under varying illumination conditions, is crucial for accurate color perception. Recently, deep learning ...