Morning Overview on MSN

Physics-trained AI models speed engineering design and simulations

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
Frontiers

The bio-digital nexus: Exploring the fusion of biological neural networks and artificial intelligence

For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...
Deixis Online

Getting physical

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...

Intel's new AI compression tech can significantly shrink game texture sizes and reduce VRAM use

TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
IEEE

Research on Neural Network Hyper-Parameters Optimization Based on Firefly Algorithm

Abstract: Neural networks have demonstrated numerous significant advantages, including the ability to learn quickly, convergence, self-learning, and adaptability. Specifically, neural networks can ...
Tech Xplore

AI system learns to prevent warehouse robot traffic jams, boosting throughput 25%

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small ...
IEEE

Solving Human–Robot Collaborative Circular Disassembly Line Balancing Problem via Graph Neural Network-Enhanced Proximal Policy Optimization Algorithm

Abstract: Industry 5.0 promotes the transformation of manufacturing toward flexibility, personalization, and sustainability. As a critical component of closed-loop manufacturing systems, disassembly ...