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

AI-Driven Threat Intelligence using Graph Neural Networks for Advanced Cybersecurity Defense

Abstract: The continuous growth of cyber threats needs sophisticated and adaptive defensive systems capable of proactively detecting malicious activity across complicated network architectures. This ...
IEEE

Enhanced Student Placement Prediction and Skill Recommendation System using Convolutional Neural Network- Bidirectional Long Short-Term Memory with Attention Networks

Abstract: Predicting student placement results and proposing skills is crucial in education. Current systems frequently show imprecision and inadequately analyse sequential and contextual links among ...