Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

Recent technological advances have opened new exciting possibilities for the development of smart prosthetics, such as artificial limbs, joints or organs that can replace injured, damaged or amputated ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

Experts note that the traditional methods can miss many clinically significant cases of valvular heart disease. The new study ...

Cadence has now launched the ChipStack AI Super Agent, the world’s first agentic workflow for automating chip design and verification. It provides up to 10X productivity improvements for coding ...

Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

A multi-centre study shows an AI stethoscope analysis can detect valvular heart disease with high accuracy, enabling rapid, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...