The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

AI in medical imaging market growth is driven by deep learning advancements, personalized medicine, lack of radiologists, and AI integration in telemedicine. It faces challenges like high costs, data ...

What if the earliest signs of skin cancer could be identified sooner — before a dermatology appointment? Researchers at the University of Missouri are exploring how artificial intelligence could help ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.

The 2026 International Production & Processing Expo (IPPE) is about to open its doors, and Shanghai Xiashu Intelligent ...

Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.

Raspberry Pi AI HAT 1 and 2 compared with real FPS numbers and 8 GB RAM on AI HAT 2, so you pick faster hardware for your ...