A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Physicians are already deep into artificial intelligence adoption—67% of doctors use AI tools daily in their practice and ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...