In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Geoffrey Hinton, initially restless in academia, became a pioneer in artificial intelligence, overcoming funding limitations and skepticism towards neural networks. His groundbreaking work on deep ...

A Nigerian and PhD student in Applied Mathematics at Mississippi State University, Deborah Okoli, has built an easy-to-understand machine learning system for online markets. In an interview with The ...

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...

Academic skepticism and business frustration have triggered past AI winters. This time, both factors are present. But there ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...