AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The application of artificial neural networks within textile engineering has emerged as a transformative force, harnessing advanced computational techniques to predict and refine the complex ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The term “artificial intelligence” was coined seventy years ago, ...

Ambuj Tewari receives funding from the NSF. If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...