Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Google also launched Flow, an online AI filmmaking tool that combines Veo 3 with the company's Imagen 4 image generator and ...

Users of AI assistants and neural networks in Russia are increasingly becoming victims of fraudsters, their number of hacks ...

Artificial Intelligence (AI) is the technology that enables machines to carry out tasks like learning, reasoning, problem-solving, and decision-making that normally need human intelligence. In essence ...

Building on the principles of arbitrage pricing theory (APT), this study introduces a dynamic neural network model aimed at minimizing investment risk, optimizing portfolio allocation within ...

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

A physics-based theory sheds new light on how AI's Attention mechanism works—and why it fails with hallucinations and bias.

Abstract: Inventors of the original artificial neural networks (ANNs) derived their inspiration from biology [1]. However, today, most ANNs, such as backpropagation-based convolutional deeplearning ...

Three recent studies by data-engineering specialist Swaminathan Sethuraman map out an efficiency agenda for the next ...