Find out why students trust Math-GPT with their assignments and how it supports learning with step-by-step explanations. This AI math solver builds skills!

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Examines AI-driven threats, the collapse of old security models, and how deterministic boundaries, zero trust, and resilient ...

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some experts projecting AI datacenters to be responsible for over 13% of global ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Why do some melodies feel instantly right, balanced, memorable and satisfying, even if you have never heard them before? New research from the University of Waterloo suggests that more than creativity ...

Computers close computerA device that processes information by following a set of rules called a program. and digital devices work by storing and processing information. If information has been ...

Even entry-level oscilloscopes today have simple math functions such as adding or subtracting two channels. But as [Arthur Pini] notes, more advanced scopes can now even do integration and ...

Abstract: This study explores finite-time adaptive neural tracking control for output-constrained nonlinear systems. An improved command filter was utilized to ...

Abstract: This article presents an approach to ensure the robust forward invariance of safe sets for sampled-data input nonlinear dynamical systems with model uncertainties. We first design a ...