Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine learning, officially designating the 49B AI/ML Officer as an area of ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

AI accelerators are gaining traction in high-performance electronics design, driven by the need for efficiency and ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Next Generation Non Volatile Memory Market is anticipated to be USD 37.7 billion by 2033. It is estimated to record a steady ...

Explore how the Apple M4 chip desktop enhances iMac performance, creative workflows, and future Apple silicon innovations ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...