The new analogue in-memory chip performs computation inside memory, lowering power consumption and latency for AI and data-center workloads.

A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.

Balancing fundamentals, AI, and systems thinking is key to training future-ready engineers In today’s market, engineers need to be able to move fluidly between classical approaches and the ...

NonlinearSystems.jl is a Julia package for solving nonlinear systems of equations and nonlinear least squares. It renovates well-trusted solution algorithms with highly performant and extensible ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

VANCOUVER, BC / ACCESS Newswire / December 10, 2025 / Linear Minerals Corp. (CSE:LINE)(OTCID:LINMF)(WKN:A40 Y3E) ("Linear" or the "Company") is pleased to announce that it has entered into an option ...

In the past, cams and pneumatic cylinders were the mainstays of motion control. While effective, these technologies were not very flexible. Today, engineers have myriad options that are fast, flexible ...

Abstract: The time-dependent nature of real-world problems and the ubiquity of linear equations underscore the fundamental importance of time-dependent systems of linear equations (TDSLE). However, ...

Project 2025: The Plan To Seize Power by Gutting America’s System of Checks and Balances Project 2025—and the budget plans it has spawned—would erode Americans’ personal freedoms and harm the middle ...

Abstract: Recently, recurrent neural networks have been extensively utilized to address a time-dependent system of linear equations (TDSLEs) with inequality systems. Nevertheless, these existing ...