Have you ever witnessed an equity index trade in a peaceful, tight consolidation range for hours, only to violently accelerate into a chaotic, high-velocity sell-off the exact moment a specific, ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Abstract: The online time-variant matrix inversion problem has attracted extensive attention and study, because of its considerable appearance and application in scientific research and industrial ...

The overlap and dynamic variation of measurement areas have long been key factors affecting the accuracy of airborne gamma-ray measurements. Addressing this challenge critically depends on the ...

This artistic rendering shows a thermal analog computing device, which performs computations using excess heat, embedded in a microelectronic system.Jose-Luis Olivares, MIT Scientists in the US have ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Abstract: This letter propose a quasi-Newton based weighted minimum mean square error (WMMSE) algorithm without matrix inverse to solve the weighted sum rate (WSR ...

Implements selected inverse reinforcement learning (IRL) algorithms as part of COMP3710, supervised by Dr Mayank Daswani and Dr Marcus Hutter. My final report is available here and describes the ...

Photonic integrated circuits have been extensively explored for optical processing with the aim of breaking the speed and energy efficiency bottlenecks of digital electronics. However, the ...

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...