In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

Chip startup Mythic Inc. today announced that it has closed a $125 million funding round led by DCVC. The venture capital firm was joined by NEA, Softbank KR, Honda Motor Co. and a long list of other ...

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...

What is analog computing and how is it used? What is digital computing and how is it used? Why both methods provide promising results, depending on the application. The unveiling of intelligent ...