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 ...

Researchers at the Politecnico di Milano have developed an analog in-memory computing chip that performs computations ...

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

A technical paper titled “Analog Foundation Models” was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center. Find the technical paper here. published ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

A new technical paper titled “Fast and robust analog in-memory deep neural network training” was published by researchers at IBM Research. “Analog in-memory computing is a promising future technology ...

NEW YORK/TOKYO (Reuters) - Investors looking to bet on the global chip industry may want to put their money in fast-growing analog chips, with the downtrodden computer memory market poised for only a ...

AI chip startup EnCharge AI has closed a $100 million Series B funding round. The oversubscribed round was led by Tiger Global and saw participation from Samsung Ventures and HH-CTBC. It brings the ...

As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient. As artificial intelligence (AI) continues to ...