Researchers in Italy have recently developed a new smart chip that could greatly reduce ...

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

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

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

Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency calculations. The memory cell enables users to run high-speed computations ...

Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more ...

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 ...

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 ...

Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.