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

In an effort to help used-car managers complete the floor-planning process as quickly as possible, NextGear Capital recently tapped Violin Memory, a provider of persistent memory-based storage ...

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 ...

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

Content Addressable Memory (CAM) architectures provide a powerful approach to high-speed data searches by comparing search data against an entire memory in parallel, rather than relying on sequential ...

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.

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

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 ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.