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

The new chip is a fully integrated analogue accelerator that can solve both linear and non-linear systems of equations. Made ...

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 ...

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 ...

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.

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

For decades, compute architectures have relied on dynamic random-access memory (DRAM) as their main memory, providing temporary storage from which processing units retrieve data and program code. The ...

Scalable memory array developer Violin Memory this week unveiled a new multiterabyte capacity solid-state cache memory system aimed at increasing the storage performance of enterprise applications.