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

A technical paper titled “Ferroelectric Tunnel Junction Memristors for In-Memory Computing Accelerators” was published by researchers at Lund University.

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it’s not perfect. CIM modules can help reduce the cost of computation for AI ...

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.