Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...

Short of full blown molecular computers or universal quantum computers or optical computers memristors have the most potential for a hardware change to dramatically boost the power and capabilities of ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions.

From a conceptual standpoint, the idea of embedding processing within main memory makes logical sense since it would eliminate many layers of latency between compute and memory in modern systems and ...

The work offers a rare mechanistic view into how these systems store and process knowledge and could reshape approaches to AI ...

In 1977, John Backus wrote a seminal paper titled, Can Programming Be Liberated From the von Neumann Style? In this paper, Backus defined the implications of what we refer to today as the “memory ...

AI compute startup Tsavorite Scalable Intelligence, founded by Intel veterans in 2023, today announced its composable, ...

GRENOBLE, France, Sept. 8, 2017 — UPMEM, a fabless semiconductor startup company, announces UPMEM Processing In-Memory (PIM), the next generation hardware solution for data intensive applications in ...

To get around the memory wall, the semiconductor start-up is looking to process information inside memory, which could vastly improve bandwidth and latency. The semiconductor industry is up against a ...

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits ...

Part one of this two-part article discussed current trends impacting the evolution of data processing architectures, including the implications of higher transistor budgets afforded by Moore’s Law, ...