Complex chips need coherent and non-coherent sub-NoCs to ensure efficient data paths. Correct hierarchy is essential.

Samsung Electronics and SK Hynix are reportedly shifting to multi-year memory supply agreements, marking a structural change in how the global memory industry prices, allocates, and plans capacity in ...

Micron, Samsung and SK Hynix, the world's top memory makers, all made headlines this week. Micron's stock fell after it blew away earnings expectations and raised spending expectations, while Samsung ...

Samsung Electronics Co. is considering a shift toward multi-year contracts for memory chips, a much longer timeframe than is typical that may help stabilize supply and ease concerns about a shortage ...

Abstract: In this paper we analyze the Multi-Level Cell (MLC) capability in Phase-Change Memory 4kb arrays based on Ge-rich GeSbTe alloys featuring high temperature data retention. Two Ge-rich alloys ...

Researchers found that a majority of studies on coastal sea levels underestimated how high water levels are, and hundreds of millions of people are closer to peril than previously thought. By Sachi ...

The new MacBook Air and MacBook Pro models are notably more expensive than previous generations. Apple didn't specify a reason for the increases, but it's previously talked about the global memory ...

TL;DR: Gartner forecasts a 10.4% decline in global PC shipments in 2026 due to soaring DRAM and SSD prices, which will increase PC costs by 17%. Rising memory costs could eliminate entry-level PCs ...

A global shortage in memory chips sparked by artificial intelligence has dealt a “tsunami-like shock” to the smartphone industry, pushing prices to all-time highs, according to a new report. A ...

In the current AI landscape, we’ve become accustomed to the ‘ephemeral agent’—a brilliant but forgetful assistant that restarts its cognitive clock with every new chat session. While LLMs have become ...

Abstract: In-memory computing (IMC) architecture has emerged as a highly promising approach, enhancing the energy efficiency of multiply-and-accumulate (MAC) operations in deep neural networks (DNNs) ...