Abstract: This article quantitatively analyzes the limitations to energy efficiency and compute density for in-memory computing (IMC) based on today’s embedded non-volatile memory (eNVM) technology ...

Zuckerberg and Jensen Huang unveil massive AI project scaling millions of GPUs and Arm CPUs across Meta’s global data centers ...

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

AI momentum continues, yet evolving memory supply conditions could shape how smoothly that growth translates into earnings and equity returns.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...

The AI gold rush has sent demand—and prices—for computer memory shooting skyward. Here’s how to size your PC’s RAM the smart way for real-world use, whether you're scoping out a new system or just ...

Nvidia teases a surprise chip for GTC 2026. Here’s what we know about Rubin architecture, HBM4 memory, and next-gen AI hardware.

RISC-V’s expanding role in AI is not a rejection of incumbent architectures, which continue to deliver performance and ...

US equity valuations remain elevated, and concentration risk is now at a decade-high, driven by a narrow group of mega-cap technology stocks. Read more here.