Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language ...
A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...
Abstract: Resistive random access memory (RRAM)-based in-memory computing (IMC) architectures are currently receiving widespread attention. Since this computing approach relies on the analog ...
For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...
This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...
Jan 5 (Reuters) - Shares of the world's top memory chip providers rose on Monday as investors bet on further price gains due to a global supply crunch driven by surging demand for ...
Samsung last month unveiled a SOCAMM2 LPDDR5-based memory module designed specifically for AI data center platforms. SOCAMM2 is a new memory form factor that comes with a performance boost. CAMM ...
This year, about 45 percent of the revenues at Big Blue will come from software. But IBM wants to push this up to half of revenues and then onwards from there. IBM also wants to find the modern AI era ...
American cybersecurity company SonicWall urged customers today to patch a high-severity SonicOS SSLVPN security flaw that can allow attackers to crash vulnerable firewalls. Tracked as CVE-2025-40601, ...
TL;DR: Samsung Electronics has raised DDR5 memory prices by up to 60% due to soaring AI-driven demand and flash memory shortages expected in 2026. Price hikes affect 16GB to 128GB modules, impacting ...
This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...