Modern LLMs, like OpenAI’s o1 or DeepSeek’s R1, improve their reasoning by generating longer chains of thought. However, this ...
The Brighterside of News on MSN
New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), letting large language models reason deeper while compressing the KV cache up to 8× without ...
Current AMD Ryzen desktop processors that use stacked 3D V-Cache top out at 128 MB of L3 from a single die. However, a recent post from ...
Overview: Performance issues on gaming consoles can be frustrating, especially when they interrupt immersive gameplay. Even advanced consoles like the Xbox ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
If your Android smartphone has been feeling sluggish lately, you can try clearing its cache and changing the animation speed ...
New rumors suggest that AMD is preparing a much more aggressive cache configuration for its upcoming Zen 6 desktop processors, directly targeting Intel’s next-generation Nova Lake platform.
These instances deliver up to 15% better price performance, 20% higher performance and 2.5 times more memory throughput ...
At the 2025 MRAM Forum major foundries talked about automotive applications, magnetic field sensitivity and MRAM ...
Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.
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