Morning Overview on MSN
30-nm embedded memory could speed AI chips by cutting data shuttling
Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...
Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...
A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, ...
Laptops powered by the Qualcomm Snapdragon X2 Elite go on sale soon and we've taken two machines for a spin through an array of benchmarks.
NOR flash memory is evolving much in the same way as its cousin, NAND flash: 3D NOR is on the horizon and poised to boost memory densities and dramatically enhance designs. Evolving electronic systems ...
AMD new flagship Ryzen 9 9950X3D2 Dual Edition CPU with a whopping 208MB of cache is launching next month, and it'll arrive with impressive memory support.
Morning Overview on MSN
Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...
New agentic integrated circuit (IC) and physical AI accelerated solutions enable engineers to solve previously impossible chip, system and AI factory challenges Today, Cadence announced an expansion ...
Abstract: Despite the data-rich environment in which memory systems of modern computing platforms operate, many state-of-the-art architectural policies employed in the memory system rely on static, ...
TL;DR: Apple launched the MacBook Neo, a budget-friendly 13-inch laptop with a Liquid Retina display, A18 Pro chip, 8GB RAM, and 256GB storage starting at $599. Its mobile chip limits RAM and USB-C ...
When I was in high school in the 1990s, my physics teacher pulled me aside with a question he couldn’t shake: “How do they get every computer in the world to talk to every other computer?” He’d seen ...
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