The ThinkPad P14s Gen 5 (AMD) is the thinnest and lightest mobile workstation from Lenovo — 17.71mm thick and starting at 1.31kg. It’s a true 14-incher, smaller than the ThinkPad P14s Gen 5 (Intel), ...

you can’t go wrong with the Lenovo ThinkPad X1 Carbon Gen 11. It’s packed with powerful components, namely the Intel Core Ultra 5 processor, integrated Intel Graphics, and 16GB of RAM that’s ...

The best memory foam mattresses have a comforting cushioning that eases around the body to create immense pressure relief. That’s just what you’ll get from the Nectar Classic, our number one ...

Google’s Titans ditches Transformer and RNN architectures LLMs typically use the RAG system to replicate memory functions Titans AI is said to memorise and forget context during test time ...

Seven years and seven months ago, Google changed the world with the Transformer architecture, which lies at the heart of generative AI applications like OpenAI’s ChatGPT. Now Google has unveiled ...

The Lenovo ThinkPad X1 Carbon retains its sheen despite initial concerns about its Intel innards and the weird Aura Edition branding. I was pleasantly surprised by its real-world performance and ...

One of the most promising approaches is in-memory computing, which requires the use of photonic memories. Passing light signals through these memories makes it possible to perform operations nearly ...

We thought about withholding half a star for its premium price, but our ThinkPad X1 Carbon Gen 13 comes in $100 under the HP EliteBook 1040 G11 we tested with a lesser screen and half the RAM ...

(Credit: Joseph Maldonado) Another ThinkPad trademark is a world-class ... to its lusty 32GB of RAM. This machine will perform where it counts, for the kinds of tasks at which you can reasonably ...

I think that is quite the spirit to hold on to for this year. ChangXin Memory Technologies (CXMT), a Hefei-based supplier of dynamic random access memory (DRAM), is the major driver behind China's ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...