Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons.

Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED split, CSA2, ...

Explore the early signs and differences of frontotemporal dementia, emphasizing behavior changes over memory loss in affected ...

Model quantization represents model weights, activations, or cache values with fewer bits to reduce memory traffic, storage, energy, and often inference latency. This guide explains the mechanism, ...

Intel tests presented at the OCP APAC Summit 2026 that moving the key-value cache used in large language model (LLM) inference from GPU memory to system DRAM can raise serving throughput and support ...

The memory wall is no longer a theoretical concern. It’s the defining bottleneck in today’s AI, automotive, and data center system-on-chips (SoCs). CPUs operate at GHz frequencies with single-digit ...

Every time you ask ChatGPT a question, your request triggers a data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then ...

Hollywood loves a superpower. Not all involve capes or cosmic rays. Some are cognitive: characters who can remember everything. In movies and on TV, viewers repeatedly encounter those with ...

Your PC contains a number of caches, a collection of frequently-accessed data files, usually temporary, to help speed up future requests. Basically, it improves ...

Whether it’s riding a bike or knitting a sweater, there are some tasks you do without thinking. These are commonly associated with “muscle memory”, the idea your body can remember how to perform ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...