The hippocampus is a crucial part of the brain that plays a role in memory and learning, especially in remembering directions ...

In-memory computing, which processes data directly within memory units, is emerging as a powerful solution to overcome the ...

Whenever you ride a bike or knit a sweater, you’re using your procedural memory. Two cognitive scientists explain what it is ...

Multicore processing boosts performance and energy efficiency in many coding situations. Bare-metal algorithms further ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

ASML is driven by robust AI-fueled semiconductor equipment demand and a dominant EUV lithography position. Read why I rate ...

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

Artificial intelligence is driving one of the most significant architectural shifts the semiconductor industry has seen in decades. As AI workloads continue to expand away from the cloud to ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

As we age, we all forget things from time to time. But when memory loss begins to interfere with everyday life, it may be a sign of cognitive decline or dementia for many older adults.

Normal dissociative processes aid us in imaginative creativity, but they also promote cognitive error—in criminal justice, ...

At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To ...