As AI’s role in business and society continues to grow, the infrastructure that supports these workloads must adapt.

a process that is not well-accounted for in the existing framework. The Florida Tech professor is proposing a new model for episodic memory that divides it into three branches: recollection ...

New research suggests the brain uses a learning rule at inhibitory synapses to block out distractions during memory replay.

It's been long established that our working memory, which allows us to temporarily hold and use information, such as ...

Retrieval-Augmented Generation (RAG) is an innovative technique that enhances information processing by retrieving relevant data to augment the model’s memory. This method is particularly ...

Deep learning and AI systems are steadily on the rise in terms of usage, thanks to their capability of automating complex computational tasks such as image recognition, computer vision, and natural ...

the Transformer model seems to use a gatekeeping process similar to the brain's NMDA receptor [see Figure 1]. This revelation led the researchers to investigate if the Transformer's memory ...

This on-chip memory constraint may be insufficient for leading edge applications. Future CPU applications, such as AI Language Model programming and image processing for 8K UHD video, will require I/O ...