With AI, though, it’s different. The stakes are different – the impact on our society and our personal lives is different. So ...

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 ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...

Large language models (LLMs) have become central to natural language ... which are derived through linear projections of the token’s hidden state. This tensor structure facilitates efficient ...

Jan. 15, 2025 — A computational model explains how place cells in the hippocampus can be recruited to form any kind of episodic memory, even when there's no spatial ... Circulation Problems in ...

the amount of details contained for ready usage in working memory is thought to be relatively limited. There are differing models of the working memory system. Some have argued that it includes ...

Google researchers have developed a new type of Transformer model that gives language models something similar to long-term memory. The system can handle much longer sequences of information than ...

A person’s memory is a sea of images and other sensory impressions, facts and meanings, echoes of past feelings, and ingrained codes for how to behave—a diverse well of information.

GATE exam aspirants can check the GATE exam memory based questions for shift 1 and 2 from here. Know the questions asked in ...

The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

Like DeepSeek, MiniMax has also open-sourced the latest of its AI tech. Amid ongoing debates about the limitations imposed by ...