A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of ...

A new study from the University of Kansas explores the role of working memory in word problem-solving for students with and ...

Memory can be broken down into multiple types, including long-term memory, short-term memory, explicit and implicit memory, ...

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, ...

In her new book, “On Muscle,” Bonnie Tsui investigates the other stuff our thews remember—like how to grow when you exercise.

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was ...

This perspective is particularly relevant in understanding the recent emergence of reasoning models (RMs) within artificial ...

Granular factoring overcomes the challenge of size and heterogeneity in neurological data science. Brain data is sourced from ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

A new study offers insight into what is happening in our brains when our working memory must use its limited resources to remember multiple things.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

The field of two-dimensional (2D) materials is rapidly developing, driven by ongoing demands in the semiconductor industry to produce efficient, scalable, ...