Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...

LAWRENCE — A new study from the University of Kansas explores the role of working memory in word problem-solving for students with and without math difficulties. Researchers found that using ...

TOKYO -- With the speed of supercomputers outpacing the amount of memory they are equipped with, the University of Tsukuba has incorporated energy-saving memory into a new supercomputer to make the ...

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. “A large language model ...

Memory-enabled artificial intelligence agents that can store and recall user data for more intelligent and personalized decision-making are vulnerable to memory injection attacks that can manipulate ...

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, ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

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 | ...

A new study from the University of Kansas explores the role of working memory in word problem-solving for students with and without math difficulties. Researchers found that using interventions to ...

What if the future of artificial intelligence is being held back not by a lack of computational power, but by a far more mundane problem: memory? While AI’s computational capabilities have skyrocketed ...