A new technical paper titled “Leveraging Chiplet-Locality for Efficient Memory Mapping in Multi-Chip Module GPUs” was published by researchers at Electronics and Telecommunications Research Institute ...

Context windows of AI models, which indicate the ability of a model to “remember” information, have increased over time. However, researchers have suggested new ways to increase long-term memory of AI ...

Forgetting is normal, but it can make life difficult. You might forget someone’s name seconds after you meet them, blank on where you’ve put your keys, or miss an important birthday. Memories are ...

Introduction: The shift toward earlier detection in the Alzheimer's disease (AD) continuum underscores the need for more sensitive cognitive outcome assessments (COAs). Traditional COAs may lack ...

The human brain contains about 86 billion neurons. These cells fire electrical signals that help the brain store memories and send information and commands throughout the brain and the nervous system.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...

Spin glasses might turn out to be the most useful useless things ever discovered. These materials — which are typically made of metal, not glass — exhibit puzzling behaviors that captivated a small ...

I Was A Happily Married Mother Of 4. Then I Met A Woman At Pilates. Baby bison appear to have a blast chasing each other at Yellowstone National Park Travelers, beware: Netflix just killed the ability ...

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 ...

Abstract: In a limited preemption real-time system with a cache architecture, scheduling analysis must not only consider the execution time of tasks and the blocking of lower-priority tasks, but also ...

Sequences are a universal abstraction for representing and processing information, making sequence modeling central to modern deep learning. By framing computational tasks as transformations between ...