UC nurses are at the forefront of efforts to figure out how to best use AI in health care so they can spend more time with ...

In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate ...

A layered transistor design combines light detection optical memory and neuromorphic processing in one unit offering compact ...

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

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

From gaming to AI, GPUs have revolutionized computing. Discover how these powerful processors work, their key applications ...

Microsoft’s new BitNet b1.58 model significantly reduces memory and energy requirements while matching the capabilities of ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic mechanisms behind memory and learning processes remain a mystery.

Microsoft researchers have developed — and released — a hyper-efficient AI model that can run on CPUs, including Apple's M2.

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these ...

This valuable investigation provides new and solid evidence for a specific cognitive deficit in cerebellar degeneration patients. The authors use three tasks that modulate complexity and error ...

Set up a memory database with MCP servers in under 15 minutes. Learn how to optimize data retrieval with semantic search and ...