CNET

Brain-Inspired Algorithms Could Dramatically Cut AI Energy Use

Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...
Electrical and Computer Engineering - Carnegie Mellon University

3D Chip Breakthrough to Accelerate AI

CMU, Stanford, Penn, MIT, and SkyWater Technology achieved a milestone with the first monolithic 3D chip built in a U.S. foundry, delivering the densest 3D chip wiring and order-of-magnitude speed ...
IEEE

Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective

Abstract: Large language models (LLMs) have significantly transformed the landscape of artificial intelligence, demonstrating exceptional capabilities in natural language understanding and generation.
IEEE

A Hybrid CAM-SRAM Processing-in-Memory Architecture With Feature Level Sparsity for Attention Mechanisms

Abstract: The attention mechanism has become increasingly popular due to its ability to capture complex dependencies, enabling models like transformers to achieve remarkable performance in large ...
PC Magazine

Framework Computer Delists DDR5 Memory, Citing Threat of RAM Scalping

Framework Computer Delists DDR5 Memory, Citing Threat of RAM Scalping The shortage for RAM is causing Framework Computer to preserve inventory. Meanwhile, Lenovo has been stockpiling its own RAM ...
Bloomberg L.P.

Obesity Drug Access Grows as Novo, Lilly Sell Direct to Employers

Eli Lilly & Co. and Novo Nordisk A/S plan to start selling their popular obesity shots to employers through a new approach that would bypass traditional drug sales channels in an effort to expand ...