Tech Xplore

Brain-inspired AI architecture could computing faster and far less power-hungry

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
SiliconANGLE

New memory architecture targets AI inference bottlenecks

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...
techtimes

AMD Patents New DDR5 Memory Architecture to Double Data Rates, Boost Performance

AMD submitted a patent to the World Intellectual Property Organization (WIPO) for a groundbreaking new memory architecture that can significantly enhance the performance of the DDR5 standard. The ...
NPR

There's a shortage of RAM (computer memory). How is this affecting the industry?

There's a RAM shortage at the moment. RAM, as in random access memory. The memory computer keeps immediately at hand, so it can perform tasks quickly. How can that be? Well, as with so much these days ...
Nature

Computing-in-memory architecture for Kolmogorov-Arnold networks based on tunable Gaussian-like memory cells

Inspired by the Kolmogorov-Arnold representation theorem, the Kolmogorov-Arnold networks serve as promising alternatives to multilayer perceptrons. Kolmogorov-Arnold networks utilize a superposition ...
Nature

Analog in-memory computing attention mechanism for fast and energy-efficient large language models

Transformer networks, driven by self-attention, are central to large language models. In generative transformers, self-attention uses cache memory to store token projections, avoiding recomputation at ...
Semiconductor Engineering

Learn The Architecture — Memory System Resource Partitioning And Monitoring (MPAM) Overview

This guide introduces the Memory System Resource Partitioning and Monitoring (MPAM), an optional addition to the Arm architecture to support memory system partitioning. MPAM is documented in the ...