InfoQ

Using Machine Learning on Microcontrollers: Decreasing Memory and CPU Usage to Save Power and Cost

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Electronic Design

Memory-Centric Compute Speeds Searches for Machine-Learning Apps

Compute architectures are changing radically from bringing in memory using CXL on the PCI Express interface to integrating machine-learning and artificial-intelligence (ML/AI) accelerators with ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Semiconductor Engineering

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
EurekAlert!

Brain-inspired machine memory intelligence: a new hope for AI development

A recent paper published in Engineering titled “Machine Memory Intelligence: Inspired by Human Memory Mechanisms” explores a novel approach to AIby drawing inspiration from the human brain’s memory ...