Machine learning reveals hidden landscape of robust information storage

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

New Devices Might Scale the Memory Wall

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...
Frontiers

Computational Models of Memory and Attention: Advancing Mechanistic Understanding of Brain with Artificial Intelligence and Beyond

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

Global Memory Shortage Raises Laptop RAM Prices in 2026

Global memory shortage is lifting laptop RAM prices as AI data centers take more DRAM; learn practical ways to cut upgrade ...
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 ...
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 ...
iMotions

Memory and Visual Attention: 5 Foundational Eye-Tracking Experiments

Explore 5 classic eye-tracking experiments for memory studies. These foundational paradigms reveal how gaze behavior reflects encoding, retrieval, working ...