Dave Mason Reflects on Research, Memory, and Identity in Between the Clouds and the River

An extended interview explores the historical research and quiet human legacies that shaped Mason’s World War II–rooted ...
eLife

Synaptic Theory of Chunking in Working Memory

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Can We Teach AI to Learn from Mistakes Without Forgetting

Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.
IEEE

Automated Detection of Chilean Mine Waste Storage Facilities Using Advanced Deep Learning Models and Sentinel-2 Satellite Imagery

Abstract: Mine Waste Storage Facilities (MWSFs) in Chile present substantial environmental and safety risks due to their extensive scale and the hazardous nature of their contents. This study proposes ...
Tech Xplore

AI gobbling up memory chips essential to gadget makers

As devices from toys to cars get smarter at the Consumer Electronics Show, gadget makers are grappling with a shortage of ...
IEEE

Scalable Charging Optimization of Battery Energy Storage Systems with Deep Reinforcement Learning

Abstract: This paper presents a scalable data-driven methodology that leverages deep reinforcement learning (DRL) to optimize the charging of battery units within smart energy storage systems (ESS).