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 ...
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 ...
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 ...

Unveiling schizophrenia's neural and mental signatures with machine learning

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

What honey bee brain chemistry tells us about human learning

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the ...
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 ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.