Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

‘Artificial stupidity’ made AI trading bots spontaneously form cartels when left unsupervised, Wharton study reveals

AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how ...
IEEE

Unsupervised Continual Learning Using Cross-Level Discrimination and Evidential Pseudo Out-of-Distribution Detection Along With Gradient Projected Hard Attention

Abstract: Catastrophic forgetting is a prominent challenge in machine learning, where models forget previously learned knowledge when exposed to new information. Supervised Continual Learning (SCL) ...
IEEE

Introduction to clustering unsupervised machine learning algorithms applied to power quality disturbances

Abstract: Unsupervised machine learning algorithms, such as clustering and anomaly detection, work by identifying patterns and anomalies in data without the need for labeled training data. These ...