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 ...
Tech Xplore

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
IEEE

A Data-Driven Workload Prediction Model for Cloud Computing Using Machine Learning

Abstract: Cloud computing (CC) technology is widely pay-per-use to provide efficient services to the user. Therefore, it is frequently used in business management because it is cheaper, scalable, and ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Variety

‘Magic Tree House’ Animated Series in the Works With Spuree (EXCLUSIVE)

The bestselling franchise is written by Mary Pope Osborne, who will retain full standing as a creative partner with Rideback on board as producer. The deal marks the first major partnership for Spuree ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...