UC Berkeley School of Information

Data Science Master’s Project Informs LGBTQ+ Young Adults about Legislation Affecting Rights

Master of Information and Data Science (MIDS) alums Beth McBride, Ishani Cheshire, Indri Adisoemarta, Chase Martin, and Ambro ...
GovCon Wire

Why Multi-Level Security Is Critical in the Air Force’s Push for Battlefield AI

The Air Force is accelerating AI deployment at the tactical edge to accelerate threat detection and response, but data and security challenges remain In its AI-First Strategy, DAF is prioritizing ...
IEEE

Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms

Abstract: Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. The treatment for epilepsy is influenced by the types of seizures. Therefore, developing a reliable, ...

Huisheng Liu Examines Multi-Cloud MLOps as a Path to More Reliable Commercial AI Services

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
IEEE

Sparse Bayesian Extreme Learning Machine for Multi-classification

Abstract: Extreme learning machine (ELM) has become a popular topic in machine learning in recent years. ELM is a new kind of single-hidden layer feedforward neural network with an extremely low ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
InfoWorld

Using AI-powered email classification to accelerate help desk responses

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...