CNN’s Pamela Brown on a ‘Scary Time’ for Journalism: ‘Do People Care About the Facts Like I Do?’

On a new episode of Mediaite's Press Club, CNN's Pamela Brown discusses how trust in the media is collapsing, rhetoric is intensifying, and the stakes of reporting feel higher than ever.
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
Le Lézard

Food Allergy Diagnostics are Enhanced by Machine Learning and Deep Learning AI Models

Both machine learning and deep learning AI models show significant improvements over existing clinical criteria of food allergy diagnostics, according to new research being presented at the 2026 AAAAI ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
Mediaite on MSN

Mediaite one sheet: Bad Bunny culture war, Epstein file dump, WSJ drama, and more!

Bad Bunny's halftime performance incites a culture war, Epstein files dumb challenges press rooms and WSJ drama revealed. The ...

This job has become the ultimate case study for why AI won’t replace human workers

Radiology has come up multiple times as an example of a field that’s been impacted by AI without replacing the need for human workers.

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

MAFFormer: A Deep Learning-Based Multiaperture Fusion Algorithm for Near-Field Imaging

Abstract: Near-field radar systems are widely used in military and industrial applications for the detection and high-precision imaging of complex objects. Achieving precise delineation of target ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
IEEE

SC-DRL: A Status Correction-Empowered Deep Reinforcement Learning Algorithm for Dependency-Aware Application Offloading

Abstract: Mobile edge computing (MEC) is emerging as a critical paradigm to meet the growing computational demands of wireless devices. However, edge servers, wireless devices, and service types in ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...