Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...

Turning COâ‚‚ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
pv magazine International

New intrusion detection systems boost protection of SCADA systems against cyber threats

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

FluxMateria Launches Physics-Based Screening Platform. 3.6 Million x Faster Than DFT, No AI

A breakthrough deterministic physics kernel delivers molecular, materials, and reaction screening across three ...
College of Computing - Georgia Tech

Tech Swarms into Athens for Clean, Old-Fashioned Computing

The in-state rivalry between the Yellow Jackets and the Bulldogs usually heats up when Georgia Tech visits the University of ...

Accuracy test for protein language models shines light into AI 'black box'

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...
Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a significant obstacle in transferring research datasets to actual clinical settings.