AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
College of Computing - Georgia Tech

Department of Energy Award to Power Nuclear Research with Machine Learning

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Silicon Semiconductor

Keysight unveils Machine Learning Toolkit

Keysight Technologies has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution reduces model development and extraction time from weeks ...

How Generative AI Is Transforming Fraud Detection in Digital Banking

Generative AI is now at the centre of fraud strategy in digital banking. What began as an efficiency tool has quickly become a frontline defence, as banks are forced to confront a new reality: fraud ...
IEEE

Self-Attentive Quantile GAN With Causally Grounded Machine Learning for Vocal Biomarker Discovery in Parkinson’s Disease Detection

Abstract: Parkinson’s disease (PD) detection through voice analysis faces two fundamental challenges: traditional machine learning methods lack clinical interpretability due to their correlational ...
Electronic Design

Protective Devices and GaN Modules Help Power Data Centers

Members can download this article in PDF format. The proliferation of chatbots and other applications powered by artificial intelligence (AI) and machine learning (ML) is driving explosive growth in ...
IEEE

Reviving Legacy Seismic Data via Machine Learning Technique—Part 1: Expanding 3-D Seismic Survey Coverage With Gated Convolution GAN

Abstract: We propose a novel machine learning-based seismic volume reconstruction method that gradually extrapolates a seed volume by referring to line data external to the seed volume. The proposed ...
C&EN

High-Throughput Screening of II-Type/Z-Type Photocatalytic g-GaN Heterojunctions Based on Machine Learning and Density Functional Theory for Photocatalytic Splitting of Water

Institute of Optoelectronics Technology, China Jiliang University, Hangzhou 310018, China ...
GitHub

climate-machine-learning-gan-vae-data-analysis

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