Nanopore signals and machine learning unlock new molecular analysis tool

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
Semiconductor Engineering

New Frontiers In Fault Detection And Classification

Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could ...
mccormick.northwestern.edu

New Machine Learning Framework Enables Data-Efficient Design of Advanced Metamaterials

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Semiconductor Engineering

Using Automatic Defect Classification To Reduce The Escape Rate Of Defects

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.
Case Western Reserve University

Accelerating AI, machine learning in research

With a $5.1 million grant from the National Science Foundation (NSF), Case Western Reserve University and partners at the University of Cincinnati (UC) and Ohio Supercomputer Center (OSC) will work to ...

Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...