The Southern Maryland Chronicle on MSN

How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Morning Overview on MSN

Machine learning is turbocharging cheap lithium-ion battery design

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
AZOM

Harnessing AI and Machine Learning for Advanced Materials Testing

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Symmetry Magazine

Tomorrow’s physics test: machine learning

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...
Business Wire

Exactech Publishes New Machine Learning Research That Evaluates Fairness and Accuracy of AI Predictions

GAINESVILLE, Fla.--(BUSINESS WIRE)--Exactech, a developer and producer of innovative implants, instrumentation, and smart technologies for joint replacement surgery, reports a new study 1 that ...
The Victoria Advocate

New SEI Tool Enhances Machine Learning Model Test and Evaluation

PITTSBURGH, Oct. 17, 2024 /PRNewswire/ -- Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making ...
Los Angeles Times

Researchers Develop Test Utilizing Machine Learning to Aid Predicting Immunotherapy Response in Lymphoma Patients

Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient’s likely response to chimeric antigen receptor (CAR) T cell therapy ...
Nanowerk

Machine learning outdesigns evolution to create ultrasensitive gold spiderwebs

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.