Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Catalysis is key to address today’s most pressing environmental and public health challenges; from pollutant degradation and clean water generation to ...
Silly humans, we don’t like change, even when it’s beneficial and necessary because there’s a chance new inventions might not work as well as old practices. Or, some added e ...
Morning Overview on MSN
How rivals can hijack AI models to steal secrets and build deadly clones?
Rivals do not need to break into a server room to steal an artificial intelligence model. A growing body of peer-reviewed research shows that simple, repeated queries to a publicly available ...
Executives have more trust in the central bank's board than their smaller-bank brethren, according to American Banker's 2026 ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
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, ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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