Delivering smarter smarts to edge and free-standing devices, tinyML can be part of a broader AI/ML deployment. How tinyML differs from mainstream machine learning. How tinyML is being applied. What ...

Machine learning is reshaping seveal industries, influencing social interactions, and even venturing into the realm of ...

Configurable high-bandwidth RISC-V cores with vector units can be made to directly address challenging applications like machine learning, AI, and other cutting-edge spaces. Semidynamics is a European ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study ...

BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome Prediction Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level ...

Please provide your email address to receive an email when new articles are posted on . Random forest regression models had an area under the curve of 0.8 with 83% accuracy. The researchers called the ...

Pancreatic cancer (PaC) is often diagnosed at advanced stages, resulting in one of the lowest survival rates among patients with cancer. The purpose of this study was to investigate whether machine ...

The market's competitive frontier is rapidly shifting from hardware presence to software intelligence. AI-powered liveness ...

An XQ-58 flies while controlled by machine-learning algorithms, as an F-15E observes. Credit: U.S. Air Force A Kratos XQ-58 Valkyrie has been flown for the first time with a certain tactical problem ...