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 ...

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 ...

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 ...

Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...

According to a new comprehensive report from The Insight Partners, the global electronic health record market is observing ...

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 ...

Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of energy per mass or volume of the battery.

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

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 ...

ANDRO Computational Solutions in Rome has been awarded two utility patents in wireless cyber, command/control and ...