Self-learning algorithms for different imaging datasets Date: December 7, 2020 Source: German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) Summary: AI-based evaluation of ...

Control algorithms relying on feedback and feedforward methods can achieve impressive performance but come with inherent limitations. Preventative disturbance compensation: Machine learning control ...

The Facebook algorithm, called Seer (for SElf-supERvised), fed on more than a billion images scraped from Instagram, deciding for itself which objects look alike. Images with whiskers, fur, and ...

Whether concerning the effectiveness of batteries in electric vehicles or the reliability of high-speed data communication, unforeseen circumstances can significantly disrupt performance. This is why ...

Using self-learning algorithms, DBL-4pen will bring most of the clinical improvement from DBLG1's closed-loop to insulin pen users, while the overall cost will be significantly lower for the payer.

In the AIMOS project, the algorithms were trained with the help of images of mice. The objective was to assign the image points from the 3D whole-body scan to specific organs, such as stomach ...

TEL AVIV, Israel, Feb. 11, 2020 /PRNewswire/ -- Facio Ltd., released its self-learning algorithm metrics which outperform any other technology that calculates insurance. More than 100 insurance ...