News

Self-learning algorithms for different imaging datasets Date: December 7, 2020 Source: German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) Summary: AI-based evaluation of ...
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 ...
The algorithm, however, has some limitations including a large memory requirement, limited context awareness within large tissue slides and the fact that it is limited to a single imaging modality.
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 ...
Machine learning algorithms begin with training data and create models that capture some of the patterns and lessons embedded in the data. The AI Impact Series Returns to San Francisco - August 5 ...
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 ...
Ohio State University. "New machine learning algorithm promises advances in computing." ScienceDaily. ScienceDaily, 9 May 2024. <www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm>.