New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

According to Franco Nori, "Machine learning can play a pivotal role in addressing large-scale quantum computation and optimization challenges.

Once the machine learning model predicts that the error value in a quantum circuit exceeds a predetermined threshold, WiMi's MLQES system triggers a circuit segmentation mechanism.

PURPOSERecent advances in machine learning have led to the development of classifiers that predict molecular subtypes of acute lymphoblastic leukemia (ALL) using RNA-sequencing (RNA-seq) data.

Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems.