Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...
Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results