If schools want to prepare young people for a future shaped by technology, they must act now to ensure that computer science is not a privilege for a few but a foundation for all. The time to begin is ...

Abstract: Deep learning (DL) algorithms are swiftly finding applications in computer vision and natural language processing. Nonetheless, they can also be employed for creating convincing deepfakes, ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Abstract: This research paper compares deep learning models through the imaging tasks of medical imaging. Modern-age architectures such as CNNs i.e., AlexNet, VGG, Resnet, Densensnet, and U-Net are ...

Senators stressed the need for federal solutions to address a mental health crisis tied to social media and technology use ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.