Ashton Jeanty is being labeled 'special' by virtually all draft analysts and the Bears may have had an obstacle to drafting him removed by an NFL GM.

The decision from Oregon Ducks running backs coach Ra'Shaad Samples to return to Eugene instead of heading back to the NFL and join his hometown Dallas Cowboys ...

At the core of AI’s value in cancer care is its performance in early detection and diagnostic support, where deep learning ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Abstract: Developing deep learning models often involves working with ... 72 models with varying configurations – including different convolutional neural network architectures, initial learning rates ...

Researchers have developed a brain-computer interface that can synthesize natural-sounding speech from brain activity in near real time, restoring a voice to people with severe paralysis. The system ...

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

NHS England believes it is at around this size that networks will best keep the features of traditional community-based general practice. The vision is to offer a balance between effective and ...

CNN has previously reported on the brutal and near-suicidal tactics of North Korean soldiers, who in some cases have detonated grenades rather than be captured by Ukrainian forces, and have ...

Speaking to reporters in the Oval Office last week, the president said that both CNN and MSNBC may be ... shut down operations at the state media network Voice of America.

Milwaukee Bucks star guard Damian Lillard has been diagnosed with deep vein thrombosis (DVT), a form of a blood clot, in his right calf, the team announced Tuesday night. He is likely to be ...

Methods: Our research presents CNN-TumorNet, a convolutional neural network for categorizing MRI images into tumor and non-tumor categories. Although deep learning models exhibit great accuracy, their ...