Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...

Rep. Ariel Defay, R-Kaysville, echoed that sentiment. She said her own child is approaching driving age and is facing the ...

Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao ...

A Norman mother convicted in a near‑deadly drunk‑driving crash is set to leave prison after roughly 70 days and move into a GPS monitoring program, the Oklahoma Department of Corrections told News 4.

Tesla filed new comments with the California Public Utilities Commission that amount to a quiet admission: its “Robotaxi” service ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

The Crypto Asset Reporting Framework sets out how crypto-related transactions will be collected, reported and shared with ...