The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...

AI-assisted signal debugging has broad impact across many domains.

An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning-based threat detection ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved performance in spotting anomalies.

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldsten & Fox PLLC discuss guidance and decisions on securing patents ...