Learn how AI medical discovery is bridging the gap between lab research and bedside treatments, resulting in faster and more ...

Doctors and patients are gaining an edge in the fight against Alzheimer’s disease by catching early warning signs with new screening methods.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Researchers develop an interpretable hybrid feature selection model to overcome the "curse of dimensionality"in genomic ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...

Abstract: In power distribution network designs, a large number of decoupling capacitors (decaps) may be needed to satisfy target impedance limits. Many algorithms have been proposed and implemented ...

Abstract: The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to ...

The research, published on April 24th, 2026, in Nature Microbiology, describes how the new tool, called TRAnsmision ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

The QT interval on an ECG is a vital marker of heart health, but measuring and interpreting it correctly can be tricky. Advances in formulas, regulatory guidance, and AI-powered tools are helping ...