A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

It's almost become expected that many space telescopes and probes can have "extended missions." Both Voyagers are still sending data back 40+ years after their five-year primary mission ended. But ...

Powered by its Willow chip, Google’s Quantum Echoes algorithm uses out-of-time-order correlators to map molecular structures ...

The European Space Agency's Euclid mission—designed to map the geometry of the dark universe with unprecedented ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, Euclidean surfaces. From 3D ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...

A contactless optical-tracking registration method for robot-assisted brain surgery offers comparable accuracy to traditional methods with improved efficiency.