Utilizing reduced-order dynamic math models (DMM) in linear system-level dynamic analyses is a well-known practice that enables extreme computational ...

Controlling light with light is a long-sought goal for computing and communication technologies. Achieving this capability ...

Christine Allen, Ph.D., gets the call when conflict disrupts teams, CEOs want to improve their leadership skills and merging companies need to sync their workplace cultures. Allen is president of ...

A micrometer-sized liquid crystal droplet doped with fluorescent dye functions as a nanosecond optical switch that controls light output using light alone. The resonant cavity design cuts the energy ...

Infectious disease can afflict a population in complex ways. Understanding the varying risks is an equally complex challenge. The Centers for Disease Control and Prevention (CDC) offers a general ...

Project Hail Mary is the kind of ambitious science-fiction blockbuster that remembers something many movies in the genre forget: saving the world can be thrilling, emotional, and genuinely funny at ...

While the whole world is more and more enamored of AI and all its applications, there exist some very real barriers impeding its full success. Take, for example, AI data center infrastructure, which ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

SiC and GaN are clearly making an impact in power RF and power electronics markets, but there remains the persistent challenge of crystal quality, reliability and yield, particularly for very high ...

Government bonds, which typically rise during periods of market stress to cushion equity losses, are now moving in the same direction with stocks as oil markets are going through unprecedented turmoil ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...