This study introduces a newly optimized triangular-finger electrostatic comb-drive actuator designed to significantly enhance force intensity and travel range within a compact footprint.

Achieving both high sensitivity and a wide dynamic range remains a central challenge in microelectromechanical accelerometers.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

RIT alumnus Adam Giammarese received the Edward N. Lorenz Early Career Award for his Ph.D. research in chaos theory and ...

Harry O'Mara, Luis Enrique Rosas Hernandaz, Sachini Withanage, Hemanta Pradhan and James Mangum share what they have been able to accomplish with the support of the Hughes family in the following ...

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...

The report warns many economic models are failing to capture extreme weather events and rising uncertainty likely to dominate ...

Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

The working paper, published on February 2 by the Bank for International Settlements, outlines a non-linear new Keynesian ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...