Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...

Ultimately, Shetye's plan is to have a consistent prediction model that will be live, predicting birth periods of solar flares to run side by side with the space center model to tell governments, ...

For countless millions across the globe, commuting to work or school is an everyday routine. But during a pandemic, the ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

In brief, the evidence points to three core results: board independence and female representation are positively associated ...

From a strategic perspective, this achievement validates the foresight of SAIC Group's "433 Strategy," which anticipates that ...

Dan Shipper in Chain of Thought I’m writing a book about the worldview I’ve developed by writing, coding, and living with AI. Last week I published the first piece from it, about the differences ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

Abstract: Accurate modeling of nonlinear capacitance is significant for physics-based compact modeling of GaN high-electric-mobility transistor (HEMT). For conventional methods, physical modeling of ...