The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Abstract: The Tweedie exponential dispersion (TED) process provides a flexible framework for degradation process modeling. To obtain degradation information quickly and realistically, we focus on the ...

Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...

Ajay Sharma is Lead and Copper Rule data management lead for the New England Area at Kleinfelder. He leads a multidisciplinary team providing support for multiple public water suppliers with LCR ...