Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Returning to academia was also personal. Introduced to Bhaktee Dongaonkar by Kavita Vemuri, he began a PhD in Cognitive ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.

Food System Innovations has launched an open-source Food Intelligence Lab to use AI to create better-tasting alternative ...

Evolution is responsible for Earth’s stunningly diverse spectrum of life, but that wasn’t always the case. In fact, the earliest eras of living organisms were comparatively bo ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Juneteenth is a day to celebrate with ribs and beer, as well as a day to look toward academic achievement, to include ...

Nearly 8 in 10 Americans surveyed say the country is innovating in the wrong areas, while 86% say the most meaningful ...

Abstract: An automated, robust, noncontact sleep posture recognition technique is proposed in this letter, which uses optimizable (Bayesian hyperparameter tuning) machine learning (ML) classifiers ...

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...