A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Key opportunities in AI-driven materials discovery include increasing demand for rapid advanced materials development, growth ...
A new study suggests inexpensive AI could reshape healthcare’s business model by helping patients use LLMs to manage and ...
The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...
Mathematical Modeling is One of the Most Valuable Skills. Mathematical modeling is often associated with academic research, ...
A new AI model called COMPASS uses tumor gene expression data to predict which patients will respond to cancer immunotherapy ...
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
A.I. labs are hiring contrarian, chin-stroking, finger-steepling sages. Who’s underemployed now? Clockwise from top left: ...
Within a $5 million laboratory on the University of Idaho’s Coeur d’Alene campus, a host of intelligent robots wait for their next command.
Across global manufacturing sectors, particularly within the rapid infrastructure expansions of Belt and Road countries, the demand for precision-engineered architectural stone has escalated. To ...
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