MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...

Austin, Texas, Jan. 20, 2026 (GLOBE NEWSWIRE) -- As an award–winning company working at the intersection of AI, machine learning, and high-stakes scientific data, Sophelio builds signal-first, ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...