Overview AI testing tools now automate complex workflows, reducing manual effort and improving software reliability significantly.Companies increasingly adopt p ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

An AI-powered grape ripeness detector designed to make wine production more efficient has been developed. The new portable ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Banks tightened CRE bridge lending as real estate stress mounted. Tech-enabled nonbanks say their algorithms can fill the gap, but speed and better risk pricing are two different claims.

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

AlphaFold, which predicts three-dimensional, bioactive forms of a protein, has millions of sequences and a couple of hundred thousand structures. It can tell you, based on a particular pattern, what ...

New Johns Hopkins research shows an AI-driven liquid biopsy analyzing genome-wide cfDNA fragment patterns can detect early ...