A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

The magic happens using the TinyML model I built, where I trained it on two weeks of data by exporting every timestamped ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds—those with high ...

DeepLearning.AI has several free courses on topics like ChatGPT prompt engineering, evaluating generative AI models, and ...

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...

On October 3-4, 2025,The Federal Reserve Bank of Philadelphia and the Center for Applied AI at the University of Chicago Booth School of Business are co-hosting a conference on Frontiers in Machine ...

Finance teams at leading enterprises—including Blackbaud, Bring IT, Brown & Brown, Secureworks, Denny’s, Freshworks, and UserTesting—use Auditoria to accelerate business value while minimizing IT ...

The rise of AI adoption in manufacturing is real, but it's being driven by business outcomes, not technological complexity.

No motion sickness but a lot of virtual close calls at Toyota Motor Manufacturing Kentucky, the largest auto plant in North ...

Dashboards will persist as record-keepers, but conversational intelligence is emerging as the operating system of decisions.

A New Mexico State University astronomer and her team can now predict space weather in the sweet spot between two extremes of ...

The digital landscape has witnessed an unprecedented shift in human relationships, with artificial intelligence companions ...