Healthcare AI is often validated like a one-off science project. This can prove that a model is interesting, but it rarely ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

The incidence of severe maternal morbidity remains high among patients with sickle cell disease, but a novel risk calculator ...

Shanmuka Siva Varma Chekuri automated Everest Reinsurance's global systems, cutting manual work by 70% and embedding ...

Microsoft delivered a strong Q2, beating top and bottom line estimates, yet the stock sold off on perceived Azure growth ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...

By eliminating the need for client-side model training, private capital firms can now gain speed, accuracy, and data transparency with a new automated solution for ingesting portfolio company document ...

With AI’s explosive growth literally pushing data centers to their limits, the next generation of infrastructure must rethink ...