A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...

Thought LeaderDr. James McDonaghPrincipal Applied AI ScientistApconiX You have worked across the full drug development pipeline. How has that experience shaped your view of where AI can have the ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...

Machine learning operates as the silent engine behind modern digital infrastructure. It filters out malicious traffic, anticipates supply chain bottlenecks, and guides autonomous vehicles. However, ...

The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...