Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

Prepare yourself for a turulent year with the 10 best business books published in 2025. Each of them offers unique insights.

RIT astrophysicist uses AI and machine learning to hunt for systems that will lead to understanding how stars live, die, and ...

The future of work isn’t human vs. machine — it’s smart teams blending both. Here’s how to build your edge in an AI-powered ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Explore campus events in Tiruchi, highlighting art competitions, heritage expos, AI workshops, and educational initiatives ...

Analyzing current trends allows experts to predict how cybercriminals will leverage artificial intelligence in the future.

The U.S. military’s AI-enabled platforms are only as good as their inputs. Across the force, these systems are ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

Binary classification is a type of image classification where you essentially train a model on two different labelled objects. Then, when you deploy the model, the ESP32 can calculate a percentage ...