Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Crystal ball: In its first hurricane season, Google's Deepmind AI framework not only matched decades of human expertise but surpassed the output of two of the world's most advanced supercomputer ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...