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

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...

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 ...