Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...

Abstract: This paper presents a naive Bayesian recognition and classification method based on extended Kalman filter, designed for multi-target tracking scenarios using multiple radars. The approach ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

AI systems began a major shift in 2025 from content creators and chatbots to agents capable of using other software tools and ...

With more realistic images than before, GPT Image 1.5 fares reasonably well against Google's Nano Banana Pro in my testing.

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

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

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

One certain casualty emerged from Sunday’s controversial reveal of the College Football Playoff bracket. Bambi is dead. Athletic director Pete Bevacqua and others in and around Notre Dame were ...

Move to wean Europe off Russian gas has meant it is now increasingly exposed to cleantech supply chain dominated by China, says energy chief at consultancy Aecom There was a “naive assumption” that ...