Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Georgia Secretary of State Brad Raffensperger's downplaying of a 2020 election blunder as a mere "clerical error" has done little to quiet a growing backlash within his own party. Far from accepting ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

Rolled back to 2.0.1 and used the same term - works. Log from machine learning server: [Nest] 35 - 10/18/2025, 11:23:07 AM ERROR [Api:ErrorInterceptor~v5y7xgni ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

Artificial intelligence has become a buzzword in today's world, with nearly every smartphone launched in the previous two years basing its marketing around AI in some shape or form. It's gotten to a ...

Objective: To develop and validate machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) using non-cycloplegic parameters, addressing challenges in pediatric ...