Artificial Intelligence (AI) has moved from science-fiction territory to mainstream integration. Once limited to research ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...

A research group has developed an improved workflow for constructing machine learning (ML) models in oligonucleotide ...

Employees are increasingly deploying AI agents and ML models without the knowledge or approval of IT departments, often circumventing security protocols, data governance policies, and compliance ...

ML is the name given to a branch of AI that is focused on allowing computers and machines to imitate the way that humans ...

The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

In an era defined by rapid digital transformation, Srinivasa Rao Kolusu has emerged as a pivotal force driving AI/ML ...

In almost fashion-show style, these machine learning (ML) models are judged to see which is best suited for the ever-changing dataset demands of experimental programs. But unlike the hit reality TV ...

The horizon of DevSecOps is rapidly expanding with advancements like edge computing, federated learning and specialized AI ...

The study identifies nutrient pollution, industrial runoff, and urban wastewater as primary contributors to algal blooms in ...

To manage open-source AI and machine learning usage in software supply chains, Sonatype now provides proactive defense against malicious AI models. The platform blocks harmful models from entering ...

This article discusses first-principle blend model architecture used traditionally by refineries, including its pros and cons. This text also explores the concept and trend of using artificial ...