Discover the transformative potential of Quantum Machine Learning (QML), exploring how QML harnesses quantum mechanics to revolutionize computational intelligence and machine learning. Delve into ...

A new technical paper titled “Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, ...

Sarepta Therapeutics SRPT announced that the FDA has granted platform-technology designation to its viral vector rAAVrh74, ...

Efficient virtual screening (VS) tools for searching selective multitarget agents are desired. Combinatorial support vector machines (C-SVM) were tested as VS tools for searching dual-inhibitors of 11 ...

Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is looking to solve.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Abstract: Support vector machines (SVMs) are popular learning algorithms to deal with binary classification problems. They traditionally assume equal misclassification costs for each class; however, ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...