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

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 ...

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 ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

Here we present a supervised classification model utilizing support vector machines (SVMs) for the analysis of transcriptomic data readily obtained from a peripheral blood specimen. The model was ...