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, ...

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 ...

New solutions eliminate friction, enabling effortless portability of unstructured data and embeddings across systems - with no downtime, no vendor lock-in, and no added cost.

Abstract: Since support vector regression (SVR) is a flexible regression algorithm, its computational complexity does not depend on the dimensionality of the input space, and it has excellent ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...