Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Zilliz, the company behind Milvus, the world's most widely adopted open-source vector database, today announced the public ...

The first free tool of its kind gives newsrooms, HR, insurance and AI teams, among others, a practical way to help eliminate ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

Vector Lakebase keeps Zilliz Cloud's real-time vector search at the core — the engine Zillow, OpenEvidence, Exa, Filevine, MiniMax, and more than 10,000 enterprises and AI teams already rely on — and ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Learn how to safely and effectively integrate GenAI to transform regulatory analysis through practical application ...

There’s now an open-source tool to help detect biased language in writing and AI datasets, developed by a Canadian research ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

Abstract: Supervised learning approaches are widely used for driving style classification; however, they often require a large amount of labeled training data, which is usually scarce in a real-world ...

Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

Abstract: Support Vector Machines (SVM) are widely used as supervised learning models to solve the classification problem in machine learning. Training SVMs for large datasets is an extremely ...