On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

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.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The Fast Vector Similarity Library is a high-performance Rust-based tool for efficiently computing similarity measures between vectors. It is ideal for data analysis, machine learning, and statistical ...

This is a utility for generating signed distance fields from vector shapes and font glyphs, which serve as a texture representation that can be used in real-time graphics to efficiently reproduce said ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Interior gateway routing protocols play a crucial role in ensuring the smooth functioning of most forms of networks that exist today including the internet, and among them, ...