Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...

CNW/ - Agentiiv – a pioneer in enterprise-grade, agentic AI systems in Canada – today announced a technology partnership with the Vector Institute. As ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Health Discovery Corp. advanced stock charts by Barron's. View HDVY historical stock data and compare to other stocks, and exchanges.

Researchers at Örebro University have developed an AI system that detects welding defects in real time, improving quality ...

New agreement gives AI startups and scale-ups a direct path to IP strategy and IP fundingTORONTO, Jan. 07, 2026 (GLOBE ...

ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...