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

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...

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 ...

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 ...

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

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

The Vector Institute and Intellectual Property Ontario (IPON) have signed a memorandum of understanding (MOU) to enhance intellectual property (IP) support for small and medium-sized enterprises (SMEs ...

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation ...

Forecasting aerodynamic coefficients of lift and drag is a crucial aspect of airfoil design and optimization in aerospace engineering. Among numerous desirable design features of the wing and/or ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...