We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
News Highlights AI adoption is accelerating faster than enterprise oversight. Despite 200% AI usage growth in key sectors, many organizations ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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 ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...
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