Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
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 ...
The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
Ms. Enders says Amii’s mandate – AI for good and for all – is a philosophy that moves beyond the theoretical into tangible, ...
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 ...
AI research labs are becoming the primary source for new foundational models and infrastructure optimisation innovations.
Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.
Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...
According to MarketsandMarketstm, the Smart Learning Market is projected to grow from USD 80.69 billion in 2025 and to reach USD 178.62 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 17.2 ...
A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...
1dOpinion
The next generation of driverless cars will have to think about what’s on the road, not just see it
Nvidia’s new AI system, Alpamayo, could prove a major step to making autonomous cars a common sight on our roads.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback