Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

We analyze over 650 PC games to compare DLSS, FSR, and XeSS support to reveal how far Nvidia, AMD, and Intel really are from each other in upscaling ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

The team's automated reasoning research aims to build algorithms that allow computers to perform logical reasoning. The output of these algorithms is traditionally binary: satisfiable or unsatisfiable ...

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

Vector Algorithmics, a provider of algorithmic trading solutions, today announced a significant update to its futures trading algorithm. The enhanced system demonstrates substantial improvements in ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...

The authors investigate a quantum support vector algorithm that uses qudits to identify the most accurate way of solving a prototype machine learning task: the binary classification of point clusters.