XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

When Mark Lanier and his young client Kaley faced the tech giants in an LA courtroom earlier this year, it seemed a bigger battle than David v Goliath. But they scored a landmark victory, proving that ...

Unsupervised machine learning, combined with the analysis of earthquake sequences as interacting events, can help identify precursor signals that may occur before earthquakes. Credit: Shutterstock A ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Older patients represent the fastest growing patient group in clinical care. They are a heterogeneous group, for whom evidence for making treatment decisions is often scarce. Important domains for ...

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...