Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

The shift from AI tools to AI partners is not a future event. It is happening now, and the merchants and operators who build their workflows around agentic ...

Data visualization veterans Ellie Fields and Jeffrey Heer are launching Ridge AI from stealth with $2.6M from Madrona and ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Know what message you’re trying to communicate before you get down in the weeds. by Scott Berinato Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill.

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

BACKGROUND: Despite antiplatelet therapy, some patients remain at high ischemic risk because of drug nonresponsiveness or high residual platelet reactivity). We aimed to target an orphan platelet GPCR ...

Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...