A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...

Following the King County Regional Homelessness Authority Point-In-Time Count, that showed 4.2 percent of unsheltered individuals identified as American Indian, Alaska Native or Indigenous, Native-led ...

Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.

The full workflow is computationally intensive — it performs global-scale rasterisation across multiple taxonomic groups, spatial resolutions, and years — and is designed to run on an HPC cluster.

Abstract: The quality control of meteorological data has lately received great attention for its important significance to national ecological security and military security. However, the ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

Scientists may have been unknowingly inflating microplastics pollution estimates, and the surprising source could be their own lab gloves. A University of Michigan study found that common nitrile and ...

Dividends by the Numbers series tracked the US stock market's dividend metadata, which provided a simple, near real-time method of measuring the relative health of the US economy. We've opted to focus ...

Sean Ross is a strategic adviser at 1031x.com, Investopedia contributor, and the founder and manager of Free Lances Ltd. Gordon Scott has been an active investor and technical analyst or 20+ years. He ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

Abstract: Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two ...