A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Every day as I peruse through the mountain of metrics presented to me on my Garmin watch, I pause to take a look at a particular number: my VO2 max score. And I’m sure I’m not the only runner that ...

For a brief moment, the digital asset treasury (DAT) was Wall Street’s bright, shiny object. But in 2026, the novelty has worn off. The star of the “passive accumulator” has dimmed, and rightly so.

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...

If you’re going online to buy some last-minute gifts this holiday season, there’s a chance the price you pay will be influenced by what’s known as “surveillance pricing.” Some retailers are using ...

For years, PPC advertisers have considered Performance Max (and Smart Shopping before it) to be a black box, even a black hole. While its powerful automation drives convincing results, the lack of ...