Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

University of South Florida postdoctoral researcher Kun Bu develops advanced AI and statistical frameworks to extract clear, ...

General purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

If you’ve ever looked at job posts in tech and felt your brain do a tiny backflip, you’re not alone. Data careers can sound ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

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 ...

A threat group researchers call "Armored Likho" has gained access to government agencies and electrical power entities in ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

An extensive analysis of 26,103 engineering job advertisements offers a detailed view of the technical and professional skills most valued by employers, and how these demands vary by discipline, ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

Abstract: Every word or string of words a user types into a search engine has meaning. For example, a user might search for a “hotel” or a “hotel in New York City.” Keywords are the standard focus of ...