Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

David DeSanto is Chief Executive Officer at Anaconda, where he leads the company’s mission to empower the world’s data science and AI communities through open-source innovation and secure enterprise ...

Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

As automation becomes the backbone of regulated industries, the focus is shifting from speed and efficiency to accountability ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

Two curated guides review 67 free AI and computational tools for your daily work in the lab, from literature discovery and ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.

Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...

Talent shortages are the single biggest challenge facing technology leaders in 2026, as artificial intelligence rapidly reshapes hiring priorities, according to the new Reveal 2026 IT Talent Survey, ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...