Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory ...

Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

Drawing on his leadership roles within the SiLA Consortium and ASTM’s The Analytical Information Markup Language (AnIML), Schaefer explains why open standards and lightweight metadata are essential to ...