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 ...

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

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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

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 ...