MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Lixplore-cli is a Python CLI tool for researchers. Search papers, filter results, and manage your library from the terminal.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.