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

In case you've faced some hurdles solving the clue, Food dyes and preservatives, for example, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy ...

It might be small, but Valve's Steam Machine carries with it the very real possibility of shaking up the console gaming landscape. The cube has the specs, form-factor, and library to stand toe-to-toe ...

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.

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A malicious package recently uploaded to the Python Package Index (PyPI) is the latest manifestation of the growing sophistication of software supply chain threats. Security researchers at JFrog ...

During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written ...