It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

If this kind of writing can be done by a machine that doesn’t have a single thought in its head, what does that tell us about what we’ve been asking of students.

Companies spend millions of dollars training machine-learning algorithms to recognize faces or rank social posts, because the algorithms often can solve a problem more quickly than human coders alone.

Machine learning can determine your context, meaning, equivalent grade-level and even your mood from your choice of words ...

In this online engineering specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work, how to model their behaviors ...

Now, Facebook has shown how some AI algorithms can learn to do useful work with far less human help. The company built an algorithm that learned to recognize objects in images with little help ...