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.

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 ...

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.

For applications of advanced machine learning (ML), writing AI algorithms fortified by quantum computing reduces the amount of time required for bringing new pharmaceuticals to market, for example.