Learn how to structure and deploy machine learning projects, making them scalable and ready for real-world applications.

Daniela Rus, the director of MIT’s Computer Science and Artificial Intelligence Lab, is developing robots that take more cues ...

One common misstep: assuming bigger models and better benchmarks translate to a better user experience. Accuracy may not be enough. If a system is slow or resistant to correction, it alienates users.

Identifying and rectifying true root causes is essential for building AI systems that are consistently dependable, trustworthy and maintainable, reducing reactive troubleshooting and enabling teams to ...