I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1].
The best way to learn the details is of course to read the original papers. This is especially true for following along with the latest developments in deep learning.
The best way to learn the details is of course to read the original papers. This is especially true for following along with the latest developments in deep learning.
[1] https://www.ethz.ch/content/vp/en/lectures/d-infk/2017/autum...