As an IT professional who always keeps up to date with the latest information, Xiang Kun is naturally aware of what the most advanced and cutting-edge AI looks like.
In the AI field, deep learning and neural networks are still dominant, with large factories at home and abroad, such as Doge, Penguin, Du Niang, Ali Niang, and so on, each having their own deep research direction, and they publish their latest progress from time to time.
After all, most of the current AI research directions are difficult to create good results with isolated work. Especially in machine learning, data, computing power, and algorithms are all necessary. Without a sufficient dataset, even if your algorithm is exquisite and your machine's computing power is advanced, it's hard to get the results you want and apply them to reality.
In some specific fields, AI has already surpassed, or even outstripped, human abilities.
