Why full-deck AI startups make more sense

The main problem for most pure-software AI/ML/DL startups is that: they do
not have the input data, otherwise known as the training sets in AI/ML/DL
jargons. Read more


A Berkeley View of Systems Challenges for AI

With the increasing commoditization of computer vision, speech recognition and machine translation systems and the widespread deployment of learning-based back-end technologies such as digital advertising and intelligent infrastructures, AI (Artificial In... (more…)

Read more »