I’m not sure if you follow tech conferences, but earlier this week Google held its annual Google I/O event. This is a conference targeting developers focused on Google ecosystem, during which there’s usually a lot of interesting announcements concerning Google’s plans and research. I feel that last year conference was much more exciting (“Now on tap”, Machine learning based search in pictures application and so on), still I found one pretty interesting news from the field of AI and Machine Learning.
I’m sure that you heard that earlier this year Google open-sourced their Tensor Flow engine for Machine Learning applications. So in this article [1] Google unveils a custom made ASIC chip called Tensor Processing Unit (TPU). TPU is tailored to Machine Learning computations. Google is not (yet?) giving away the exact numbers but they are stating that TPU is an order of magnitude better optimised in terms of performance per watt.
So Google is obviously spearheading the Machine Learning and AI research in general.
- Do you feel that they have any reasonable competition right now?
- Are you excited about their research? I’m personally a bit anxious that most of their activities is done behind closed doors and is motivated by future revenues.
- Does research on Machine Learning and AI conducted in Academia stand any chance with almost limitless resources of a private company like Google?