AI works really well when you couple AI in a raisin bread model. AI is the raisins, but you wrap it in a good user interface and product design, and that's the bread. If you think about raisin bread, it's not raisin bread without the raisins. Right? Then it's just bread, but it's also not raisin bread without the bread. Then it's just raisins.
I co-founded Affectiva with Professor Rosalind W. Picard when we spun out of MIT Media Lab in 2009. I acted as Chief Technology and Science Officer for several years until becoming CEO mid-2016, one of a handful of female CEOs in the AI space.
If we could communicate at the speed of thought, we can augment our creativity with the low-level stuff that AI and robots and 3-D printers and fab labs and all that do.
I often think that woman is more free in Islam than in Christianity. Woman is more protected by Islam than by the faith which preaches monogamy. In AI Quran the law about woman is juster and more liberal.
When AI approximates Machine Intelligence, then many online and computer-run RPGs will move towards actual RPG activity. Nonetheless, that will not replace the experience of 'being there,' any more than seeing a theatrical motion picture can replace the stage play.
AI cloud is just very, very nascent.
Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
Ninety percent of video game AI really is pretty damn bad. I think that's actually why it's so much fun to shoot things. Because the AI is so bad and the characters are so annoying.
When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?
I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.
Note that I am not proposing that AI research be ignored or less funded.
We are focusing on four vertical markets - utilities, public sector, large enterprises, and transportation. And, we are building a software business as well that includes analytics, security, IOT platforms, and AI.
Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.
One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.
AI is everywhere. It's not that big, scary thing in the future. AI is here with us.
There's a new set of transformative technologies such as machine learning, AI, and virtual reality that will spawn another set of big tech franchises. But in terms of cultural impact, perhaps we are at peak Valley.
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
I looked at but was not allowed to touch Ai Weiwei's 'Sunflower Seeds' at the Tate. The film of making them was really moving.
One thing ImageNet changed in the field of AI is suddenly people realized the thankless work of making a dataset was at the core of AI research.