We use deep learning at attentive.ai to generate alerts based on unusual events in surveillance video.

We use neural nets to generate descriptors of videos where motion is observed, and classify events as normal/abnormal.

Yeah, games like StarCraft will probably need a working memory component. The task that they solve here with RL is a simple puzzle game. It'll be interesting to see if this works for Atari games or StarCraft.

But, sadly, it doesn't work as advertised. My hypothesis is that it's extremely difficult to get great results with greedy training. Jointly learning multiple layers from huge datasets is why things started working so well.

Yes, I just saw the retraction.

There's also this API by Microsoft Research. https://www.projectoxford.ai/

I will throw ours into the ring as well.

If you need to understand emotional reaction on video sources, our API can fill in the gaps not currently filled by Google's Cloud Vision API: https://www.kairos.com/emotion-analysis-api

Disclosure: I'm CTO of Kairos.com