4 ms·
Interesting article and poses the question and what I would theorize is the correct way for A.I. to learn how to be more human or machine learn is in a virtual
by owenwealro 10y ago
Interesting article and poses the question and what I would theorize is the correct way for A.I. to learn how to be more human or machine learn is in a virtual environment. i.e. create a 3D based game to teach it how to interact in the physical world in order for robotic A.I. advancement and human interaction. Similar to Google Drive then test on the road in real-life.
To the point on visual processing a stealth A.I. (not for long) working in this space is Magic Pony Technology (http://www.magicpony.technology/ http://www.magicpony.technology/) operating from London and guys I spotted at London A.I. who have previously hosted Prediction IO and Swiftkey at their last events.
Another caveat for this test is sound, human players will have audio but the A.I. will be purely visual so a slight disadvantage.
We are working on speech-to-text and text-to-speech technology for our A.I. voice enabled finance assistant which is in beta at WealRo (http://www.wealro.com http://www.wealro.com) with a view to enabling a visual face recognition at some point in order for the A.I. to gather information from facial expressions. Always happy to get any thoughts on the potential usefulness of such an integration?
- chrisan 10y ago> Another caveat for this test is sound, human players will have audio but the A.I. will be purely visual so a slight disadvantage. This project says it only uses the screen buffer, but perhaps (and this is beyond my low level knowledge) there is also an equivalent "sound buffer" where it could tap into left and right channels?
- jcauchy 10y agoNo, there is no sound buffer. It is an interesting extension to our project but I think the visual information is significantly more important.