4 ms·
I think people need to pay more attention to the current AI status. It is rapidly maturing and offering surprises every year. Most of the progress didn't make t
by eva1984 11y ago
I think people need to pay more attention to the current AI status. It is rapidly maturing and offering surprises every year. Most of the progress didn't make to the news, as AlphaGo level, but it is going to have bigger impact to our lives, even our jobs.
like:
http://arxiv.org/abs/1512.00965 http://arxiv.org/abs/1512.00965
- amelius 11y agoIt would be nice if there were a searchable blog about AI and its applications. That way, even people like me who are not so interested in the algorithms behind deep learning, can still see where this technology is heading.
- Pamar 11y agoDataTau (http://www.datatau.com/news http://www.datatau.com/news) is a clone of HN dedicated to Data Science. Maybe something similar for AI?
- Houshalter 11y agoDataTau seems somewhat abandoned. I would suggest the subreddits https://www.reddit.com/r/machinelearning https://www.reddit.com/r/machinelearning or https://www.reddit.com/r/thisisthewayitwillbe https://www.reddit.com/r/thisisthewayitwillbe
- eva1984 11y agoReddit has excellent machine learning sub. Worth looking.
- bonoboTP 11y agoI don't think it's excellent at all. It's mostly for and by novices in their first weeks or months after really starting learning about it and many zeroday beginners who think it sounds cool and post the nth deep learning news article and ask how they should start learning about this stuff. There is very little advanced discussion there. And the advanced questions and topics usually have very few comments.
- eva1984 11y agoSomewhat true. But should be good enough for beginners though. I would also love to learn other good machine learning discussion panel out of Reddit as well :)