miket

18 ms·

121.
IBM Watson API(developer.ibm.com)
311 points by miket 12y ago|84 comments
122.
by miket 12y ago
At Diffbot, we have an automated discussion thread parser, currently in beta testing, that might be exactly what you need. Send me a note at mike@diffbot.com and I'd be glad to hook you up. (disclosure: I work there)
123.
by miket 12y ago
Would love to hear more about your use case Denny--sending you a PM. As for web-scale crawling of particular verticals such as products and news, you might want to try: http://www.diffbot.com/products/automatic/
124.
by miket 12y ago
Check out http://diffbot.com/products/automatic/product/ to do this fully automated.
125.
Experimental Serum that Saved Ebola patient's life(ncbi.nlm.nih.gov)
1 points by miket 12y ago|0 comments
126.
by miket 12y ago
Diffbot is hiring at Stanford/Palo Alto, CA We're looking for experts in computer vision, distributed systems, natural language processing, and rendering (Webkit internals). Come help us build the web of structured data. http:&#x
127.
by miket 12y ago
This was pre-trained on ImageNet classes. You can find more information here: http://www.image-net.org
128.
by miket 12y ago
DashNotes looks great, if you'd like to use Diffbot to generate summaries of pinned links, I'd be happy to hook you up with some free calls. Hit me up at mike@diffbot.com
129.
by miket 12y ago
Looks great, Thomas. If you'd like to use Diffbot [1] to generate clean content summaries of the links for mobile, ala premii, I'd be happy to hook you up with some calls. [1] http://diffbot.com
130.
by miket 12y ago
What particular aspects, interactions in this app make you feel like it was rushed? How could it be improved?
131.
Jibo, the first family robot(myjibo.com)
15 points by miket 12y ago|1 comments
132.
Evernote Hires AI role(hire.jobvite.com)
1 points by miket 12y ago|0 comments
133.
Google Font CDN(google.com)
13 points by miket 13y ago|8 comments
134.
by miket 13y ago
..and this service won't be available in your area any time soon, either.
135.
by miket 13y ago
Diffbot - Palo Alto, one block from the Stanford campus. We're applying computer vision and NLP to web pages to structure data for developers. Read more here: http://diffbot.com/company/ We're looking for fu
136.
NYTimes + Pinterest(nytimes.com)
1 points by miket 13y ago|1 comments
137.
Rap Genius traffic back to 2013 levels(quantcast.com)
1 points by miket 13y ago|1 comments
138.
Ted Nelson: I think I now who Satoshi Is(youtube.com)
4 points by miket 13y ago|0 comments
139.
by miket 13y ago
Is he sitting on a church pew?
140.
Nice remote development setup with Notepad++(dexterindustries.com)
2 points by miket 13y ago|1 comments
141.
by miket 13y ago
These guys having an amazing sense for design and product. Early paid user of Kippt and looking forward to this pivot.
142.
by miket 13y ago
The sentence trees are parsed with the Stanford NLP Parser, available here: http://nlp.stanford.edu/software/lex-parser.shtml
143.
An API for getting product metadata from the entire Web using Computer Vision(techcrunch.com)
7 points by miket 13y ago|0 comments
144.
by miket 13y ago
Hope it's less flaky than the Google-provided wifi in Mountain View
145.
by miket 13y ago
Instead of (or in addition to) manually creating scrapers, you can use Diffbot to automatically extract this type of information from news articles using computer vision: http://diffbot.com/products/automatic/artic
146.
by miket 13y ago
Before embarking on this project, you should check out the company that was founded 6 years ago that does the thing you described: http://www.pluraprocessing.com/
147.
Facebook Chat Now Has Stickers(digitaltrends.com)
1 points by miket 13y ago|0 comments
148.
Setting up a Machine Learning Farm with Spot Instances + Auto Scaling(blog.diffbot.com)
3 points by miket 13y ago|0 comments
149.
Machine Learning in the Cloud(blog.diffbot.com)
5 points by miket 13y ago|0 comments
150.
by miket 13y ago
Not at all unlikely, but routine. TechCrunch previously wrote about what these Facebook comprehensive account reports to these "lawful" requests look like: http://techcrunch.com/2012/04/06/heres-wha

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