Particularly, claiming Russian collusion the last time did not turn out to be true, but the Media jumped on this narrative. Let's not do it again.
Well Cloudflare has an office there, where their CTO is.
I just read a book about it from the co-creator of Siri, Luc Julia. He spends a good part of the book complaining about french research, which does not care about products impact and thus is very theoretical, but also…
The whole interview (multiple hours) is fascinating, like a good episode of "On the Metal". Heavy recommend for people interested in CS history and Innovation.
This is an uninformed opinion yeah. Facebook is recruiting HEAVILY and appears to have the published state-of-the-art research in the field. They also recently acquired a hot startup in the field, Scape based in London,…
This paper is a bit "old" by the way. An excellent paper was released a week ago : https://arxiv.org/abs/2003.01587 Findings are mostly the same. For day/day images, with a properly tuned pipeline, SIFT is really good.
Mhhhhh, I'm a researcher in the field and I'd say it's a mostly inaccurate statement. The root-SIFT detectors and descriptors are still really good. If you try to match images in different conditions (day/night), then…
Particularly, claiming Russian collusion the last time did not turn out to be true, but the Media jumped on this narrative. Let's not do it again.
Well Cloudflare has an office there, where their CTO is.
I just read a book about it from the co-creator of Siri, Luc Julia. He spends a good part of the book complaining about french research, which does not care about products impact and thus is very theoretical, but also…
The whole interview (multiple hours) is fascinating, like a good episode of "On the Metal". Heavy recommend for people interested in CS history and Innovation.
This is an uninformed opinion yeah. Facebook is recruiting HEAVILY and appears to have the published state-of-the-art research in the field. They also recently acquired a hot startup in the field, Scape based in London,…
This paper is a bit "old" by the way. An excellent paper was released a week ago : https://arxiv.org/abs/2003.01587 Findings are mostly the same. For day/day images, with a properly tuned pipeline, SIFT is really good.
Mhhhhh, I'm a researcher in the field and I'd say it's a mostly inaccurate statement. The root-SIFT detectors and descriptors are still really good. If you try to match images in different conditions (day/night), then…