41–50 of 155 posts
> Many of these funds are putting time and resources into securing data sets, technical mentors and advanced simulation tools to support the unique needs of AI startups What are "advanced simulation tools" ? something like https://github.com/marcotcr/lime ?
"Many of these funds are putting time and resources into securing data sets" - this is key.
Whenever I see announcements like this, it's very unclear to me what is meant by "AI." Are they talking about basically getting the most out of the current ML/deep learning type systems? If so then I guess building data sets makes sense but it seems more like an uninteresting business strategy than what I think of as pushing AI forward. If, on the other hand, they are talking about making progress on the more traditi…
Or is it just the time correlation that interests you? Because some of these data sets are very likely to indeed be time correlated. Like a video/audio data set for example.
Is it likely that I (and other Andrew Ng 'fans') will be able to buy stock in his company?
"Many of these funds are putting time and resources into securing data sets" - this is key.
Whenever I see announcements like this, it's very unclear to me what is meant by "AI." Are they talking about basically getting the most out of the current ML/deep learning type systems? If so then I guess building data sets makes sense but it seems more like an uninteresting business strategy than what I think of as pushing AI forward. If, on the other hand, they are talking about making progress on the more traditi…
> Many of these funds are putting time and resources into securing data sets, technical mentors and advanced simulation tools to support the unique needs of AI startups What are "advanced simulation tools" ? something like https://github.com/marcotcr/lime ?
Is it likely that I (and other Andrew Ng 'fans') will be able to buy stock in his company?
there is usually a minimum investment amount. for a fund of this size, im guessing it would be around $5m
Earlier quoted context omitted.
Whenever I see announcements like this, it's very unclear to me what is meant by "AI." Are they talking about basically getting the most out of the current ML/deep learning type systems? If so then I guess building data sets makes sense but it seems more like an uninteresting business strategy than what I think of as pushing AI forward. If, on the other hand, they are talking about making progress on the more traditi…
What is the difference between a data set and a raw sensory data stream? More specifically, isn't a raw sensory data stream just a data set? I think you are getting hung up on semantics. Or is it just the time correlation that interests you? Because some of these data sets are very likely to indeed be time correlated. Like a video/audio data set for example.
Earlier quoted context omitted.
Whenever I see announcements like this, it's very unclear to me what is meant by "AI." Are they talking about basically getting the most out of the current ML/deep learning type systems? If so then I guess building data sets makes sense but it seems more like an uninteresting business strategy than what I think of as pushing AI forward. If, on the other hand, they are talking about making progress on the more traditi…
What is the difference between a data set and a raw sensory data stream? More specifically, isn't a raw sensory data stream just a data set? I think you are getting hung up on semantics. Or is it just the time correlation that interests you? Because some of these data sets are very likely to indeed be time correlated. Like a video/audio data set for example.
You can feed a million images that are labeled "cat" or "no cat" to one of these systems and it can achieve a human-level proficiency at identifying cats in images. But, it won't be able to do anything other than identify cats, it's far too narrow to be considered intelligent in any way.
If you can feed a series of timestamped photos to a system, basically an unlabeled arbitrary video stream, and you can demonstrate that it formed some notion of what a cat is, that would be very interesting indeed.
Earlier quoted context omitted.
Looks like Data sets are going to be the moat of AI companies.
It was the reason Blekko had value to IBM's Watson effort, the crawler was state of the art. With that and the 'web' you can create data sets that others can't. It is the not-so-secret advantage that both Google and Microsoft leverage (their search engine crawlers).