131–140 of 183 posts
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You might be able to find someone to create a derivative on it. You would probably need a non-trivial amount of money to make it happen.
That's what I figured. I wish there was some SaaS-ish fund/Kickstarter where multiple small investors could go together for this kind of thing for a nominal fee.
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Since you're an expert: what about these videos is hard? The things that jumped out at me are: 1 - the robot moving behind the table leg (ie you have to do depth recognition of objects in the scene) 2 - the user's hand interacting with the artificial elements in the scene. Some code had to recognize a hand and figure out which element it was touching. What strikes you as the hard parts of those videos besides the rea…
These two things are non-trivial, but not particularly hard in themselves. However, doing them at ultra-low latency becomes quite a challenge. Doing anything at ultra-low latency is already a challenge, but especially so when what you're trying to do is running a deep neural net for entity recognition or gesture recognition.
I've been working on AR and related technologies for almost the last decade and I've been part of the first handful of people working on Google Glass. Bottom line I've seen a lot of promising AR technologies come and go. My personal take on this is that they may indeed have some very good, if not revolutionary, display technology. However : The big, big obstacle to delivering credible AR is latency. Contrary to VR, t…
The 10-15ms motion-to-photon latency is pretty vital in VR too so that users don't get sick.
The money flowing into Augmented Reality in general isn't so much about 'augmented reality' as a thing today so much as it's a big audacious bet on it being the next wave of technology that replaces mobile phones.
I believe smartphones will be looked back from the future and seen as what they really are: a clunky way to interact with information. AR is definitely the future of all interfaces, not an audacious bet at all, pragmatic in fact.
If we're still poking at tiny screens in 2025, something has gone very wrong.
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Given the former omnipresence of flying cars in science fiction movies, I would say yes.
Flying cars don't exist. That's a technology problem, not a market problem.
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As I compete with Magic Leap, I'm probably in a pretty good position to answer this question. The main reason why ML is able to attract this level of investment is that their technology is literally decades ahead of what anybody else has. I haven't had the opportunity to try their headset out, but I know some people who have, and I haven't heard a single bad thing about it. The closest metaphor I can think of is seei…
> haven't had the opportunity to try their headset out, but I know some people who have It's easy to say technology is decades ahead when you haven't even tried it. Rumor/second-hand retellings can be very powerful. I'm really excited to see this tech, but I'm also really skeptical.
I've been working on AR and related technologies for almost the last decade and I've been part of the first handful of people working on Google Glass. Bottom line I've seen a lot of promising AR technologies come and go. My personal take on this is that they may indeed have some very good, if not revolutionary, display technology. However : The big, big obstacle to delivering credible AR is latency. Contrary to VR, t…
Magic Leap should skip the fancy stuff (mixing virtual scenes with real), at least at first, and focus the many other useful features of a great head-mounted display system - think mobile notifications, video calls, web browser, etc.
It could easily replace smart watches and later cell phones and computer monitors without solving the latency issue.
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These two things are non-trivial, but not particularly hard in themselves. However, doing them at ultra-low latency becomes quite a challenge. Doing anything at ultra-low latency is already a challenge, but especially so when what you're trying to do is running a deep neural net for entity recognition or gesture recognition.
Training an ANN is computationally intensive, using a trained ANN is not. No context switching for system calls, no memory management, just matrix math.
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As I compete with Magic Leap, I'm probably in a pretty good position to answer this question. The main reason why ML is able to attract this level of investment is that their technology is literally decades ahead of what anybody else has. I haven't had the opportunity to try their headset out, but I know some people who have, and I haven't heard a single bad thing about it. The closest metaphor I can think of is seei…
That must be intimidating to be going up against a company with that level of investment, hype and technology that you state as being "decades ahead of what anybody else has." Are you able to share what company you work for and how you are planning to compete? Also, what would you consider the best consumer AR and VR experiences available on the market today, or expected to be on the market next year? Super intereste…
The best consumer VR in my experience is the HTC Vive. I recommend you check it out if they take it on tour to where you live. I haven't tried the production version of Oculus, but I've heard excellent things with it, and I thought Crescent Bay was quite good. Playstation VR isn't as good in my opinion, but most people in the industry expect it be the most popular with consumers as it doesn't require a high-end gaming PC.
There isn't any good consumer-level AR experience that will be on the market in the next year.