41–50 of 58 posts
For a millisecond I thought Intel were doing something new and interesting. Neuromorphic or neuromeristive architectures maybe. Nope it's just some rebranded x86 cores.
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As someone who works in the semiconductor industry, I'm worried that joining an AI hardware company is a risky move that will falter just like General Magic and other hyped hardware startups.
Nvidia is heavily pushing AI right now, and it could be their biggest market in the future. But they're not a startup: Nvidia is valued at $50B. Their core market is selling high-end graphics cards for hard-core gamers. Even if their AI business failed completely tomorrow, it's still a viable company.
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Have any other examples of failed hardware? I love reading about these, most of which I get from r/shittykickstarters, but I'd like to have a rich vein of failed SV startups
Thinking Machines and Transmeta come first to my mind. I'm foggy on details around Thinking Machines, but I vividly remember hype and lustrous lies/promises media pushed about Transmeta.
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Perhaps it uses a memrister?
I think memristers are an HP thing. Intel's competing product is 3D cross point, which, according to marketing is a persistent memory technology that's higher density than DRAM and faster than flash.
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Good point. I have a cognitive bias against startups because I think what they're doing isn't complex, but it is fallacious.
You shouldn't chase complexity; chase opportunity. For the same opportunity, a non-complex approach will normally be superior to a complex approach.
Maybe I'm biased, but I can count far more company fortunes that were made doing a simple thing (at the right time) than a complex thing.
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Nervana TPUs aren't rebranded x86 cores. They aren't neuromorphic either, and I don't know what neuromeristive is.
Neuromorphic means brain like, so basically, super parallel. Neuromemristive,although I haven't heard the term before, means using memristors to compute artificial neural networks.
What does that mean?
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They don't necessarily have to scale down to get the benefits of AI in side smaller devices such as robotics. There's no reason why the robotics devices can't or won't be equipped with a variety of radios to facilitate communication. The AI agent can easily be somewhere centralized where power isn't a big deal. Then the robot stops being analogous to an animal with it's own brain and starts being something more like…
Oh god, imagine being in a self driving car that does it's computing in the cloud - and then you enter a tunnel. Obviously cars are not really power or space limited and they can't rely in connectivity. But it's funny to think about anyway.
People look at a humanoid robot and they see an entity that is similar to a human but made of silicone and steel instead of meat and bone. I think it's more accurate to compare the robots in this factory to the hands and eyes of a large disembodied rackmount brain.
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They don't necessarily have to scale down to get the benefits of AI in side smaller devices such as robotics. There's no reason why the robotics devices can't or won't be equipped with a variety of radios to facilitate communication. The AI agent can easily be somewhere centralized where power isn't a big deal. Then the robot stops being analogous to an animal with it's own brain and starts being something more like…
There could come a day when you have to sign in to Facebook to use your car, like if they get to harass you with advertising the trip's free.
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Neuromorphic means brain like, so basically, super parallel. Neuromemristive,although I haven't heard the term before, means using memristors to compute artificial neural networks.
>using memristors to compute artificial neural networks What does that mean?