NVIDIA's $99 Jetson Nano is an AI Computer for DIY Enthusiasts (engadget.com)

Sophisticated AI generally isn't an option for homebrew devices when the mini computers can rarely handle much more than the basics. NVIDIA thinks it can do better -- it's unveiling an entry-level AI computer, the Jetson Nano, that's aimed at "developers, makers and enthusiasts." From a report: NVIDIA claims that the Nano's 128-core Maxwell-based GPU and quad-core ARM A57 processor can deliver 472 gigaflops of processing power for neural networks, high-res sensors and other robotics features while still consuming a miserly 5W. On the surface, at least, it could hit the sweet spot if you're looking to build your own robot or smart speaker. The kit can run Linux out of the box, and supports a raft of AI frameworks (including, of course, NVIDIA's own). It comes equipped with 4GB of RAM, gigabit Ethernet and the I/O you'd need for cameras and other attachments.

Comments

Finally a board with some RAM

[drinkypoo]

4GB puts this into the category where it's actually useful for stuff like web browsing. Sadly, the link to the item from TFA is 404, but it looks like it's actually got enough ports on it to be useful for doing stuff without needing a hub, too. Forget building robots with it, you can build kiosks. Do they have an Android build for it?

I'll wait for the positronic version

[nospam007]

This one doesn't even have the 3 laws.

Mr. Fusion

[theCat]

Soon people will be tinkering with personal-sized AI like they started to do with Arduino a few years back, and 3D printing more recently. The trend here is obvious, but we cannot predict what tinkers will come up with once they get their hands on these things in a big way.

AI researchers fret about the "containment problem", meaning how do you prevent an autonomous intelligence from breaking out of your lab and doing whatever it wants to, including enhancing itself exponentially. So there is talk about creating process and protocols to contain AI similar to what you might have regarding biological containment for a microbiology lab working with dangerous pathogens. But those rules aren't going to work when anyone wants to can build a reasonably powerful AI machine using off-the-shelf components, and/or using cloud-based resources.

I don't expect this is going to work out the way we think it is.

Re:Mr. Fusion

[Kjella]

Reasonably powerful? Do you mean capable of reason? Because it's likely that such will happen in a supercomputer before it happens in some hobbyist's garage.

Well maybe, maybe not. I mean we didn't start out as humans, before that we were monkeys etc. all the way back to single celled organisms. It might be that we're trying too hard to replicate intelligent behavior rather than find the underlying principles of intelligence. For example take AlphaZero, it was based on AlphaGo Zero which played Go. But rather than being a dedicated engine with a lot of specific programming for Go it just as easily beat the best at chess and shogi.

Uber(!?) managed to pull off some impressive results with Go-Explore, a family of so-called quality diversity AI models. Open AI Five is constantly improving in DOTA, even though they're not playing the full game yet it's an open map with team play. Tencent is showing off some good Starcraft II play, even if they can't beat the best. DeepMind made some ass kicking Quake III Arena capture the flag bots. But is there some kind of supreme overlay that could evolve into all these AIs? I would say probably yes.

That's really the holy grail of AI, what is like the "spark" of intelligence that learns to learn. It's probably relatively simple once we can look at it in retrospect, it's not a lot of code to do one specific task. It's some kind of general pattern to create more complex, dedicated "sub-AIs" for specific tasks like we have different brain centers in the brain. That and a few billion years of evolution, but computers can get pull that off pretty quick if we can just figure out where we're supposed to start. It'll probably start by beating us at tic-tac-toe, not any of the above.

Progress

[JBMcB]

30 Years Ago:

Motorola's new 16-bit microcontroller has a whopping 16K of RAM, and 8 GPIO! You can use it to build robots, or home automation systems, or low-end general purpose computers...

Today:

Our new quad-core CPU, 128-core GPU is great if you want to build a speaker!