Nvidia Launches AI Computer To Give Autonomous Robots Better Brains (theverge.com)
An anonymous reader quotes a report from The Verge: At Computex 2018, Nvidia unveiled two new products: Nvidia Isaac, a new developer platform, and the Jetson Xavier, an AI computer, both built to power autonomous robots. Nvidia CEO Jensen Huang said Isaac and Jetson Xavier were designed to capture the next stage of AI innovation as it moves from software running in the cloud to robots that navigate the real world. The Isaac platform is a set of software tools that will make it simpler for companies to develop and train robots. It includes a collection of APIs to connect to 3D cameras and sensors; a library of AI accelerators to keep algorithms running smoothly and without lag; and a new simulation environment, Isaac Sim, for training and testing bots in a virtual space. Doing so is quicker and safer than IRL testing, but it can't match the complexity of the real world.
But the heart of the Isaac platform is Nvidia's new Jetson Xavier computer, an incredibly compact piece of hardware that's comprised of a number of processing components. These include a Volta Tensor Core GPU, an eight-core ARM64 CPU, two NVDLA deep learning accelerators, and processors for static images and video. In total, Jetson Xavier contains more than 9 billion transistors and delivers over 30 TOPS (trillion operations per second) of compute. And it consumes just 30 watts of power, which is half of the electricity used by the average light bulb. The cost of one Jetson Xavier (along with access to the Isaac platform) is $1,299, and Huang claims the computer provides the same processing power as a $10,000 workstation "AI, in combination with sensors and actuators, will be the brain of a new generation of autonomous machines," said Huang. "Someday, there will be billions of intelligent machines in manufacturing, home delivery, warehouse logistics and much more."
But the heart of the Isaac platform is Nvidia's new Jetson Xavier computer, an incredibly compact piece of hardware that's comprised of a number of processing components. These include a Volta Tensor Core GPU, an eight-core ARM64 CPU, two NVDLA deep learning accelerators, and processors for static images and video. In total, Jetson Xavier contains more than 9 billion transistors and delivers over 30 TOPS (trillion operations per second) of compute. And it consumes just 30 watts of power, which is half of the electricity used by the average light bulb. The cost of one Jetson Xavier (along with access to the Isaac platform) is $1,299, and Huang claims the computer provides the same processing power as a $10,000 workstation "AI, in combination with sensors and actuators, will be the brain of a new generation of autonomous machines," said Huang. "Someday, there will be billions of intelligent machines in manufacturing, home delivery, warehouse logistics and much more."
I apologize in advance for creating the robots that will destroy us.
Day of judgement is here. Brace yourselves!
I swear to you all.. it's like everyone read TMIAHM, and actually believes that if you hook together enough hardware, it'll magically become a sentient self-aware synthetic mind like Mike in the book. Sorry, doesn't work that way, and until we solve the riddle of sentience, all these 'deep learning algorithms' will always fall short of whatever expectations you might have, no matter how much hardware you throw at it.
in the near future possibly go wrong. ??
In the real world computers can't even drive a car which even the dumbest among us can do.
https://developer.nvidia.com/e...
TLDR: 10x better power efficiency than the TX2 and 20x the performance.
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It's 2018 and most of by lightbulbs use between 8 and 15 watts each and contain only a single LED. Yes this computer is energy efficient but lets ditch the anachronisms.
Will autonomous robots soon have robozombies going for their brains?
See subject. I am a fucking genius because I can run ping on linux not as root
Crazy right, but here I am able to do the impossiable
All you fags can't which is why you should run my incredible APK hosts file engine version 77.839#^#W*+++ now for linux
If you don't or disagree with me you are a fucking ne'er-do-well and I will fucking fuck your fucking face up
*cut to a shot of Professor X uncontrollably tumbling along a treadmill*
"Jean! Stop this crazy thiiiiing!"
Jensen Huang of Nvidia Corporation announcing today as part of an intensive company wide refocusing on AI Nvidia will now be "âZCyberdyne systems".
Jensen also announced a 7.5 billion dollar contract with US space command for an advanced missile defense systems.
A spokesman for Nvidia confirmed rebranding effort is expected to be completed by July 3rd.
It strikes me that any system for automating a robot that is relatively small and low power is likely to have great attributes for creating personal augmentation systems. The basic requirements of personal augmentation systems include analyzing the surroundings and increasing the person's situational awareness or responsiveness in some way. The only thing this is missing is the features required to deliver the feedback to the individual. Presumably, they aren't missing the outputs to help control devices augmenting personal actions.
Some augmented applications this could be great in include training in virtually any professional sport but especially outdoor ones, motorcycle helmets (especially in sports and off-road contexts), hunting (many hunters would shell out thousands for a full augmented reality system geared for hunting), snow skiing, guided aircraft repair activities, guided vehicle repairs in general, an EMT aide, controlling artificial limbs and exoskeletons, many military applications ranging from personal battlefield computers to personal warehouse and flight deck computers that could tie in with exoskeletons. All of these applications require realtime processing the live environment and presenting analyses and optimal plans based on that analysis and the goals of the tasks being performed to the user.
If we don't want to be replaced, we should stop trying to slow our replacement and instead speed the development of systems that help to make us less replaceable.
How about releasing the source under an Open/Free Source licence so all non Microsoft/Apple OSs can use your cards. That will help a lot more people than any AI will.
I got burned once (had to buy a new video board), will never buy anything with Nvidia until the above happens
Oracle Sparc M7 announced in 2014 and available in 2015 had 10 billion transistors.
Am I the only one who sees "Someday, there will be billions of intelligent machines in manufacturing, home delivery, warehouse logistics and much more." and translates that to "some day there will be billions of unemployed"?
Can someone PLEASE wake up those idiots and make them understand that ROBOTS do not buy PRODUCTS?
Artificial intelligence is just that - artificial (not real) intelligence.
We've been doing it ever since we invented writing, possibly even before. Writing something on paper is AI - it's memory not stored in a brain but on some artificial material.
Sentience, now, is another thing altogether.
Can we cut the hype now?