NVIDIA shows signs ... [2008 - 2017]

[Deleted member 2197]

June 27, 2017

Volkswagen is working with Nvidia to expand its usage of its artificial intelligence and deep learning technologies beyond autonomous vehicles and into other areas of business, the two companies revealed today.

VW set up its Munich-based data lab in 2014. Last year it pushed on with the hiring of Prof. Patrick van der Smagt to lead a dedicated AI team that is tasked with taking the technology into areas such as ‘robotic enterprise,’ or use of the technology in enterprise settings.

That’s the backdrop to today’s partnership announcement. VW wants to use AI and deep learning to power new opportunities within its corporate business functions and, more widely, “in the field of mobility services.” As an example, the German car-maker said it is working on procedures to help optimize traffic flow in cities and urban areas, while it sees the potential for intelligent human-robot collaboration, too.
...
This VW hookup is one part of a triple dose of automotive-themed news updates from Nvidia today.

https://techcrunch.com/2017/06/27/v...and-its-use-of-ai-beyond-autonomous-vehicles/

 

[Deleted member 2197]

Citing Nvidia’s deal with Volkswagen, Shapiro said AI is now being applied not just to vehicles (i.e. path planning), but also to a backend system where a data center crunches out traffic patterns, flows and driving behavior while looking for anomalies — figuring out the entire transportation ecosystem.

Luca De Ambroggi, principal analyst for automotive electronics at IHS Markit, agreed. “This is the power of Nvidia offering a well distributed and consistent ‘solution’ in different domains from the ‘edge’ up to the infrastructure," he said. "A lot of money (for the OEMs) stays in functionalities like predictive diagnostic, and maintenance, cybersecurity and traffic management.”

Previously some skeptics noted that Nvidia’s AI platform might be effective for research, but not necessarily for production cars. However, Nvidia appears to be defying those predictions.

http://www.eetimes.com/document.asp?doc_id=1331949&_mc=RSS_EET_EDT

 

[Deleted member 2197]

NVIDIA Tops MIT Tech Review’s List of World’s Smartest Companies
https://www.technologyreview.com/lists/companies/2017/

 

[manux]

The partnership includes an agreement to use Nvidia’s Volta GPUs in Baidu Cloud, as well as adoption of Drive PX for Baidu’s efforts in bringing self-driving cars to market in partnership with multiple Chinese carmakers. Further, Baidu and Nvivia will work on optimizations for Baidu’s PaddlePaddle open source deep learning framework for Nvidia Volta, and will make it broadly accessible to researchers and academic institutions.

https://techcrunch.com/2017/07/05/n...oss-cloud-self-driving-academia-and-the-home/

“Apollo is an important milestone for the automotive industry,” Qi Lu, Baidu’s chief operating officer, said yesterday at Baidu Create, the company’s inaugural artificial intelligence conference. “It is in essence the ‘Android’ of the autonomous driving industry, but more open and more powerful. Apollo is not solely Baidu’s. It belongs to everyone in the ecosystem. And as we and our partners contribute to the platform in our areas of specialty, we all gain more, with the results far greater than just our own.”

https://www.theverge.com/2017/7/5/15923966/baidu-apollo-self-driving-car-platform-ford-intel-nvidia

 

[Deleted member 2197]

AI Generates Songs to Resemble Kurt Cobain

creAIted, a Russian startup, released an EP with four songs entirely written by a neural network that resemble the lyrics of Nirvana frontman Kurt Cobain.
...
Using a GTX 1080 GPU and the cuDNN-accelerated TensorFlow deep learning framework, the team trained their language model on over 100mb of lyrics (from classics to today’s hits) to learn the morphology and general structure. They then passed in the information about the author of the text as a meta-parameter which in this project is Kurt Cobain. The researchers plan to release the related research paper in late-July.

https://news.developer.nvidia.com/ai-generates-songs-to-resemble-kurt-cobain/

 

[manux]

Audi announced Tuesday that its forthcoming A8 would be the first production vehicle to ship with a Level 3 self-driving feature onboard when it goes on sale next year, and now we know that Nvidia’s technology will be helping power the vehicle’s ‘traffic jam pilot’ autonomous capabilities. Nvidia’s going to be powering a lot in the new A8, in fact – the car has six Nvidia processors helping power not only traffic jam pilot, but also its infotainment system, virtual cockpit instrumentation and headrest tablets for backseat passengers on fully equipped models.

https://techcrunch.com/2017/07/12/n...ds-first-level-3-self-driving-production-car/

 

[Silent_Buddha]

6 NV processors per Audi A8? Not a bad haul even if it's a lower volume car targeted at the upper middle class. 9,521 A8/S8's sold in Europe and NA in 2016. The model has been in decline since 2011, and 2017 looks to be lower still (going by US sales numbers for the A8). Still I'd guess anywhere from 8,000-10,000 should move after it's launched, that's 56,000-60,000 processors (I'm assuming it'll be going into the S8 as well). Pretty good. And it's possible Level 3 self-driving may be enough to revitalize sales of the A8/S8 so that'd boost it even more, plus whatever it moves in the rest of the world (I imagine it's popular in the Middle East).

Regards,
SB

 

[Shifty Geezer]

AI Generates Songs to Resemble Kurt Cobain

As best I can hear, it's complete gibberish. Semantically empty. However, I don't know what Kurt Cobain's lyrics are like...

 

[Kaotik]

As best I can hear, it's complete gibberish. Semantically empty. However, I don't know what Kurt Cobain's lyrics are like...

http://www.azlyrics.com/n/nirvana.html There you go

 

[Shifty Geezer]

T'would appear the AI lyrics were spot on! Although I consider it cheating to pick such a low target. Don't give us poetry - give us accurate technical documentation on a software library the devs don't properly support.

 

[Alexko]

T'would appear the AI lyrics were spot on! Although I consider it cheating to pick such a low target. Don't give us poetry - give us accurate technical documentation on a software library the devs don't properly support.

This may be the product of at least two possible sequences of events:

Sequence 1:
Researcher A: "Hey, let's build an algorithm that learns from song lyrics and writes new ones in the same style!
Researcher B: "Cool idea!"
Researcher A: "I know, right? And then, let's test the algorithm with a songwriter we like!"
Researcher B: "Great! How about Kurt Cobain?"
Researcher A: "Yeah, I like him too!"
*Development, machine learning, song generation*
Researcher B: "Wow, this was such a great idea, it works really well!"
Researcher A: "Totally!"


Sequence 2:
Researcher A: "Hey, let's build an algorithm that learns from song lyrics and writes new ones in the same style!
Researcher B: "Cool idea!"
Researcher A: "I know, right? And then, let's test the algorithm with a whole bunch of different songwriters!"
Researcher B: "Great idea, that way we'll know it's robust!"
*Development, machine learning, song generation*
Researcher B: "Wow, this is complete gibberish. This project is a total failure."
Researcher A: *sigh* "Yeah. Well, we tried. Man, this is such a disappointment. The lyrics generated are so nonsensical they might as well have been written by Kurt Cobain!"
Researcher B "Hahaha, that's true!… Wait, I think I know how to salvage this project!"

 

[Deleted member 2197]

Tesla V100: Nvidia hands over first Volta computing cards to deep-learning researchers

Nvidia has handed over the first specimens of the Volta Calculation Card Tesla V100 to scientists who are researching in the field of artificial intelligence. These first 15 copies will be the starting shot for upcoming deliveries - Nvidia announced the introduction of the Volta GPUs (March 2017) for the third quarter of the year . Then, the DGX-1 Deep Learning Server is to be available with eight Tesla V100s - for 149,000 US dollars.

https://www.heise.de/newsticker/mel...karten-an-Deep-Learning-Forscher-3781130.html
Guess some benchmarks will soon appear on the net.

 

[manux]

at Siggraph, Nvidia demonstrated that AI researchers can take advantage of Holodeck’s true-to-life physics to help reduce the cost and risk of training robots that interact with humans, while still being able to do practical experiments of robots interacting with humans. Holodeck offers a perfect environment for AI experimentation because it removes much of the risk from the equation.

Isaac on Holodeck lets developers load new algorithms into the robot and then hop into the VR environment to test its implementation. Thanks to Holodeck’s accurate physics and photorealistic visuals, AI researchers can experience with what it would be like to interact with the real robot. Following a successful test, researchers would be able to export the “AI brain” from Isaac and embed it into the real-world robot.

http://www.tomshardware.com/news/ai-robot-training-isaac-holodeck,35126.html

The company also announced that it is releasing a new performance driver for Titan Xp to enhance applications like Autodesk's Maya and Adobe Premier Pro.

Nvidia announced that it’s working with other vendors to bring Titan Xp and Quadro graphics cards to notebooks as external GPUs for creative professionals. Though external graphics chassis exist already, Nvidia wants to also have products that meet (and are certified for) accepted professional standards for operation and performance.

http://www.tomshardware.com/news/nvidia-titan-xp-quadro-external-gpus,35123.html

 

[Scott_Arm]

AI Generates Songs to Resemble Kurt Cobain

https://news.developer.nvidia.com/ai-generates-songs-to-resemble-kurt-cobain/

The future of top 40 shit music.

 

[Deleted member 2197]

The future of top 40 shit music.

I have a feeling we'll be saying the same once our jobs are replaced with AI.

 

[Freemantle]

NVIDIA Announces Earnings Of $2.2 Billion For Q2 2018

For the second quarter, ending July 30, NVIDIA reported revenues of $2.23 billion, up 56% from a year ago. Gross margin was up half a percent as well to 58.4%. When revenue is up, and margins are up, it should perhaps not be a shock that operating income also jumped, in this case to $688 million, which is up 117% compared to Q2 2017. Net income was $583 million, up 123% year-over-year, and that resulted in earnings per share of $0.92, up 124% from the $0.41 a year ago.

Sometimes these large jumps can be attributed to write-downs or other charges in the compared quarter, but in fact Q2 2017 was also a record for the company, after they took a write down charge for the Icera modem division two years ago.

http://www.anandtech.com/show/11711/nvidia-announces-earnings-of-22-billion-for-q2-2018

 

[Geeforcer]

It's still hard to fathom how once ATI and NVidia were roughly the same size when AMD (who at the the time dwarfed both) bought the former; how the companies came into parity again and now Nvidia is a much larger company, to the tune of $1B per quarter. All the more so considered all the ink spilled at the time regarding the dim prospects of Nvidia's survival in the face of CPU-GPU competitive paradigm they could not match.

 

[bdmosky]

To me it shows Nvidia's adaptability and forward thinking. Investing in ARM processors may not have been profitable for mobile, but they found a market where it was. Meanwhile, AMD and Intel both missed the mobile market and Intel may be too late for automotive as well (although this market is new enough a lot could change).

 

[Shifty Geezer]

It's never too late. Look at how AMD has managed to come back with a great CPU option and is gaining market share. Conceptually impossible considering Intel had way more money to invest in R&D and the best fabs in the world. Intel, or AMD, or anyone, could yet usurp nVidia in the Automotive space.

 

[bdmosky]

And mobile? Intel and NVidiaNVidia have effectively abandoned it. Not too late?