i am ai

VISIONARY

I am a visionary exploring a universe of data to sharpen our view of the most distant galaxies studying black holes to help proof Einstein’s theory of gravitational waves.

HEALER

I am a healer giving doctors power to mountains of data into life-saving break identifying diseases like leukaemia from simple drop of blood even in our own home and find a new way for cures to market faster.

PROTECTOR

I am a protector keeping our ocean safe from invasive species and helping our crops flourish while minimizing pesticide.

HELPER

I am a helper assisting customers in stores and the disabled in their homes.

NAVIGATOR

I am a navigator mapping our world one millimetre at a time and making even the largest self-driving vehicles safer for the long haul.

CREATOR

I am a creator learning to paint from the master and applying their styles to create original works of art.

TEACHER

I am a teacher analyzing half a million players every game to identify strengths and weaknesses.

LEARNER

I am a learner discovering new strategies from complex keys.

COMPOSER

I am even the composer of the music you’re hearing.

i am ai.. brought to life by Nvidia deep learning.

How We Used AI in a Video That Tells the Story of AI

I am AI. With those words, AI revealed itself Wednesday at our GPU Technology Conference as a technology that can not only change the world, but create a soundtrack for its own technology revolution.

For thousands of years, of course, storytellers have relied on music to turn moments into magic. So what happens when, in a twist, the music that sends your imagination soaring is itself part of the story?

We found out Wednesday, when we revealed that the inspiring music for the video introducing the keynote at GTC was generated by the very technology we had gathered to talk about.

Unleashed by the parallel processing power of GPUs, a new generation of neural networks are giving machines superhuman capabilities. AI can now classify galaxies, help the blind see, drive our cars and even help us find cures for diseases that have long plagued mankind.

How Far We’ve Come

None of this is news to our audience, many of whom helped build the technology powering these miracles. So to keep these marvels from seeming mundane, Eric, our senior video producer, realized we needed a stirring soundtrack — and a surprise — to put the magic of our shared endeavors into perspective.

So Eric’s team turned to Aiva Technologies, a Luxembourg startup led by Pierre Barreau that’s using GPUs to compose music. An amateur pianist, Barreau — who grew up watching his father work in music and movie production — knows, intuitively, how key music is to storytelling.

We couldn’t have been in better hands — virtual or not. Aiva’s deep learning system is the first to officially acquire the legal recognition as a composer. All of its work has a copyright to its own name. Just like any human music maker.

Classically Trained

To make music — human musicians have already recorded an entire album of Aiva’s work — the four-person startup relies on CUDA, TITAN X Pascal GPUs and cuDNN with the TensorFlow deep learning framework.

That framework is classically trained, literally. Aiva’s been fed a database of work that includes Bach, Beethoven and Mozart.

For our score, Barreau set Aiva to work generating melodies in A minor — a key that sounds either sad, or, with skilfull pacing, soaring — then curating the result. In the end, we liked their collaboration so much we commissioned Barreau to assemble a 45-piece orchestra to record his AI’s creation last week.

The result, we hope, gives those gathered at our conference the ability to wonder, anew, at what they have wrought.

https://blogs.nvidia.com/blog/2017/05/10/i-am-ai/

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The China-based search engine company that is often compared to Google, made the announcement last week at its world conference event in Beijing. The firm hopes to use the technology to create its own taxi fleet. The two companies also plan to offer their AI system to automakers, who could employ it to add autonomous capabilities to their own automobiles.

Baidu and Nvidia’s future autonomous AI system will be open to other automakers Jen-Hsun Huang, CEO of the Santa Clara, California-based tech company said that the two firms will collaborate to combine their individual technical capabilities to build a new autonomous architecture from scratch. While the primary purpose of the project is to introduce self-driving taxis in the mainland, the software applications would be numerous as the pair plans to make their technology open for other car companies to customize it for their own self-driving efforts.

According to Tech Crunch, Baidu and the U.S. chip maker will be creating an end-to-end solution, which is going to be available for branded vehicles OEM consumer automobile offerings, as well as other fleets of autonomous commercial cars. The platform will be fully open, which means the two firms are hopeful that automakers will come on board.

The announcement comes after Baidu received approval last week from regulators to begin testing its self-driving vehicles on California’s public roads, where Ford, Tesla, and Google, among others, are testing their self-driving automobiles. The Wall Street Journal notes that the Beijing-based Internet company is already testing autonomous vehicles in the mainland and has said it has plans to mass produce them within five years.

Baidu is set to collaborate with Nvidia Corporation on a comprehensive AI-driven self-driving car platform. Huang said that the collaboration will bring together artificial intelligence expertise, technical capabilities, and the skills of two world-class firms. The platform’s algorithm-based OS will include cloud-based, high-def maps and the capability to perceive and react to various road environments.

PC Magazine notes that Nvidia and Baidu have concrete plans to sell their self-driving AI system to China-based car makers. While the Alphabet subsidiary has been testing its own autonomous system on California roads and elsewhere for a couple of years, it has been a little slow in announcing its overall plans to market the tech.

The project will be based on the chip maker’s existing autonomous computing system, and will add automated parking, level 3 self-driving control, and mapping tech. Level 3 refers to vehicles that can drive themselves, but need a human driver to take over in certain situations.

Nvidia and Baidu’s collaboration will see both firms working together to develop an AI platform for self-driving vehicles. The partnership hopes to deliver a cloud-to-car architecture system that promises to get self-driving vehicles on the road in the next several years. The announcement also comes two weeks after China’s leading search engine revealed a joint $150 million investment with Ford in automotive supplier Velodyne.

By Anila Maring
https://cdanews.com

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