Imagine Wolfgang Amadeus Mozart as an algorithm. At our annual GTC Technology Conference in May, our video from the keynote, titled "I Am AI," featured music that was composed by AI itself. To accomplish this, we enlisted the help of Pierre Barreau and his startup, Aiva Technologies, which uses deep learning to create music. Barreau credits growing up in a "family of artists" as his reason for wanting to bring AI into music. "I'm a self-taught pianist and I also studied computer science at university," Barreau said in conversation with AI Podcast host Michael Copeland. "So basically, I got this idea of using my technical background and my musical background and bringing them together to build this artificial intelligence." How AI Makes Music The process for using AI in music composition is as follows: The algorithm will compose themes, which may or may not be curated, depending on the client's briefing. The algorithm can also be trained to create different themes if the client wants something different. This quick turnaround is made possible because of how fast the system can compose themes. An algorithm can create a theme in four minutes, Barreau said. However even music composed by an AI system faces some of the same barriers faced by human composers, because it must be played by humans. By listening to great music, however, the AI has learned how to work within our human limitations. "Essentially, you could create a lot of different compositions where human players wouldn't be able to stretch their hands," Barreau said. "Indirectly, the algorithm learns those features because the compositions that it learns from were created by humans that have these constraints." Beyond scoring videos, Barreau hopes Aiva can solve "use-cases that humans alone cannot solve."
These simulators, most recently announced by Nvidia as a project called Isaac's Lab but also pioneered by Alphabet's DeepMind and Elon Musk's OpenAI, are 3D spaces that have physics just like reality, with virtual objects that act the same way as their physical counterparts. "We imagine that one of these days, we'll be able to go into the Holodeck, design a product, design the factory that's going to make the product, and design the robots that's going to make the factory that makes the products. Alphabet's DeepMind has had similar ideas: The AI research lab is most well-known for applying its AI to games, notably AlphaGo, which continues to beat human world-champions at Go, but also building AI that beats video games like Atari and Starcraft. While Nvidia's Isaac's Lab is meant to help build robots and products that do specific tasks in the real world, DeepMind's Lab is geared more towards research, or finding ways to build AI that can learn about its surroundings with little input.
That downright dwarfs Pascal's flagship data center GPU, the Tesla P100, which packs 15 billion transistors and 3,840 CUDA cores running at a slightly faster 1,480MHz maximum clock speed. Nvidia's GeForce GTX 1080 Ti is the most powerful graphics card ever, capable of no-compromises 4K gaming. Like the Radeon Fury series and AMD's imminent Radeon Vega graphics cards, this data center GPU includes high-bandwidth memory technology--16GB of second-gen HBM2, in fact, with peak speeds of 900GB/s. By comparison, plus-sized GPUs found in Radeon's Fury cards and recent high-end GeForce chips clock in at roughly 600mm.
This is all standard fare for streaming boxes, but where the Fire TV ups its game is with its Alexa Voice Remote, which not only lets you search for content via voice control, but also brings Amazon's Alexa assistant technology into your living room. Running Android 7.0, the device also has access to the Google Play store for more apps, music, movies and television downloads. Second, other programming heavyweights aren't playing by Apple's rules, which means Netflix and others aren't participating in the TV app, there is no Amazon Video app whatsoever, and Xfinity isn't taking part in Apple TV's Single Sign-on feature, a great system that lets cable subscribers log into the box just once to access all sorts of streaming content. Eschewing TiVo's standard monthly subscription fees for a $399 price tag, the Roamio OTA can play live network television, record broadcasts of your favorite shows, and stream from popular services like Netflix, Amazon Video, and Hulu.
This year's Game Developers Conference (GDC) set the battleground for another skirmish between long-time Graphics Processing Unit (GPU) foes AMD and NVIDIA. Because this event was held during the Game Developers Conference (GDC), developer tools were an appropriate topic. The "Ti" brand is a traditional NVIDIA mid-life "kicker" product, but with the company's 35% nominal performance increase, this version is the company's most aggressive Ti product yet. The big push for higher performance could be because NVIDIA is anticipating AMD's higher GPU performance with the Vega architecture and wanted to preemptively counter it.
NVIDIA Corporation (NASDAQ:NVDA) announced its fourth-quarter earnings last week, and this has gotten many investors excited about the company's future growth potential. In the era of artificial intelligence (AI), NVIDIA's Graphics Processing Unit (GPU) platform has emerged as the dominating force buoying NVDA stock. The record revenue posted during the fiscal quarter was boosted by the impressive growth in its "Gaming," "Professional Visualization," "Datacenter," and "Automotive" divisions, The quarterly revenue stood at $2.2 billion, which was an increase of 55% year-over-year and eight percent sequentially. Revenue from the gaming platform was a record $1.35 billion, rising at 66% year-over-year and up eight percent from the third quarter, as gamers continued to upgrade to the new "Pascal"-based GPUs and investors pushed NVDA stock prices higher.
It gives us a unique position in our growth markets -- gaming, virtual reality, data center and self-driving cars -- and allows us to tackle the most challenging computing problems in the world. The single largest game platform, PC gaming doubled to $31 billion over the last five years. The global HD mapping services adopted NVIDIA MapWorks for map processing and live map updates in the car. The DRIVE PX AI car supercomputer does continuous mapping.
Part of the company's success can be attributed to its strong execution in design and delivery of its core GPU products in the key markets of gaming, artificial intelligence, virtual reality and the data center, of course. As a result, the company has demonstrated how the AI, powered by Nvidia's Tegra X1 processor in Shield, can enable powerful extensions of the technology beyond just handsets and into IoT smart home and smart media streamer applications. Having recently been granted a permit in the state of California to test its self-driving car technology on the roads, the company appears well-positioned for design win traction for its Drive PX2 platform, which is powered by a pair of Nvidia Tegra processors and a pair of Pascal GPUs, that the company claims is like putting 150 MacBooks in your trunk for autonomous driving brain power. Now with significant traction in broad consumer applications, like gaming and media streaming, virtual reality, smart homes and self-driving vehicles, Huang's leadership at Nvidia has steered the Silicon Valley bellwether toward emerging growth markets and opportunities that extend beyond its already lucrative core gaming markets.
Today, we've announced partnerships with Japan's Zenrin, which maps roads in Japan, and HERE, to integrate NVIDIA technology into their datacenters for mapping., and HERE, to integrate NVIDIA technology into their datacenters for mapping. We're now announcing a new capability on the NVDIIA AI car computer called AI Co-Pilot. It shows a tricked out black Lincoln Continental, with NVIDIA green highlights, loaded with NVIDIA's DRIVE PX AI car supercomputer. There are a billion cars on the road, 20 million rides a day, 300 million trucks traveling 1.2 trillion miles a year and 500,000 buses in operation.
We expected to see artificial intelligence (AI), home and vehicle automation, smarter devices, augmented and virtual reality, and IoT to dominate at CES 2017. In addition to new products in the usual consumer device categories like video game tech, TVs, and audio equipment we're seeing loads of the new trending technologies being showcased and it's clear that Christmas is not over at CES 2017. For the gamers, Nvidia announced the GeForce Now – a cloud service that enables games to run in the cloud instead of locally on a computer. In terms of artificial intelligence, Huang served up a double shot of awesome launching the new Shield, Nvidia's upcoming full 4K and HDR media streaming device harnessing the artificial intelligence of Google Assistant.