If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
At this year's CES 2017, NVIDIA's CEO Jen-Hsun Huang presented in the CES opening keynote his vision for the company's future to the audience, explaining where he believes the company will succeed in the future. I also liked that Huang simplified AI and graphics so more could understand it. Of the areas where NVIDIA participates in right now, two areas of growth for the company are gaming and automotive, both of which are growing and getting quite competitive. While NVIDIA is still a relatively new entrant into the automotive business, the company has proven that they can keep up with the legacy suppliers and surpass them by delivering innovative automotive solutions. NVIDIA's leadership in technologies like DNN AI training have proven to be a valuable resource for the company and their partners who are looking to apply machine learning to their own products.
Nvidia Corp. was on a victory lap at CES 2017 after recording monster stock growth in 2016, but it wasn't all horn-tooting. The company also unveiled new business plans that it hopes will maintain its stock momentum through the next few years. Clad in his token black leather jacket, Nvidia NVDA, 1.34% CEO Jen-Hsun Huang made three noteworthy announcements on the CES keynote stage in Las Vegas earlier this week. The first few were in Nvidia's traditional terrain: gaming, where its graphics processing chips have been used in high-powered videogames. But the other two focused on its newer operating segments: artificial intelligence and driverless cars, where it hopes to squeeze out even more juice over the long term.
Nvidia might be most famous as a manufacturer of computer graphics cards, but the company has been increasingly turning its attention to the automotive market over the past few years. This CES, it detailed new moves that will move it even further into the market: partnerships with suppliers ZF and Bosch that will see it making parts for automatic cars, and an expanded deal with Audi that will see the companies bring a proper self-driving vehicle to market by 2020. Audi and Nvidia have worked together before, but the new partnership, announced by Nvidia CEO Jen-Hsun Huang on stage at CES 2017, will see the companies working to produce a "Level 4" automatic vehicle -- that means a car capable of driving entirely on its own. As an early proof of concept, the two companies have already collaborated on a experimental self-driving Q7 SUV. Nvidia says the car -- which is on display at CES -- learned to drive itself in just four days, using its AI technology.
Health care doesn;t have a big data problem. It has a big data opportunity, thanks to artificial intelligence. Think about the number of inefficiencies in your daily life -- long lines, traffic jams, a reliance on;snail mail; for certain bills or communications. Those inefficiencies are inconvenient and annoying, yes, but they are usually not a matter of life and death. The need for productivity in health care is different.
Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.
At NVIDIA's CES 2017 keynote address, CEO Jen-Hsun Huang announced his company's plan to turn your car into "your most personal robot." Specifically, Nvidia announced the company's AI car supercomputer called the Xavier -- an auto-grade, 512 core Volta GPU and AI platform that's capable of learning how to drive by watching a human driver. To show it off for the CES crowd, Nvidia installed Xavier in an autonomous Lincoln called BB8 and let it loose on the streets of Silicon Valley. What sets Nvidia's Star Wars-inspired vehicle apart is that it learns on its own through observation and deep learning, backed up with HD map data in the cloud. According to Huang, this lets the vehicle figure out how to adapt to constantly changing real world conditions or learn tricky situations like how to navigate down a narrow, overgrown driveway.
At CES, ZF, one of the largest automotive parts supplier, launched its "ProAI" self-driving solution for vehicle manufacturers. The solution is based on Nvidia's Drive PX 2 computing platform for self-driving cars. ZF is the first tier 1 car parts supplier to use Nvidia's Drive PX 2 system. However, Nvidia announced previously that the system is also powering Tesla's Autopilot 2.0 hardware, which will be in newer Model S and Model X cars, as well as in the Model 3. It seems that the Drive PX 2 is already getting the seal of approval from important players in the autonomous vehicle market. The Drive PX 2 computing platform is available in multiple configurations.
Companies invested billions of dollars in AI research and development. Machines ingested trillions upon trillions of pieces of data to train themselves to be experts in fields such as healthcare, financial services and customer service. 1 By all accounts, 2016 proved to be a major year for artificial intelligence. We asked AI experts to weigh in … 4. 3 What advances in AI do you predict will happen in 2017? 5. "From the hardware side of things, we will start seeing embedded devices with specialized architectures for running neural nets. Those things will pop out in self-driving cars, vacuum cleaners, maintenance robots, smart cameras, etc. Yann LeCunn Founding Director of NYU Center of Data Science Director of AI Research, Facebook 4 More Information 6. "5% of all new enterprise apps will have some form of AI in 2017 and 50% by the year of 2021." Patrick Moorhead Founder, President and Principal Analyst Moor Insights and Strategy 5 More Information Powerful partnerships are already in place to accelerate AI in the enterprise.
There's a race to put more computing power in self-driving cars, and it's shaping up to be eerily similar to an earlier battle between Intel and AMD to crank up PC horsepower. Intel at CES announced the powerful Go computer with up to 28 Xeon chips so self-driving cars can cruise the streets safely. Beyond Xeon, Go will also be available with either next-generation Atom chips or 5G connectivity. The first 40 self-driving BMW cars based on the Go will hit the streets in tests this year. Autonomous cars need a lot of computational power under the hood to avoid accidents and make smart driving decisions.
Baidu, often called the "Google of China," is rarely mentioned outside of technology circles in the US, but it's a search-engine giant with 2015 revenues of $10.2 billion. The Beijing, China-based company was founded in 2000 by Robin Li, currently Baidu's chairman and CEO. Baidu stepped up its research and development investment in 2015 to $1.6 billion, a 46 percent increase from 2014, with an increased focus on artificial intelligence. "AI is very much baked into the DNA of the company. Recent advances of AI have accelerated our progress and the impact that AI can have," said Andrew Ng, vice president and chief scientist at Baidu.