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) …
This is a graphics card created for the PC. VentureBeat's Blair Frank said "The new Titan V card will provide customers with a Nvidia Volta chip that they can plug into a desktop computer." Thursday marked its debut, positioned as "the world's most powerful GPU for the PC." CEO Jensen Huang did the introduction. The announcement took place at the annual AI gathering, the NIPS (Neural Information Processing Systems) conference. It can carry massive amounts of power and speed AI computation.
Looking for a way to turn your home computer into a deep-learning AI super-monster? Nvidia has an expensive answer. The new Titan V GPU promises a crazy amount of processing for deep learning and AI applications. It's nine times more powerful -- at 110 teraflops -- than last year's Titan X, Nvidia's last massive desktop graphics processor aimed at machine learning applications. The Titan V is based on Nvidia's newer Volta chip architecture, which is also being used in Nvidia's Xavier self-driving car system and for data centers.
To get a sense of computer scientist Naveen Rao, just take a look at his hands. The 42-year-old has busted all 10 of his fingers over a lifetime of skiing, skateboarding, bicycling, rollerblading, race-car driving, wrestling and hoops. He's not a clod; he's a risk taker who pushes physical and mental boundaries. On the mental side, he's trying to quicken the computer industry's move into a new age of artificial intelligence by creating chips and software inspired by the structure of the human brain. What sets Rao apart from others attempting the same thing is the fact that Intel last year bought his San Diego company, Nervana, for $400 million.
Lenovo has announced new hardware and software for firms building machine-learning systems, as the Chinese tech giant double down on AI. Lenovo expects firms will increasingly rely on AI systems to make rapid decisions based on the vast amount of data being generated, predicting will be 44 trillion gigabytes of data will exist by 2020. To serve the fast-growing market, Lenovo today announced new hardware and software for streamlining machine-learning on high-performance computer systems. The ThinkSystem SD530, a two-socket server in a 0.5U rack form factor, is now available with the latest NVIDIA GPU accelerators and Intel Xeon Scalable family CPUs. By including the option of adding NVIDIA's Tesla V100 GPU accelerator, Lenovo is giving businesses the ability to massively boost the performance of AI-related tasks.
We dug into the private market bets made by major computer chip companies, including GPU makers. Our analysis encompasses the venture arms of NVIDIA, Intel, Samsung, AMD, and more. Recent developments in the semiconductor industry have been sending mixed signals. Stories about Moore's Law slowing have grown common, but analysts affirm that the latest crop of chips (specifically Intel's newest 10-nanometer technology) prove Moore's Law is still alive and well. Meanwhile, the vast application of graphics hardware in AI has propelled GPU (graphics processing unit) maker NVIDIA into tech juggernaut status: the company's shares were the best-performing stock over the past year.
Intel CEO Brian Krzanich speaks at a 2016 AI event. Intel might be an old-school computing company, but the chipmaker thinks the latest trends in artificial intelligence will keep it an important part of your high-tech life. AI technology called machine learning today is instrumental to taking good photos, translating languages, recognizing your friends on Facebook, delivering search results, screening out spam and many other chores. It usually uses an approach called neural networks that works something like a human brain, not a sequence of if-this-then-that steps as in traditional computing. Lots of companies, including Apple, Google, Qualcomm and Nvidia, are designing chips to accelerate this sort of work.
Nvidia wants to make it easier for automotive companies to build self-driving cars, so it's releasing a brand new supercomputer designed to drive them. The chipmaker claims its new supercomputer is the world's first artificial intelligence computer designed for "Level 5" autonomy, which means vehicles that can operate themselves without any human intervention. The new computer will be part of Nvidia's existing Drive PX platform, which the GPU-maker offers to automotive companies in order to provide the processing power for their self-driving car systems. Huang announced Nvidia will soon release a new software development kit (SDK), Drive IX, that will help developers to build new AI-partner programs to improve in-car experience.
What sets Rao apart from others attempting the same thing is the fact that Intel last year bought his San Diego company, Nervana, for $400 million. The Google cat project in 2012 was carried out on 16,000 Intel central processors inside Google's vast "farms" of computer servers. When Nvidia found out hedge funds and others were using its chips for deep learning, it made a quick strategic move: tailor its chips and develop software tools to support neural networks. In 2016, it acquired Movidius, a Silicon Valley company that specializes in making smart vision chips for consumer devices, including drones.
The chips are made by the Silicon Valley company Nvidia. Health care applications like the one CTA is pioneering are among Nvidia's many new targets. The company's chips -- known as graphics processing units, or GPUs -- are finding homes in drones, robots, self-driving cars, servers, supercomputers and virtual-reality gear.
We dug into the private market bets made by major computer chip companies, including GPU makers. Our analysis encompasses the venture arms of NVIDIA, Intel, Samsung, AMD, and more. Meanwhile, the vast application of graphics hardware in AI has propelled GPU (graphics processing unit) maker NVIDIA into tech juggernaut status: the company's shares were the best-performing stock over the past year. Also included in the analysis are 7 chip companies we identified as active in private markets, including NVIDIA, AMD, and ARM.