JetBlue passengers flying from Boston to Aruba can now present a new kind of boarding pass, one impossible to misplace: their faces. In lieu of handing over a paper ticket or summoning up a smartphone version, beach-bound commuters simply walk up to the gate and pause in front of a camera. There, biometric software compares it against databases of passport, visa, and immigration images. If the computer finds a match, a screen at the gate flashes a green check mark--the universal "go" sign meaning you're cleared to drag your wheelie bag and stuffed-animal pillow down the gangway. Biometric boarding probably wasn't what Xerox PARC chief technologist Mark Weiser had in mind when he coined the term "ubiquitous computing" in 1988.
Today I spoke at the WSJDLive global technology conference about cognitive and artificial intelligence (AI) technology, two nascent areas that I believe will be transformative to the industry and world. These systems also offer tremendous market opportunity and are on a trajectory to reach $46 billion in industry revenue by 20201. At Intel, we're pioneering in these areas with research and investments in hardware, data algorithms and analytics, acquisitions, and technology advancements. As part of this, today we announced that Intel will ship the industry's first silicon for neural network processing, the Intel Nervana Neural Network Processor (NNP), before the end of this year. We are thrilled to have Facebook in close collaboration sharing its technical insights as we bring this new generation of AI hardware to market.
As the year turns to autumn, we're less than a week away from the next Eurostaff Meetup, Better Machine Learning with Apache Ignite . Partnering with GridGain Systems, who created the first enterprise grade in-memory computing platform and datazuum business intelligence specialists with cutting edge advanced business analytics providing decision map, data strategy, analysis, reporting and more. The event will provide real life examples and show how Apache Ignite can be used for better data analysis. Alongside this, we'll discover exactly what the in-memory tool can provide users with and how it will quickly become an essential in any machine learning toolkit. If your machine learning knowledge is rough around the edges, it is essentially a field of science that gives computers the ability to learn independently, without the need for additional programming.
What if you could create an accurate summary of a lengthy article at the touch of a button? What if you could quickly scroll through a bibliography, filtered to show only the citations relevant to your needs? What if you could get your research out into the world faster, and have that knowledge built upon sooner? Science and technology are generating more data than ever faster than ever, so it's getter harder and harder to keep up and manage this information. Therefore, it's crucial to find ways to automate the discovery and interpretation of the information we need – and only that information.
The rise of artificial intelligence (AI) is set to change the way banks and financial services operate, as well as the way consumers approach their personal banking. Powerful AI can replace humans with machines, improve customer experience and provide simplified cost-effective solutions for businesses. AI is the science of creating intelligent machines and computer programs that can replace human tasks. Computer programs have vast capabilities to execute tasks quicker than humans can, with embedded algorithms that leave less chance to make human error. Robert Smith, Chairman and CEO of Vista Equity partners said at The World Economic Forum: "Since the invention of computers, we have envisioned that computer systems will take the best of what we think and deliver real time solutions that are more efficient.
ARTIFICIAL INTELLIGENCE could be making an appearance in your daily commute, as evidenced by emerging applications for the technology in urban environments such the latest development in Alibaba's "City Brain" initiative. Zheng Yijiong became the first ever traffic officer to blend the artificial intelligence with good old human intuition in order to improve and regulate traffic condition throughout the city, according to China Plus. Working in Hangzhou, the birthplace of Alibaba in the eastern Chinese Zhejiang Province, Zheng became a test case in the Hangzhou government's efforts to boost itself to smart city status. Zheng was trained for two months in the "City Brain" project's traffic initiatives which is aimed at bringing Alibaba's Ali Cloud artificial intelligence capabilities for real-time traffic predictions which could help police officers better organize and plan strategies. The predictions will come complete with video and image recognition technologies.
It will be the first of its kind among the autonomous vehicle market, as Nvidia race ahead and offer passengers an on demand service to take them to their destination and giving accessibility to everyone including elderly and disabled passengers. The technology making robotaxis a possibility is Nvidia's Drive PX AI platform, dubbed Pegasus, which delivers all the capabilities of a data centre in a supercomputer the size of a license plate. The size, cost and power demands of existing AI computing solutions, Nvidia claims, makes them impractical for production vehicles. The fleet will use ZF's ProAI self-driving platform for the vehicles, based on Nvidia's Drive PX AI platform.
China's e-commerce giant Alibaba has announced plans to invest more than $15 billion over the next three years in researching emerging technologies including artificial intelligence and quantum computing. Jack Ma, Alibaba's executive chairman, announced his decision to establish the Alibaba DAMO Academy (DAMO stands for Discovery, Adventure, Momentum, and Outlook) on the first day of the company's 2017 Computing Conference, which opened on Wednesday. Chinese tech companies are increasingly looking to invest in cutting-edge research, especially artificial intelligence (see "China's AI Awakening"). We want to turn the voice-based AI technology that powers Tmall Genie into a standardized system and a module that can be embedded in other devices.
Satya Nadella, CEO of Microsoft, outlined three technologies at the GeekWire summit on Wednesday which he believes are paving his company's path into the future: mixed reality, artificial intelligence and quantum computing. Microsoft already has mixed reality and AI applications throughout its products and services, but quantum computing is the "holy grail" of tech. He has been the key driver integrating AI throughout Microsoft's products and services, and hopes these efforts will keep Microsoft on the forefront of computing. Microsoft wants Azure to be the go-to destination for classical and future quantum computing needs.
The most promising concepts, which use AI to push the boundaries of their research, are granted AI and cloud computing resources on Microsoft's Azure platform. Microsoft said it's already awarded $235,000 in Azure computing resources to 20 successful AI for Earth applicants worldwide. "We are excited about our new AI for Earth grantees and our new EU Oceans Award, and look forward to expanding the success of the many projects we are supporting to better understand and manage Earth's many ecosystems, both on land and in the water." Microsoft will provide the accepted proposal with access to Azure services for IoT, data analytics and machine learning, enabling deeper research into the world's ocean environments.