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) …
Today, big data, that is generated exponentially every hour, becomes a treasurable asset to many organizations. To be competitive in a dynamic data-driven and Web-centric market, most of the high-tech companies such as Google, Apple, Intel, IBM, Microsoft, etc. employ big data analytics (BDA) to mine insights within their big data to drive productivity, effectiveness, and efficiency. On the other hand, artificial intelligence (AI) has grown rapidly from a nascent stage to intermediate one in the last decade. AI is a youthful field in Computer Science in building an autonomous machine that intends to replace humans with daily activities. Robots mimic human behavior and frequently perform dangerous tasks.
In the race to build the best AI, there's already one clear winner As Google, Facebook, Microsoft, and Baidu take turns leapfrogging each other in artificial intelligence innovation, one company stands to profit from any outcome: Nvidia. Graphics processor units, the company's biggest moneymaker, have become the industry standard for deep learning, a flavor of artificial intelligence widely used by tech companies to build personal virtual assistants, image recognition for tagging photos, and even the software behind self-driving cars. Despite talks from Microsoft and Google about developing their own proprietary chips, almost every major tech company is partnered up with Nvidia and uses its hardware. Last month, Microsoft announced a partnership to work with Nvidia's AI-tailored DGX-1 supercomputer, and Google's recently revamped cloud services will offer the option to run on Nvidia GPUs in 2017. Facebook's open-source Big Sur design for their server racks also rely on Nvidia hardware.
As Google, Facebook, Microsoft, and Baidu take turns leapfrogging each other in artificial intelligence innovation, one company stands to profit from any outcome: Nvidia. Graphics processor units, the company's biggest moneymaker, have become the industry standard for deep learning, a flavor of artificial intelligence widely used by tech companies to build personal virtual assistants, image recognition for tagging photos, and even the software behind self-driving cars. Despite talks from Microsoft and Google about developing their own proprietary chips, almost every major tech company is partnered up with Nvidia and uses its hardware. Last month, Microsoft announced a partnership to work with Nvidia's AI-tailored DGX-1 supercomputer, and Google's recently revamped cloud services will offer the option to run on Nvidia GPUs in 2017. Facebook's open-source Big Sur design for their server racks also rely on Nvidia hardware.
SALT LAKE CITY, UT--(Marketwired - Nov 14, 2016) - SC16 -- To help companies join the AI revolution, NVIDIA today announced a collaboration with Microsoft to accelerate AI in the enterprise. Using the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure or on-premises, enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every industry has awoken to the potential of AI," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "We've worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business."
A stunning third-quarter earnings report from Nvidia (NVDA) recently was lost in the epic Silicon Valley dread over the GOP election victory. That's too bad, because the graphics chip maker's triumph exemplifies why the left coast is wrong to obsess about presidents. While many American technology companies are well aligned for future demands, few are as well positioned in as many critical markets as Nvidia. From high end chipsets for video gaming to deep learning servers for data centers to lunch pail sized super-computers for self-driving cars, the Santa Clara maker of graphics processing units, or GPUs, is the favorite choice of companies looking for state-of-the-art gear. Nvidia is winning because, like much of the rest of top U.S. technology makers, it took smart risks ahead of its peers, and builds the best stuff.
Apple announced today that it will be opening up Siri to third-party developers through an API, giving outside apps the ability to activate from Siri's voice commands, and potentially endowing Siri with a wide range of new skills and datasets. The move follows similar announcements by Amazon, Google, Facebook, and Microsoft, all of which are betting that voice commands and chatbots will be one of the next big computing paradigms. Unlike the Amazon Echo, which now integrates with 1,000 different third-party services, Siri has remained a fairly closed-off service since its launch. While it was basically a non-entity in the space until last year, Amazon's Echo has emerged as a massive hit, and has already racked up over 1,000 third-party integrations and skills.
NEW YORK – In a surprise move, Microsoft said Monday that it is buying LinkedIn for about 26.2 billion, a deal that could bring subtle but significant changes for the professional network's more than 430 million members. LinkedIn will remain an independent unit of Microsoft. It will keep its name, and current CEO Jeff Weiner will stay on and report directly to Microsoft CEO Satya Nadella. LinkedIn lets members network with other professionals, upload their resumes, catch up on career advice and search for jobs. For Microsoft, the deal presents an opportunity to cement itself as the tech company for the world's professionals, helping them find jobs, learn new skills and do their work.
Microsoft will also look for ways to combine Microsoft's software for workers with the information stored in LinkedIn's online professional network. Microsoft may also integrate its business software with LinkedIn's growing business of providing sales professionals with contacts and information to help make sales to large companies. Microsoft Corp., which is in Redmond, Washington, is paying 196 for each share of LinkedIn Corp., a 50 percent premium over the stock's closing price of 131.08 on Friday. LinkedIn's business and share price have been rocky recently.
CrowdFlower, the essential human-in-the-loop platform for data science teams, today announced its recent 10M venture funding. The investment round was led by Canvas Ventures, Trinity Ventures, and Microsoft. The capital will be used to fuel the adoption of CrowdFlower AI which combines training data, machine learning and human-in-the-loop in a single platform. "We've seen companies like Tesla and Uber build large data science teams and adopt AI and machine learning to solve billion dollar problems like driverless cars," said Lukas Biewald, founder and chief executive officer at CrowdFlower. "But we wanted to bring AI and machine learning within the reach of every business to attack million dollar problems such as classifying customer support tickets or generating customer insights from social data.