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Sundar Pichai Sees Google's Future in the Smartest Cloud

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In other words, he hopes the new chip and the new service will set Google's cloud business apart from services offered by its main rivals, including Amazon and Microsoft, the unnamed competitive threat underlying his I/O keynote. Between its two AI labs--Google Brain, based at company headquarters in Silicon Valley, and DeepMind, a London AI startup Google purchased a little more than three years ago--Google is leading the new wave of artificial intelligence research and development so rapidly changing entire industries and economies. But the company believes cloud computing--where computing power is rented over the internet to businesses and software developers--could one day bring in far more. Google built its new chip as a better way of serving its own AI services, most notably Google Translate, says Jeff Dean, the uber-engineer who oversees Google Brain, the company's main AI lab.


Embracing Machine Learning - You've Dipped Your Toes in the Cloud, Now Dive into Data

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Machine learning, or the use of algorithms to automate pattern recognition, allows software to interpret the data enterprises have collected to understand what the information means, and even what actions to take. Google says welcome to the Cloud 2.0 by Sharon Gaudin Amazon Web Services might be the leading cloud provider, but Google plans to take over in the data analytics space. In her ComputerWorld article, Sharon Gaudin discusses senior vice president for Google's cloud business Diane Greene's position on the company taking data and analytics from the cloud and providing insights on what can make businesses even better. Machine Learning for Your Cloud Too DivvyCloud uses machine learning in the form of Cloud Automation Bots.


The Cloud Is Bringing Machine Learning Forward

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The most recent example of this development is the announcement made in March from Google, making available the company's Cloud Machine Learning platform. The Google announcement essentially opened up the Cloud Machine Learning platform to all interested developers. As can be seen by Cloud Machine Learning, even small companies can take advantage of a machine learning platform that aids developers in creating intelligent applications. Amazon Web Service's cloud offering of machine learning was also made available the following year.


Mellanox Announces ConnectX-5, the Next Generation of 100G InfiniBand and Ethernet Smart Interconnect Adapter

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ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "Dell and Mellanox are long-time partners, delivering Dell HPC Systems utilizing Mellanox InfiniBand, including the recently announced one petaflops system at the Center for High Performance Computing in South Africa," said Jim Ganthier, vice president and general manager, Engineered Solutions, HPC and Cloud, Dell.


Artificial intelligence and other computer systems will change benefit advising

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Now that we have AlphaGo, Google's computer program designed to beat humans at Go, do we need to rethink the "technology doesn't always beat labor" proposition? In March this year, a frontier in artificial intelligence was reached, with humanity cheering Korean Go grandmaster Lee Sedol when he won his first game against AlphaGo, Google DeepMind's artificially intelligent computing system, after losing three straight games. Machines gaining the ability to seek and respond to meaningful patterns -- closer to human intuition, closer to what it means to think. It is getting into practical applications such as speech recognition, face recognition and pattern recognition to identify objects and scenes.


Google Builds Custom Processors for Machine Learning

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The program was running on custom accelerators that Google's hardware engineers had spent years building in secret, the company said. The company, which has previously used graphics processors for machine learning, has been running TPUs inside its data centers for over a year, Jouppi said. While graphics and computers chips carry out all the same tasks as they normally would, the TPUs handle all the exhaustive calculations required by Google's machine learning software. However, Google's ASICs can perform the exhaustive calculations required by machine learning more efficiently than many FPGAs and microprocessors.


Pepper the robot needs U.S. programmers

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Its manufacturer, SoftBank Robotics, is opening new offices in San Francisco and releasing a development kit for Android programmers. Tech leaders ranging from Google CEO Sundar Pichai to Amazon founder Jeff Bezos have said recently that devices that we currently use will disappear from our hands, replaced by all-hearing and doing bots that are connected to Internet. Technology increasingly is moving from a user-input model -- where we type or tap our requests of computers-- to one anchored to users interacting with artificially intelligent machines that leverage cloud computing power to interpret and even anticipate our voice commands or gestures. SoftBank Robotics, which developed Pepper in conjunction with French company Aldebaran Robotics, expects to use its new offices near Silicon Valley to stay closely connected with tech companies whose evolving work with cloud computing and machine learning are integral to any robot's development.


Microsoft researchers smash homomorphic encryption speed barrier

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Exclusive Microsoft researchers, in partnership with academia, have published a paper detailing how they have dramatically increased the speed of homomorphic encryption systems. With a standard encryption system, data is scrambled and then decrypted when it needs to be processed, leaving it vulnerable to theft. But, in a new paper, Microsoft says it's made a huge leap forward in speed – and applied the encryption system to deep-learning neural networks. The paper's abstract explains how this technology could be used in the cloud to process encrypted data without needing the decryption keys: The key to Redmond's approach is in the pre-processing work.


How NVIDIA Could Dominate Machine Learning -- The Motley Fool

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Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google, Amazon, and Facebook (NASDAQ:FB) are just a few. Meanwhile, its data center revenue, which includes its GPU sales for cloud-based and machine learning services brought in just 143 million in the quarter. I don't expect NVIDIA's revenue to spike from GPU sales for cloud-based machine learning, but rather steadily increase as the company builds out its data center segment. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon.com, The Motley Fool recommends Intel.


Perpetuuiti

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Av3ar is the next generation Cognitive Computing and Machine Learning system from Perpetuuiti. Av3ar is the next generation Cognitive Computing and Machine Learning system from Perpetuuiti. Av3ar uses Artificial Intelligence (AI) and Machine Learning algorithms to sense, predict, analyze and solve issues. It responds to customer chat inputs with voice responses and also read and understand their emails and provide email resolutions, using Artificial Intelligence.