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The future is quantum: Microsoft releases free preview of Quantum Development Kit - The AI Blog

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So you want to learn how to program a quantum computer. Now, there's a toolkit for that. Microsoft is releasing a free preview version of its Quantum Development Kit, which includes the Q# programming language, a quantum computing simulator and other resources for people who want to start writing applications for a quantum computer. The Q# programming language was built from the ground up specifically for quantum computing. The Quantum Development Kit, which Microsoft first announced at its Ignite conference in September, is designed for developers who are eager to learn how to program on quantum computers whether or not they are experts in the field of quantum physics.


IBM's big quantum push: Samsung, Daimler sign up for 20-qubit test drive

ZDNet

IBM is ready to open the doors to the first customers for its commercial quantum-computing services. Sometimes the most profound solution is to change the entire problem. JPMorgan Chase, Daimler, and Samsung will be among the first group of businesses to gain access to IBM's new 20 quantum bit (qubit) IBM Q quantum system to help uncover commercial, industrial and scientific quantum computing applications. While IBM is playing catchup with artificial-intelligence breakthroughs made by Google, Microsoft, and Amazon, it has taken a lead in the race to build a practical quantum computer thanks to its recently demonstrated prototype 50-qubit processor. The companies joining the IBM Q Network gain access to the 20-qubit system, which is capable of producing qubits with a record 90 microsecond'coherence', the time a single qubit -- representing both 1 and 0 simultaneously -- survives in this state before dissolving into a conventional bit's single state of either 1 or 0. That means 50 qubits can represent more than one thousand trillion values.


Calling All AI Innovators – Join the 'Cloud AI Challenge' for a Chance to Win $25,000

@machinelearnbot

This post is authored by Vani Mandava, Director of Data Science at Microsoft Research. The AI revolution is poised to unleash unprecedented innovation and impact on our society. Several research and development groups across Microsoft have hit their stride in delivering world-changing impact through the power of AI. Working together, we are creating a comprehensive Microsoft AI platform and a set of AI services that will enable the next generation of intelligent applications that will augment human intelligence. The AI buzz has been impossible to miss at numerous conferences that Microsoft has participated in during the past year.


AI Is The Future Of Computing, And SingularityNET Is The Future Of AI

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What happens when you create an open AI marketplace that can learn from itself? Remember Sophia, the humanoid robot who was granted citizenship by Saudi Arabia? From the general media hubbub to the discussion surrounding the Saudi government's treatment of women's rights, the landmark event caused quite a stir across the web. But behind all that buzz, SingularityNET, whose artificial intelligence technology powers the robot built by Hanson Robotics, has been working to completely revolutionize web as we understand it. In some sense, the premise behind SingularityNET is fairly simple.


Re:Invent 2017: AWS all about capturing data flows via AI, Alexa, database, IoT cloud services

ZDNet

The days of Amazon Web Services as an infrastructure provider are over as the company--and its customers--are going server less and moving up the stack to be a machine learning, data management and artificial intelligence platform. At re:Invent, AWS CEO Andy Jassy was pitching his company to data scientists as much as IT pros deploying Internet of things tools and various databases. AWS CTO Werner Vogels was outlining his vision of computing in the future and it all revolved around data. "The quality of the data you have will be the differentiator," said Vogels. "Data will have a crucial impact on how companies change behavior and build new systems."


What being an "AI first" company means for Google

@machinelearnbot

Back at Google I/O, CEO Sundar Pichai outlined the company's vision as an "AI first" company, with a new focus on contextual information, machine learning, and using intelligent technology to improve customer experience. The launch of the Pixel 2 and 2 XL, the latest batch of Google Home products, and the Google Clips offer a glimpse into what this long-term strategic shift could mean. We'll get to Google's latest smartphones in a minute, but there's much more to explore about the company's latest strategy. As part of the Google I/O 2017 keynote, Sundar Pichai announced that the company's various machine learning and artificial intelligence efforts and teams are being brought together under a new initiative called Google.ai. Google.ai will be focusing not only on research, but on developing tools such as TensorFlow and its new Cloud TPUs, and "applied AI".


Why Intel is suddenly bullish on Artificial Intelligence - ET Telecom

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NEW YORK: There is no denying the fact that Artificial Intelligence (AI) is one phenomenon that has stood out among other emerging technologies. Sensing great possibilities, global chip giant Intel has now joined the AI bandwagon in a big way. AI is not new to the world of technology but the past five years have given AI believers a reason to cheer as its uses are increasing across industries - from health care to autonomous vehicles -- say AI experts at Intel. "AI capabilities are greatly supplementing humans to do great work in less time in sectors like healthcare, banking and finance, transport, energy and robotics, etc. It will be interesting to see how this whole AI thing evolves with time," Bob Rogers, Data Scientist, AI and Analytics, Data Center Group at Intel, told.


The curious case of AI in the cloud - ETtech

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By Alex Jamies, DigitalOcean We're living through the most significant technological shift in human history. Our smartphones are connected to thousands of computers and access terabytes of data, and whether we realize it or not, our lives are heavily impacted by algorithms- our news feeds, the products we buy, our food, our transportation, etc. The shift is significant, not so much because we have access to unlimited computational power and data, but rather, because a larger number of things is now measurable. The confluence of unlimited computational power and unlimited data, in conjunction with continuous advances in algorithms and hardware, mean that Machine Learning (ML) is the driving force of this major technological shift - and that is significant because computers will play an increasingly important role in our decision-making and ML in how the technology works. On one hand, measuring at scale allows Machine Learning algorithms to make better predictions which help individuals and businesses make decisions.


Artificial Intelligence is big on Intel's agenda: Here's why

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There is no denying the fact that Artificial Intelligence (AI) is one phenomenon that has stood out among other emerging technologies. Sensing great possibilities, global chip giant Intel has now joined the AI bandwagon in a big way. AI is not new to the world of technology but the past five years have given AI believers a reason to cheer as its uses are increasing across industries – from health care to autonomous vehicles – say AI experts at Intel. "AI capabilities are greatly supplementing humans to do great work in less time in sectors like healthcare, banking and finance, transport, energy and robotics, etc. It will be interesting to see how this whole AI thing evolves with time," Bob Rogers, Data Scientist, AI and Analytics, Data Center Group at Intel, told IANS here.


Nvidia hails a robotaxi with next step in AI computing

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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.