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Microsoft AI News

Microsoft unveils Project Brainwave for real-time AI

At Hot Chips 2017, our cross-Microsoft team unveiled a new deep learning acceleration platform, codenamed Project Brainwave.  I’m delighted to share more details in this post, since Project Brainwave achieves a major leap forward in both performance and flexibility for cloud-based serving of deep learning models. We designed the system for real-time AI, which means the system processes requests as fast as it receives them, with ultra-low latency.  Real-time AI is becoming increasingly important as cloud infrastructures process live data streams, whether they be search queries, videos, sensor streams, or interactions with users.

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Science mimics nature: Microsoft researchers test AI-controlled soaring machine

In the searing midday heat of the Nevada desert, a white Jeep Wrangler heads down a desolate strip of dirt road, surrounded on either side by miles of sagebrush and sand.

As the Jeep bumps along, two members of a Microsoft research team, Jim Piavis and Rick Rogahn, steady themselves against the roll bar, their feet planted on the seats and their upper bodies jutting out of the open roof. They are scanning the bright blue sky, tracking a type of glider known as a sailplane.

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AI with creative eyes amplifies the artistic sense of everyone

Recent advances in the branch of artificial intelligence (AI) known as machine learning are helping everyone, including artistically challenged people such as myself, transform images and videos into creative and shareable works of art.

AI-powered computer vision techniques pioneered by researchers from Microsoft’s Redmond and Beijing research labs, for example, provide new ways for people to transfer artistic styles to their photographs and videos as well as swap the visual style of two images, such as the face of a character from the movie Avatar and Mona Lisa.

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Transfer learning for machine reading comprehension

For human beings, reading comprehension is a basic task, performed daily. As early as in elementary school, we can read an article, and answer questions about its key ideas and details.But for AI, full reading comprehension is still an elusive goal–but a necessary one if we’re going to measure and achieve general intelligence AI.

In practice, reading comprehension is necessary for many real-world scenarios, including customer support, recommendations, question answering, dialog and customer relationship management. It has incredible potential for situations such as helping a doctor quickly find important information amid thousands of documents, saving their time for higher-value and potentially life-saving work.

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Second version of HoloLens HPU will incorporate AI coprocessor for implementing DNNs

It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing.

Although we have seen large improvements in the accuracy of recognition as a result of Deep Neural Networks (DNNs), deep learning approaches have two well-known challenges: they require large amounts of labelled data for training, and they require a type of compute that is not amenable to current general purpose processor/memory architectures. Some companies have responded with architectures designed to address the particular type of massively parallel compute required for DNNs, including our own use of FPGAs, for example, but to date these approaches have primarily enhanced existing cloud computing fabrics.

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AI for security: Microsoft Security Risk Detection makes debut

Microsoft is making a cloud service that uses artificial intelligence to track down bugs in software generally available, and it will begin offering a preview version of the tool for Linux users as well.

Microsoft Security Risk Detection, previously known as Project Springfield, is a cloud-based tool that developers can use to look for bugs and other security vulnerabilities in the software they are preparing to release or use. The tool is designed to catch the vulnerabilities before the software goes out the door, saving companies the heartache of having to patch a bug, deal with crashes or respond to an attack after it has been released.

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Faculty Summit ’17 sessions available on-demand

The theme of this year’s Faculty Summit 2017, which occurred earlier this week, was The Edge of AI. The meeting on Microsoft’s sun-splashed Redmond campus involved more than 500 prominent AI academic and Microsoft researchers who brought depth and context to the theme with thought-provoking presentations and demos of leading-edge research. We heard from leading luminaries in collaborative AI, deep learning, machine comprehension, deep neural nets and more. We saw demos of AI applications and services that demonstrated some aspects of AI are moving to the center of our digital lives. We also heard from some of our keynote speakers that while much progress has been made, much work remains if our AI systems are to become better at sensing, learning, reasoning and understanding natural language. And we were challenged to continue to seek out errors – not just solutions – on the path toward a more general artificial intelligence.

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Microsoft reinforces AI vision at London event

Microsoft’s vision for AI (artificial intelligence) is about people. It’s about amplifying human ingenuity through intelligent technology that will reason with, understand and interact with people and, together with people, help us solve some of society’s most fundamental challenges. This was the message shared earlier today at an event in London by Harry Shum, Executive Vice-President of Microsoft’s AI and Research Group.

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AI in the News