Tags : #AzureML

02

Oct

Deep Learning Without Labels

https://docs.microsoft.com/archive/blogs/machinelearning/deep-learning-without-labelsSource: https://docs.microsoft.com/archive/blogs/machinelearning/deep-learning-without-labels       Announcing new open source contributions to the Apache Spark community for creating deep, distributed, object detectors – without a single human-generated label This post is authored by members of the Microsoft ML for Apache Spark READ MORE

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02

Oct

“Snip Insights” – An Open Source Cross-Platform AI Tool for Intelligent Screen Capture

This post is authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. What if we could infuse AI into the everyday tools we use, to delight everyday users? With just a little bit of creativity – and the power of the Microsoft AI platform behind us – it’s now become easier than ever to create AI-enabled apps that can wow users. Introducing Snip Insights! An open source cross-platform AI tool for intelligent screen capture, Snip Insights is a step change in terms of how users can generate insights from their screen captures. The initial prototype of Snip Insights, built for Windows OS and released at Microsoft Build 2018 in May, was created by Microsoft Garage interns based out of Vancouver, Canada. Our team at Microsoft AI Lab, in collaboration with the Microsoft AI CTO team, took Snip Insights to the next level by giving the tool an intuitive new user interface, adding cross-platform support (for MacOS, Linux, and Windows), and offering free download and usage under the MSA license. Snip Insights taps into Microsoft Azure Cognitive Services APIs and helps increase user productivity by automatically providing them with intelligent insights on their screen

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26

Sep

Can AI-Generated Code Automate Tedious Elements of Knowledge Work?
Can AI-Generated Code Automate Tedious Elements of Knowledge Work?

By Joseph Sirosh, Corporate Vice President and CTO of AI, and Sumit Gulwani, Partner Research Manager, at Microsoft.

There are an estimated 250 million “knowledge workers” in the world, a term that encompasses anybody engaged in professional, technical or managerial occupations. These are individuals who, for most part, perform non-routine work that requires the handling of information and exercising the intellect and judgement. We, the authors of this blog post, count ourselves among them. So are a majority of you reading this post, regardless of whether you’re a developer, data scientist, business analyst or manager.

Although a majority of knowledge work tends to be non-routine, there are, nevertheless, many situations in which knowledge workers find ourselves doing tedious repetitive tasks as part of our day jobs, especially around tasks that involve manipulating data.

In this blog post, we take a look at Microsoft PROSE, an AI technology that can automatically produce software code snippets at just the right time and in just the right situations to help knowledge workers automate routine tasks that involve data manipulation. These are generally tasks that most users would otherwise find exceedingly tedious or too time consuming to even contemplate.

Details of Microsoft PROSE can

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26

Sep

Can AI Generate Programs to Help Automate Busy Work?
Can AI Generate Programs to Help Automate Busy Work?

By Joseph Sirosh, Corporate Vice President and CTO of AI, and Sumit Gulwani, Partner Research Manager, at Microsoft. There are an estimated 250 million “knowledge workers” in the world, a term that encompasses anybody engaged in professional, technical or managerial occupations. These are individuals who, for most part, perform non-routine work that requires the handling of information and exercising the intellect and judgement. We, the authors of this blog post, count ourselves among them. So are a majority of you reading this post, regardless of whether you’re a developer, data scientist, business analyst or manager. Although a majority of knowledge work tends to be non-routine, there are, nevertheless, many situations in which knowledge workers find ourselves doing tedious repetitive tasks as part of our day jobs, especially around tasks that involve manipulating data. In this blog post, we take a look at Microsoft PROSE, an AI technology that can automatically produce software code snippets at just the right time and in just the right situations to help knowledge workers automate routine tasks that involve data manipulation. These are generally tasks that most users would otherwise find exceedingly tedious or too time consuming to even contemplate. Details

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21

Sep

This New [AI] Software Constantly Improves – and that Makes all the Difference

Based on a recent conversation between Joseph Sirosh, CTO for AI at Microsoft, and Roger Magoulas, VP of Radar at O’Reilly Media. Link to video recording below.

Joseph and Roger had an interesting conversation at the recently concluded O’Reilly AI Conference in San Francisco where Joseph delivered a keynote talk on Connected Arms.

Their discussion initially focused on a new low-cost 3D-printed prosthetic arm that can “see” and which connects to cloud AI services to generate customized behaviors, such as different types of grips needed to grasp nearby objects. But the conversation soon pivoted into a discussion about the unlimited set of possibilities that open up when devices such as this are embedded with low-cost sensors, take advantage of cloud connectivity, sophisticated cloud services such as AI, link to other datasets and other things in the world around them.

True digital transformation is not about running a neural network or just about AI, as Joseph observes. It is about this ability to tap into software running as a service in the cloud, with the connectivity and global access that it brings. That can endow unexpected and almost magical new powers to ordinary everyday things.

Joseph draws the parallel between

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21

Sep

AI-Based Virtual Tutors – The Future of Education?
AI-Based Virtual Tutors – The Future of Education?

This post is co-authored by Chun Ming Chin, Technical Program Manager, and Max Kaznady, Senior Data Scientist, of Microsoft, with Luyi Huang, Nicholas Kao and James Tayali, students at University of California at Berkeley.

This blog post is about the UC Berkeley Virtual Tutor project and the speech recognition technologies that were tested as part of that effort. We share best practices for machine learning and artificial intelligence techniques in selecting models and engineering training data for speech and image recognition. These speech recognition models, which are integrated with immersive games, are currently being tested at middle schools in California.

Context

The University of California, Berkeley has a new program founded by alum and philanthropist Coleman Fung called the Fung Fellowship. In this program, students develop technology solutions to address education challenges such as enabling underserved children to help themselves in their learning. The solution involves building a Virtual Tutor that listens to what children say and interacts with them when playing educational games. The games were developed by a technology company founded by Coleman named Blue Goji. This work is being done in collaboration with the Partnership for a Healthier America, a nonprofit organization chaired by Michelle Obama.

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21

Sep

AI Adoption in Industry – New Report from MIT Sloan and BCG
AI Adoption in Industry – New Report from MIT Sloan and BCG

Earlier this week, MIT, in collaboration with Boston Consulting Group, released their second global study looking at AI adoption in industry.

A top finding is that the leading companies in AI adoption are now convinced of the value of AI and are facing the challenge of moving beyond individual point solutions toward broad, systematic use of AI across the company and at-scale.

In the report, Joseph Sirosh, CTO of AI at Microsoft, discusses how Microsoft is building a complete AI platform that empowers enterprises to implement these AI-first business models and do so at scale. Scaling AI across an entire business requires companies to look far beyond just building that initial model.

As Joseph says, companies need an “AI Oriented Architecture capable of constantly running AI experiments reliably, with continuous integration and development, and then learning from those experiments and continuing to improve its operations.

For those of you who are attending Microsoft Ignite at Orlando next week, you can hear Joseph talk about AI Oriented Architectures first hand, and get guidance on how enterprises can build successful AI solutions at scale.

Adopting Microsoft AI is super easy – you can get started here.

AI / ML Blog Team

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21

Sep

This New [AI] Software Constantly Improves – and that Makes all the Difference

https://docs.microsoft.com/archive/blogs/machinelearning/the-key-differentiator-of-the-ai-platform-of-todaySource: https://docs.microsoft.com/archive/blogs/machinelearning/the-key-differentiator-of-the-ai-platform-of-today       Based on a recent conversation between Joseph Sirosh, CTO for AI at Microsoft, and Roger Magoulas, VP of Radar at O’Reilly Media. Link to video recording below. Joseph and Roger had an interesting conversation at READ MORE

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21

Sep

AI-Based Virtual Tutors – The Future of Education?
AI-Based Virtual Tutors – The Future of Education?

This post is co-authored by Chun Ming Chin, Technical Program Manager, and Max Kaznady, Senior Data Scientist, of Microsoft, with Luyi Huang, Nicholas Kao and James Tayali, students at University of California at Berkeley. This blog post is about the UC Berkeley Virtual Tutor project and the speech recognition technologies that were tested as part of that effort. We share best practices for machine learning and artificial intelligence techniques in selecting models and engineering training data for speech and image recognition. These speech recognition models, which are integrated with immersive games, are currently being tested at middle schools in California. Context The University of California, Berkeley has a new program founded by alum and philanthropist Coleman Fung called the Fung Fellowship. In this program, students develop technology solutions to address education challenges such as enabling underserved children to help themselves in their learning. The solution involves building a Virtual Tutor that listens to what children say and interacts with them when playing educational games. The games were developed by a technology company founded by Coleman named Blue Goji. This work is being done in collaboration with the Partnership for a Healthier America, a nonprofit organization chaired by

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21

Sep

How to Implement AI-First Business Models at Scale

https://docs.microsoft.com/archive/blogs/machinelearning/ai-adoption-in-industry-new-report-from-mit-sloan-and-bcgSource: https://docs.microsoft.com/archive/blogs/machinelearning/ai-adoption-in-industry-new-report-from-mit-sloan-and-bcg       Earlier this week, MIT, in collaboration with Boston Consulting Group, released their second global study looking at AI adoption in industry. A top finding of this report is that the leading companies in AI adoption READ MORE

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