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… Read more

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… Read more

How to Implement AI-First Business Models at Scale

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 are now convinced of the value of AI and are now facing the challenge of moving beyond individual point solutions… Read more

Data Center Scale Computing and Artificial Intelligence with Matei Zaharia, Inventor of Apache Spark

Matei Zaharia, Chief Technologist at Databricks & Assistant Professor of Computer Science at Stanford University, in conversation with Joseph Sirosh, Chief Technology Officer of Artificial Intelligence in Microsoft’s Worldwide Commercial Business At Microsoft, we are privileged to work with individuals whose ideas are blazing a trail, transforming entire businesses through the power of the cloud,… Read more

Pioneers in AI – Conversations with AI Thought Leaders

At Microsoft, we are privileged to work with individuals whose ideas are blazing a trail, transforming entire businesses through the power of the cloud, big data and artificial intelligence. Our new Pioneers in AI series features insights from such pathbreakers. Join us as we dive into these innovators’ ideas and the solutions they are bringing… Read more

Why Would Prosthetic Arms Need to See or Connect to Cloud AI?

Based on “Connected Arms”, a keynote talk at the O’Reilly AI Conference delivered by Joseph Sirosh, CTO for AI at Microsoft. Content reposted from this O’Reilly Media website. There are over 1 million new amputees every year, i.e. one every 30 seconds – a truly shocking statistic. The World Health Organization estimates that between 30… Read more

See How AI is Inspiring the Next Generation of Developers

This post is authored by Nile Wilson, Software Engineer Intern at Microsoft. Imagine Cup 2018 winning teams: smartARM (first place, front and center), iCry2Talk (second place, attired in pink), and Mediated Ear (third place, at the right). Every year, Microsoft hosts the Imagine Cup, a global competition bringing together creative, bright, and motivated students to… Read more

Turn Whiteboard UX Sketches into Working HTML in Seconds – Introducing Sketch2Code

This post is authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. The user interface design process involves lots of creativity and iteration. The process often starts with drawings on a whiteboard or a blank sheet of paper, with designers and engineers sharing ideas and trying their best to represent the underlying… Read more

The Microsoft AI Idea Challenge – Breakthrough Ideas Wanted!

This post is authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. All of us have creative ideas – ideas that can improve our lives and the lives of thousands, perhaps even millions of others. But how often do we act on turning those ideas into a reality? Most of the time,… Read more

Distributed Deep Learning on AZTK and HDInsight Spark Clusters

This post is authored by Chenhui Hu, Data Scientist at Microsoft. Deep learning has achieved great success in many areas recently. It has attained state-of-the-art performance in applications ranging from image classification and speech recognition to time series forecasting. The key success factors of deep learning are – big volumes of data, flexible models and… Read more