

Microsoft Research Podcast
Researchers across the Microsoft research community
An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.
Episodes
Mentioned books

Jun 17, 2020 • 43min
118 - Accessible systems for sign language computation with Dr. Danielle Bragg
Many computer science researchers set their sights on building general AI technologies that could impact hundreds of millions – or even billions – of people. But Dr. Danielle Bragg, a senior researcher at MSR’s New England lab, has a slightly smaller and more specific population in mind: the some seventy million people worldwide who use sign languages as their primary means of communication.
Today, Dr. Bragg gives us an insightful overview of the field and talks about the unique challenges and opportunities of building systems that expand access to information in line with the needs and desires of the deaf and signing community.
https://www.microsoft.com/research

Jun 3, 2020 • 39min
117 - Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he explains how his work on feedback-driven data collection and provably efficient reinforcement learning algorithms is helping to move the RL needle in the real-world direction.
https://www.microsoft.com/research

May 27, 2020 • 0sec
116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen
Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI.
Today, he tells us how he’s using reinforcement learning and HAIbrid algorithms to tap the best of both human and machine intelligence and develop AI that’s minimally disruptive, synergistic with human solutions, and safe.

May 20, 2020 • 0sec
036r - A conversation with Microsoft CTO Kevin Scott
This episode originally aired in August, 2018.
Kevin Scott has embraced many roles over the course of his illustrious career in technology: software developer, engineering executive, researcher, angel investor, philanthropist, and now, Chief Technology Officer of Microsoft. But perhaps no role suits him so well – or has so fundamentally shaped all the others – as his self-described role of “all-around geek.”
Today, in a wide-ranging interview, Kevin shares his insights on both the history and the future of computing, talks about how his impulse to celebrate the extraordinary people “behind the tech” led to an eponymous non-profit organization and a podcast, and… reveals the superpower he got when he was in grad school.

May 13, 2020 • 0sec
115 - Diving into Deep InfoMax with Dr. Devon Hjelm
Dr. Devon Hjelm is a senior researcher at the Microsoft Research lab in Montreal, and today, he joins me to dive deep into his research on Deep InfoMax, a novel self-supervised learning approach to training AI models – and getting good representations – without human annotation. He also tells us how an interest in neural networks, first human and then machine, led to an inspiring career in deep learning research.
https://www.microsoft.com/research

May 6, 2020 • 0sec
080r - All Data AI with Dr. Andrew Fitzgibbon
This episode originally aired in June, 2019
You may not know who Dr. Andrew Fitzgibbon is, but if you’ve watched a TV show or movie in the last two decades, you’ve probably seen some of his work. An expert in 3D computer vision and graphics, and head of the new All Data AI group at Microsoft Research Cambridge, Dr. Fitzgibbon was instrumental in the development of Boujou, an Emmy Award-winning 3D camera tracker that lets filmmakers place virtual props, like the floating candles in Hogwarts School for Witchcraft and Wizardry, into live-action footage. But that was just his warm-up act.
On today’s podcast, Dr. Fitzgibbon tells us what he’s been working on since the Emmys in 2002, including body- and hand-tracking for powerhouse Microsoft technologies like Kinect for Xbox 360 and HoloLens, explains how research on dolphins helped build mathematical models for the human hand, and reminds us, once again, that the “secret sauce” to most innovation is often just good, old-fashioned hard work.
https://www.microsoft.com/research

Apr 29, 2020 • 0sec
020r - Getting good VIBEs from your computer with Dr. Mary Czerwinski
This episode originally aired in April, 2018
Emotions are fundamental to human interaction, but in a world where humans are increasingly interacting with AI systems, Dr. Mary Czerwinski, Principal Researcher and Research Manager of the Visualization and Interaction for Business and Entertainment group at Microsoft Research, believes emotions may be fundamental to our interactions with machines as well. And through her team’s work in affective computing, the quest to bring Artificial Emotional Intelligence – or AEI – to our computers may be closer than we think.
Today, Dr. Czerwinski tells us how a cognitive psychologist found her way into the research division of the world’s largest software company, suggests that rather than trying to be productive 24/7, we should aim for Emotional Homeostasis instead, and tells us how, if we do it right, our machines could become a sort of “emotional at-work DJ,” sensing and responding to our emotional states, and helping us to become happier and more productive at the same time.

Apr 22, 2020 • 0sec
072r - AI for Earth with Dr. Lucas Joppa
This episode originally aired in April, 2019.
We hear a lot these days about “AI for good” and the efforts of many companies to harness the power of artificial intelligence to solve some of our biggest environmental challenges. It’s rare, however, that you find a company willing to bring its environmental bona fides all the way to the C Suite. Well, meet Dr. Lucas Joppa. A former environmental and computer science researcher at MSR who was tapped in 2017 to become the company’s first Chief Environmental Scientist, Dr. Joppa is now the Chief Environmental Officer at Microsoft, another first, and is responsible for managing the company’s overall environmental sustainability efforts from operations to policy to technology.
Today, Dr. Joppa shares how his love for nature and the joy of discovery actually helped shape his career path, and tells us all about AI for Earth, a multi-year, multi-million dollar initiative to deploy the full scale of Microsoft’s products, policies and partnerships across four key areas of agriculture, water, biodiversity and climate, and transform the way society monitors, models, and ultimately manages Earth’s natural resources.

Apr 15, 2020 • 0sec
004r - Getting Virtual with Dr. Mar Gonzalez Franco
This episode originally aired in December, 2017
On today’s episode, neuroscientist and virtual reality researcher, Dr. Mar Gonzalez Franco, talks about her work in VR, explains how avatars can help increase our empathy and reduce our biases via role play, and addresses the misconceptions that exist between the immersive experiences of virtual reality and psychedelic drugs.

Apr 8, 2020 • 0sec
114 - Project Orleans and the distributed database future with Dr. Philip Bernstein
Forty years ago, database research was an “exotic” field and, because of its business data processing reputation, was not considered intellectually interesting in academic circles. But that didn’t deter Dr. Philip Bernstein, now a Distinguished Scientist in MSR’s Data Management, Exploration and Mining group, and a pioneer in the field.
Today, Dr. Bernstein talks about his pioneering work in databases over the years and tells us all about Project Orleans, a distributed systems programming framework that makes life easier for programmers who aren’t distributed systems experts. He also talks about the future of database systems in a cloud scale world, and reveals where he finds his research sweet spot along the academic industrial spectrum.
https://www.microsoft.com/research


