Microsoft Research Podcast

Machine learning is a powerful tool that enables conversational agents to provide general question-answer services. But in domains with more specific taxonomies – or simply for requests that are longer and more complicated than “Play Baby Shark” – custom conversational AI has long been the province of large enterprises with big budgets. But not for long, thanks to the work of Dr. Riham Mansour, a Principal Software Engineering Manager for Microsoft’s Language Understanding Service, or LUIS. She and her colleagues are using the emerging science of machine teaching to help domain experts build bespoke AI models with little data and no machine learning expertise.

On today’s podcast, Dr. Mansour gives us a brief history of conversational machines at Microsoft; tells us all about LUIS, one of the first Microsoft products to deploy machine teaching concepts in real world verticals; and explains how an unlikely combination of engineering skills, science skills, entrepreneurial skills – and not taking no for an answer – helped make automated customer engagement and business functions more powerful, more accessible and more intelligent!

https://www.microsoft.com/research

Dr. Craig Costello is in the business of safeguarding your secrets. And he uses math to do it. A researcher in the Security and Cryptography group at Microsoft Research, Dr. Costello is among a formidable group of code makers (aka cryptographers) who make it their life’s work to protect the internet against adversarial code breakers (aka cryptanalysts), both those that exist today in our classical computing world, and those that will exist in a quantum computing future.

On today’s podcast, Dr. Costello gives us a battlefield update in the ongoing crypto wars; talks about different approaches to post quantum cryptography and explains why he believes isogeny-based primitives are among the most promising; and reassures us that, as long as the battle goes on, cryptographers will continue to work very hard on the very hard math they hope will protect us from hackers and attackers, even in the age of quantum computers. https://www.microsoft.com/research

Using technology to help us improve our health is nothing new: a quick web search returns hundreds of apps and devices claiming to help us get fit, quit smoking, master anxiety or just “find our center.” What is new is a serious cohort of researchers exploring how artificial emotional intelligence, or AEI, could help us understand ourselves better and, when used in concert with human caregivers, enhance our well-being. One of those researchers is Jina Suh, a former Xbox developer who got hooked on research and is now an RSDE in the Human Understanding and Empathy group at MSR, as well as a PhD student in computer science at the University of Washington.

On today’s podcast, Jina shares her passion for creating technologies that promote emotional resilience and mental health; gives us an inside look at an innovative research collaboration that aims to improve collaborative care for cancer patients with depression; and tells us an emotional story of how, on the brink of quitting her job, she found inspiration to get back in the game and begin a new career in research for human well-being. https://www.microsoft.com/research

If someone asked you what snow leopards and Vincent Van Gogh have in common, you might think it was the beginning of a joke. It’s not, but if it were, Mark Hamilton, a software engineer in Microsoft’s Cognitive Services group, budding PhD student and frequent Microsoft Research collaborator, would tell you the punchline is machine learning. More specifically, Microsoft Machine Learning for Apache Spark (MMLSpark for short), a powerful yet elastic open source machine learning library that’s finding its way beyond business and into “AI for Good” applications such as the environment and the arts.

Today, Mark talks about his love of mathematics and his desire to solve big, crazy, core knowledge sized problems; tells us all about MMLSpark and how it’s being used by organizations like the Snow Leopard Trust and the Metropolitan Museum of Art; and reveals how the persuasive advice of a really smart big sister helped launch an exciting career in AI research and development.

https://www.microsoft.com/research

Dr. Eyal Ofek is a senior researcher at Microsoft Research and his work deals mainly with, well, reality. Augmented and virtual reality, to be precise. A serial entrepreneur before he came to MSR, Dr. Ofek knows a lot about the “long nose of innovation” and what it takes to bring a revolutionary new technology to a world that’s ready for it.

On today’s podcast, Dr. Ofek talks about the unique challenges and opportunities of augmented and virtual reality from both a technical and social perspective; tells us why he believes AR and VR have the potential to be truly revolutionary, particularly for people with disabilities; explains why, while we’re doing pretty well in the virtual worlds of sight and sound, our sense of virtual touch remains a bit more elusive; and reveals how, if he and his colleagues are wildly successful, it won’t be that long before we’re living in a whole new world of extension, expansion, enhancement and equality.https://www.microsoft.com/research

Dr. Susan Dumais knows you have things to do, and if you need help finding stuff to get them done (and you probably do) then her long and illustrious career in search technologies has been worth it. Situated firmly in Louis Pasteur’s quadrant of the research grid (the square where you answer “yes” to both the quest for fundamental understanding and use-based applications) the Microsoft Technical Fellow, and Deputy Lab Director of MSR AI, has made finding information the focus of her career, and has probably made your life a little more productive in the process.

Today, Dr. Dumais tells us how the landscape of information retrieval has evolved over the past twenty years; reminds us that queries don’t fall from the sky but are grounded in the context of real people, real events and real time; talks about her current interest in non-web-based search (or how I can easily put my hands on my own digital belongings) and reveals what apples and Michael Jordan have in common with search research.https://www.microsoft.com/research

In 2018, Microsoft launched the Microsoft AI Residency Program, a year-long, expanded research experience designed to give recent graduates in a variety of fields the opportunity to work alongside prominent researchers at MSR on cutting edge AI technologies to solve real-world problems. Dr. Brian Broll was one of them. A newly minted PhD in Computer Science from Vanderbilt University, Dr. Broll was among the inaugural cohort of AI residents who spent a year working on machine learning in game environments and is on the pod to talk about it!

Today, Dr. Broll gives us an overview of the work he did and the experience he had as a Microsoft AI Resident, talks about his passion for making complex concepts easier and more accessible to novices and young learners, and tells us how growing up on a dairy farm in rural Minnesota helped prepare him for a life in computer science solving some of the toughest problems in AI.

https://www.microsoft.com/research

Dr. Ed Cutrell is a Principal Researcher in the Ability group at Microsoft Research and he’s convinced that great technology should be available to everyone. Working in the fields of Accessibility and Information and Communication Technologies for Development (aka ICT4D), his research has explored computing solutions for people across the resource and ability spectrum, both here and around the world.

Today, Dr. Cutrell gives us an overview of his work in the disability and inclusive design space, explains the vital importance of interdisciplinarity – a fancy way of saying many ways of thinking and many ways of knowing – and tells us how a dumb phone beat a smart tablet in rural India… and what that meant to researchers.

https://www.microsoft.com/research

As computing moves to the cloud, there is an increasing need for privacy in AI. In an ideal world, users would have the ability to compute on encrypted data without sacrificing performance. Enter Dr. Olli Saarikivi, a post-doctoral researcher in the RiSE group at MSR. He, along with a stellar group of cross-disciplinary colleagues, are bridging the gap with CHET, a compiler and runtime for homomorphic evaluation of tensor programs, that keeps data private while making the complexities of homomorphic encryption schemes opaque to users.

On today’s podcast, Dr. Saarikivi tells us all about CHET, gives us an overview of some of his other projects, including Parasail, a novel approach to parallelizing seemingly sequential applications, and tells us how a series of unconventional educational experiences shaped his view of himself, and his career as a researcher. https://www.microsoft.com/research

The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much. At least not yet! And not if Dr. T.J. Hazen, Senior Principal Research Manager in the Engineering and Applied Research group at MSR Montreal, has a say. He’s spent much of his career working on machine speech and language understanding, and particularly, of late, machine reading comprehension, or MRC.

On today’s podcast, Dr. Hazen talks about why reading comprehension is so hard for machines, gives us an inside look at the technical approaches applied researchers and their engineering colleagues are using to tackle the problem, and shares the story of how an a-ha moment with a Rubik’s Cube inspired a career in computer science and a quest to teach computers to answer complex, text-based questions in the real world.

https://microsoft.com/research