tinyML Talks: Making ML work in the real world


February 23, 2021



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Timezone: PDT

Making ML work in the real world

Dominic BINKS, VP of Technology

Audio Analytic

While ML researchers continue to deliver new techniques and tools to improve the performance of ML-based systems, there’s often a gap between those developments and ML systems working in the real world: why is it often the case that when ML models are deployed in the real they do not work anywhere near as well as lab experiments suggest? What is it that leads to this disconnect?

In this talk, Dominic will share elements of our product design process, share some amusing stories from deploying ML models to real-world environments, see how the real world can throw up surprising, unexpected and plain strange scenarios and propose tools and techniques to help build ML models that really work.

Dominic BINKS, VP of Technology

Audio Analytic

Dr. Dominic Binks was previously a Staff Engineer at Qualcomm working in a variety of different software roles prior to joining Audio Analytic. At Qualcomm in Cambridge, he worked on mShop, a BREW-based shopping application and Vuforia, Qualcomm’s cross-platform augmented reality SDK. In addition, Dominic spent time in San Diego working on Qualcomm’s core Android porting team with responsibility for the build and release team. Prior to Qualcomm, Dominic worked in technical presales at SavaJe, Android’s forerunner. Before joining SavaJe Dominic worked as a technical consultant at Scientific Generics (now Sagentia) and prior to this, he worked on pre-paid calling platforms deployed to a number of mobile operators worldwide. Dominic’s PhD investigated techniques for automating fault finding (debugging) in pieces of software.

Schedule subject to change without notice.