Using AI and IoT to Accelerate Research
Recorded On: 05/08/2018
In recent years we’ve seen an explosion of technologies surrounding seemingly “new” fields of artificial intelligence / machine learning (AI/ML), the Internet of Things (IOT), and the like. Whilst many of the underlying technologies have existed for decades, only recently has compute power become affordable and powerful enough to apply them to new fields. In this webinar, we will explore how these new technologies can be used to accelerate scientific research. Many of the AI tools currently being used are focused on data mining; whilst this is a necessary part of the process, it is important to note that any AI system is only as good as the data that’s fed into it. This is where the integration of sensors and IOT can make a meaningful impact – by intelligently incorporating protocol design and real-time sensing of physical parameters with machine learning, we can dramatically improve research outcomes by increasing the reproducibility of experiments. How many times have you run an experiment and not been able to reproduce the results – only to find out (after months of searching) that the root cause was something trivial like improper storage of reagents, or mis-calibrated instruments, or environmental variations in the lab? Join us for an in-depth look at how we can overcome these challenges by practically incorporating new tech into research processes to uncover and decipher these hidden confounding variables.
Sridhar Iyengar, PhD
CEO & Founder, Elemental Machines
A serial entrepreneur in sensors, IoT, medical devices, and wearables, Sridhar is founded Elemental Machines with the mission to build products to help science-based companies decipher and understand physical processes from R&D to manufacturing. Previously, Sridhar was a founder of Misfit, makers of elegant wearable products, which was acquired by Fossil in 2015. Prior to Misfit, he founded AgaMatrix, a blood glucose monitoring company that made the world’s first medical device connecting directly to the iPhone. AgaMatrix shipped 15+ FDA-cleared medical products, 2B+ biosensors, 6M+ glucose meters, with partnerships with Apple, Sanofi, and Walgreens. Sridhar holds over 50 US and international patents and received his Ph.D. from Cambridge University as a Marshall Scholar. Beyond Elemental Machines, Sridhar has been known to run 13.1 miles on occasion and has sometimes been spotted on stage behind a wall of drums.