Peering into the Home w/ Aerial.ai's Wifi Motion Analytics - TWiML Talk #107

Peering into the Home w/ Aerial.ai's Wifi Motion Analytics - TWiML Talk #107

In this episode I’m joined by Michel Allegue and Negar Ghourchian of Aerial.ai. Aerial is doing some really interesting things in the home automation space, by using wifi signal statistics to identify and understand what’s happening in our homes and office environments. Michel, the CTO, describes some of the capabilities of their platform, including its ability to detect not only people and pets within the home, but surprising characteristics like breathing rates and patterns. He also gives us a look into the data collection process, including the types of data needed, how they obtain it, and how it is parsed. Negar, a senior data scientist with Aerial, describes the types of models used, including semi-supervised, unsupervised and signal processing based models, and how they’ve scaled their platform, and provides us with some real-world use cases. Be sure to check out some of the great names that will be at the AI Conference in New York, Apr 29–May 2, where you'll join the leading minds in AI, Peter Norvig, George Church, Olga Russakovsky, Manuela Veloso, and Zoubin Ghahramani. Explore AI's latest developments, separate what's hype and what's really game-changing, and learn how to apply AI in your organization right now. Save 20% on most passes with discount code PCTWIML at twimlai.com/ainy2018. Early price ends February 2! The notes for this show can be found at twimlai.com/talk/107. For complete contest details, visit twimlai.com/myaicontest. For complete series details, visit twimlai.com/aiathome.

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Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546

Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546

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Jupyter and the Evolution of ML Tooling with Brian Granger - #544

Jupyter and the Evolution of ML Tooling with Brian Granger - #544

Today we conclude our AWS re:Invent coverage joined by Brian Granger, a senior principal technologist at Amazon Web Services, and a co-creator of Project Jupyter. In our conversion with Brian, we disc...

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Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543

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Today we continue our 2021 re:Invent series joined by Jack Berkowitz, chief data officer at ADP. In our conversation with Jack, we explore the ever evolving role and growth of machine learning at the ...

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re:Invent Roundup 2021 with Bratin Saha - #542

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Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Today we’re joined by Doug Burdick, a principal research staff member at IBM Research. In a recent interview, Doug’s colleague Yunyao Li joined us to talk through some of the broader enterprise NLP pr...

2 Joulu 202145min

Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540

Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540

Today we’re joined by Shayan Mortazavi, a data science manager at Accenture.  In our conversation with Shayan, we discuss his talk from the recent SigOpt HPC & AI Summit, titled A Novel Framework Pred...

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Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539

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Today we’re joined by friend-of-the-show Nasrin Mostafazadeh, co-founder of Verneek.  Though Verneek is still in stealth, Nasrin was gracious enough to share a bit about the company, including their g...

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