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.

Episoder(779)

A Linear-Time Kernel Goodness-of-Fit Test - NIPS Best Paper '17 - TWiML Talk #100

A Linear-Time Kernel Goodness-of-Fit Test - NIPS Best Paper '17 - TWiML Talk #100

In this episode, I speak with Arthur Gretton, Wittawat Jitkrittum, Zoltan Szabo and Kenji Fukumizu, who, alongside Wenkai Xu authored the 2017 NIPS Best Paper Award winner “A Linear-Time Kernel Goodne...

24 Jan 201822min

Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99

Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99

In this episode I speak with Tuomas Sandholm, Carnegie Mellon University Professor and Founder and CEO of startups Optimized Markets and Strategic Machine. Tuomas, along with his PhD student Noam Brow...

22 Jan 201827min

Separating Vocals in Recorded Music at Spotify with Eric Humphrey - TWiML Talk #98

Separating Vocals in Recorded Music at Spotify with Eric Humphrey - TWiML Talk #98

In today’s show, I sit down with Eric Humphrey, Research Scientist in the music understanding group at Spotify. Eric was at the Deep Learning Summit to give a talk on Advances in Deep Architectures an...

19 Jan 201827min

Accelerating Deep Learning with Mixed Precision Arithmetic with Greg Diamos - TWiML Talk #97

Accelerating Deep Learning with Mixed Precision Arithmetic with Greg Diamos - TWiML Talk #97

In this show I speak with Greg Diamos, senior computer systems researcher at Baidu. Greg joined me before his talk at the Deep Learning Summit, where he spoke on “The Next Generation of AI Chips.” Gre...

17 Jan 201839min

Composing Graphical Models With Neural Networks with David Duvenaud - TWiML Talk #96

Composing Graphical Models With Neural Networks with David Duvenaud - TWiML Talk #96

In this episode, we hear from David Duvenaud, assistant professor in the Computer Science and Statistics departments at the University of Toronto. David joined me after his talk at the Deep Learning S...

15 Jan 201835min

Embedded Deep Learning at Deep Vision with Siddha Ganju - TWiML Talk #95

Embedded Deep Learning at Deep Vision with Siddha Ganju - TWiML Talk #95

In this episode we hear from Siddha Ganju, data scientist at computer vision startup Deep Vision. Siddha joined me at the AI Conference a while back to chat about the challenges of developing deep lea...

12 Jan 201834min

Neuroevolution: Evolving Novel Neural Network Architectures with Kenneth Stanley - TWiML Talk #94

Neuroevolution: Evolving Novel Neural Network Architectures with Kenneth Stanley - TWiML Talk #94

Today, I'm joined by Kenneth Stanley, Professor in the Department of Computer Science at the University of Central Florida and senior research scientist at Uber AI Labs. Kenneth studied under TWiML Ta...

11 Jan 201845min

A Quantum Computing Primer and Implications for AI with Davide Venturelli - TWiML Talk #93

A Quantum Computing Primer and Implications for AI with Davide Venturelli - TWiML Talk #93

Today, I'm joined by Davide Venturelli, science operations manager and quantum computing team lead for the Universities Space Research Association’s Institute for Advanced Computer Science at NASA Ame...

8 Jan 201834min

Populært innen Politikk og nyheter

giver-og-gjengen-vg
aftenpodden
aftenpodden-usa
i-retten
forklart
popradet
stopp-verden
det-store-bildet
dine-penger-pengeradet
rss-gukild-johaug
fotballpodden-2
nokon-ma-ga
bt-dokumentar-2
hanna-de-heldige
aftenbla-bla
chit-chat-med-helle
frokostshowet-pa-p5
rss-dannet-uten-piano
rss-ness
e24-podden