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Real World Web 16iq.intel.com/real-world-webwww.psfk.com/real-world-web SELF-LEARNING PSFK Real World Web Report on the Internet of Things

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Real World Web
16iq.intel.com/real-world-webwww.psfk.com/real-world-web
SELF-LEARNING SYSTEM HELPS DRIVERS CUT
THEIR ELECTRIC BILLS
The in-car app Smartcar for Tesla helps drivers reduce their
electricity bill by optimizing energy use while driving the car as
well as avoiding peak hour rates when recharging. The learning
system adapts to the driver’s behaviors for a more personalized
driving experience, such as knowing when to heat up the car on a
cold morning before a commute.
smartcar.io
bit.ly/PU2gYF
COMPUTERS TEACH OTHER MACHINES TO
PLAY PAC-MAN
An international team of computer science researchers have
improved computer learning by utilizing teaching algorithms that
coach other computers to beat high scores in video games in less
time than unaided algorithms. The program challenged computers
to beat goals in Pac-Man and Starcraft, which serve as a great
analogy for real life decision engines, by improving their ability to
face crucial decisions and improve their outcome over time.
bit.ly/PUtv5p
bit.ly/PUtm1M
Parce One: Smart Wall Plug-In Manages
Home Energy Use With Visual Reports
parce.de
bit.ly/1f3t5jl
SMARCOS: Human-Computer Interface
Tracks Wearer’s Actions To Offer Help When
Needed
smarcos-project.eu
bit.ly/1gQ94Rm
Rhythm Downlight: Intelligent Light Bulbs
Adjust To Individual User’s Rhythms
lsgc.com/products/fixtures/glimpse
on.mash.to/KiCOtC
EMPATHY TECH
Adaptive Machines 07
CONNECTED ALGORITHM ANALYZES ENERGY
USAGE TO CONTROL HOME THERMOSTATS
Power company NRG Energy has invested in startup EcoFactor,
which uses smart algorithms, large data sets and connected
thermostats to reduce customers’ home energy consumption.
EcoFactor has created software that pulls in data about things
like weather, demographics, and homeowner behavior. The
system then uses all this data to tweak a home’s connected
thermostat settings to shave off energy consumption, but also to
maintain a comfortable temperature in the home. The technology
demonstrates how constant small changes based on outside
conditions and user behavior can add up to greater efficiency in
the long run.
nrgenergy.com
bit.ly/1h6mgSi
Matthew E. Taylor.
Researcher & Professor.
Washington State University
Artificial Intelligence School.
bit.ly/1oIHQ0O
Eugene Plüger.
Cofounder. Parce.
@plugisto
parce.de
TOPIC EXPERTS
IMPLICATIONS
__ Each device within a connected home ecosystem
can share data around user behavior, resulting in
smarter response and more efficient operations.
__ Vehicle GPS systems can communicate with those
around it, routing connected cars to different
route, easing traffic flow.
__ Wi-fi systems within the same umbrella network
could redirect bandwidth according to usage,
taking advantage of any time a network is
underused.

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Real World Web 16iq.intel.com/real-world-webwww.psfk.com/real-world-web SELF-LEARNING SYSTEM HELPS DRIVERS CUT THEIR ELECTRIC BILLS The in-car app Smartcar for Tesla helps drivers reduce their electricity bill by optimizing energy use while driving the car as well as avoiding peak hour rates when recharging. The learning system adapts to the driver’s behaviors for a more personalized driving experience, such as knowing when to heat up the car on a cold morning before a commute. smartcar.io bit.ly/PU2gYF COMPUTERS TEACH OTHER MACHINES TO PLAY PAC-MAN An international team of computer science researchers have improved computer learning by utilizing teaching algorithms that coach other computers to beat high scores in video games in less time than unaided algorithms. The program challenged computers to beat goals in Pac-Man and Starcraft, which serve as a great analogy for real life decision engines, by improving their ability to face crucial decisions and improve their outcome over time. bit.ly/PUtv5p bit.ly/PUtm1M Parce One: Smart Wall Plug-In Manages Home Energy Use With Visual Reports parce.de bit.ly/1f3t5jl SMARCOS: Human-Computer Interface Tracks Wearer’s Actions To Offer Help When Needed smarcos-project.eu bit.ly/1gQ94Rm Rhythm Downlight: Intelligent Light Bulbs Adjust To Individual User’s Rhythms lsgc.com/products/fixtures/glimpse on.mash.to/KiCOtC EMPATHY TECH Adaptive Machines 07 CONNECTED ALGORITHM ANALYZES ENERGY USAGE TO CONTROL HOME THERMOSTATS Power company NRG Energy has invested in startup EcoFactor, which uses smart algorithms, large data sets and connected thermostats to reduce customers’ home energy consumption. EcoFactor has created software that pulls in data about things like weather, demographics, and homeowner behavior. The system then uses all this data to tweak a home’s connected thermostat settings to shave off energy consumption, but also to maintain a comfortable temperature in the home. The technology demonstrates how constant small changes based on outside conditions and user behavior can add up to greater efficiency in the long run. nrgenergy.com bit.ly/1h6mgSi Matthew E. Taylor. Researcher & Professor. Washington State University Artificial Intelligence School. bit.ly/1oIHQ0O Eugene Plüger. Cofounder. Parce. @plugisto parce.de TOPIC EXPERTS IMPLICATIONS __ Each device within a connected home ecosystem can share data around user behavior, resulting in smarter response and more efficient operations. __ Vehicle GPS systems can communicate with those around it, routing connected cars to different route, easing traffic flow. __ Wi-fi systems within the same umbrella network could redirect bandwidth according to usage, taking advantage of any time a network is underused.

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