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From ACM Tech News: Cars talking, implants use wi-fi, AI

Posted: 19 Sep 2016 10:58 AM PDT
http://feedproxy.google.com/~r/kb6nu...m_medium=email


Heres another selection of items from the Association of Computing
Machinerys ACM Tech News. A lot of modern computing relies on wireless
technology, i.e. radio. If youre thinking of getting involved in any of
these wireless technologies, it would be an advantage for you to get an
amateur radio license.

The first articleÂ*below discussses how cars could wirelessly network with
one another to avoid crashes. The second discusses how implanted medical
can use Bluetooth to connect to external systems.

The third article isnt really amateur radio related, but I found it to be
very interesting. Chinas Baidu is making its artificial intelligence (AI)
software, PArallel Distributed Deep LEarning (PaddlePaddle), publicly
available on GitHub. According to the company, the software can be used by
a wide range of coders, even those who are not expert in AI. As far as I
know, AI isnt widely used in amateur radio so far, but perhaps this release
will spur this use.


Saving Lives by Letting Cars Talk to Each Other, The Conversation
(09/11/16) Huei Peng

Wireless connectivity enabling communication between vehicles, the
surrounding infrastructure, and others who share the road offers to improve
safety as semi-autonomous and fully autonomous cars mature and proliferate,
according to University of Michigan professor Huei Peng. Connectivity
enables smart decisions by individual drivers, by self-driving vehicles,
and at every level of automation in between, he says. Peng says connected
vehicles securely communicate to each other and the surrounding
infrastructure via Dedicated Short Range Communications, exchanging data 10
times each second via messages that can be securely relayed at least 1,000
feet in any direction, and through inclement weather. The U.S. federal
government calculates vehicle-to-vehicle connectivity could prevent or
mitigate the severity of approximately 80 percent of crashes that do not
involve drug- or alcohol-impaired motorists. Perhaps the greatest benefit
of connectivity is that it can transform a group of independent vehicles
sharing a road into a cohesive traffic system that can exchange critical
information about road and traffic conditions in real time, Peng says. He
notes the University of Michigan Mobility Transformation Center seeks to
advance connected/automated vehicle development. Peng also cites the need
to more fully understand how to fuse information from connectivity and
onboard sensors effectively.Â*View Full Article


Interscatter Communication Enables First-Ever Implanted Devices, Smart
Contact Lenses, Credit Cards That Talk Wi-Fi,Â*UW Today (08/17/16) Jennifer
Langston

University of Washington (UW) researchers interscatter communication method
enables brain implants, contact lenses, credit cards, and smaller wearables
to exchange data with smartphones, watches, and other everyday gadgets. The
technique, to be detailed next week at the ACM Special Interest Group on
Data Communication (SIGCOMM 2016) conference in Brazil, uses reflections to
convert Bluetooth signals from nearby mobile devices into Wi-Fi
transmissions over the air. The system relies only on common mobile devices
to produce Wi-Fi signals that consume 10,000 times less energy than
conventional techniques. Bluetooth devices randomize data transmissions
using a process called scrambling, says UW professor Shyam Gollakota. We
figured out a way to reverse-engineer this scrambling process to send out a
single tone signal from Bluetooth-enabled devices such as smartphones and
watches using a software app. To remove the unwanted, bandwidth-hungry
mirror image copy of signals created by the backscattering process, the
researchers employed single sideband backscatter, says UW doctoral student
Bryce Kellogg. That means that we can use just as much bandwidth as a Wi-Fi
network and you can still have other Wi-Fi networks operate without
interference, he notes. Among the proof-of-concept demos the team built
were a smart contact lens and an implantable neural recording device.Â*View
Full Article


Chinas Baidu to Open Source Its Deep Learning AI Platform,Â*SiliconANGLE
(08/31/16) Robert Hof

Chinas Baidu on Thursday announced it will make its artificial intelligence
(AI) software, PArallel Distributed Deep LEarning (PaddlePaddle), publicly
available on GitHub. PaddlePaddle lead developer Xu Wei says the software
is designed to be used by a wide range of coders, even those who are not
expert in deep learning. You dont need to be an expert to quickly apply
this to your project, Xu notes. You dont worry about writing math formulas
or how to handle data tasks. Xu also says PaddlePaddle needs considerably
less code than certain alternatives. For example, he says a
machine-translation model based on PaddlePaddle requires only a fraction of
the written code other AI platforms need, while existing models can be
applied to new problems without demanding complex equations. Xu says the
advantage of open sourcing AI algorithms is the potential to attract more
deep-learning engineers. More important as a competitive differentiator
than the algorithms themselves is the data they collect, with 451 Researchs
Peter Christy noting, the breakthroughs are much more in how you gather and
use training datasets.Â*View Full Article

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