#Researchers Increase Energy-Burning Brown Fat cells A team of researchers has discovered a way to increase energy-burning human brown fat cells
piston-driven engine that generates electricity causing a light to flash, and a rotary engine that drives a miniature car.
The latest buzz in the information technology industry regards he Internet of thingsthe idea that vehicles, appliances, civil-engineering structures, manufacturing equipment,
an MIT graduate student in electrical engineering and computer science and first author on the new paper. e need to regulate the input to extract the maximum power,
a professor in the Department of Electrical and Computer engineering at UC San diego and the senior author on the Science paper. ur approach conditions the information before it is sent even,
The researchers created an algorithm that analyzes the percentage of photons absorbed by each filter,
which are needed for brief transmissions of data from wearable devices such as heart-rate monitors, computers, or smartphones, the researchers say.
Consumers are very sensitive to the size of wearable devices. The innovation is especially significant for small devices,
Sesame street and other children programming is delivered on mobile devices to young children. A third-party study found children in the program showed significant gains in comprehension, language and word knowledge.
The need is certainly realone of the primary drivers for smart city upgrades throughout the world has been an influx of people from rural and outlying areas
or cameras and algorithms or satellite GPS, this is guided by a cable that emits a electromagnetic signal.
Use information technology to infuse intelligence and visibility into the power grid. This will enable utilities to better monitor
innovative businesses are being built around application programming interfaces (APIS) --which provide pre-built cloud resources for the underlying forms and functions for new businesses and concepts.
and was not a real EHR through a group it funded called the Certification Commission for Health Information technology (CCHIT).
Our lab works on personalized information systems. They take the form of whatever the task is
Information technology is at the heart of successful share models, and sensors are a critical part of that mix
and fortunately, Dexcom supplied an API (application programming interface) library as part of its software installation. It took about 3 hours to code A c#program that polled the receiver
Using the same C# program as before, I ran commands and captured the USB traffic as it flowed between my computer and the receiver.
I shared my C# program with him and continued to refine the Android app over the summer,
and in early 2014, we made the C# uploader, Android app, Pebble watch, and Nightscout code open source. Subsequently,
algorithms will check reports from neighboring sensors to determine whether the vibration was localay, from a truck going byr felt elsewhere.
#Full HD Voice Will Soon Give Your Phone an Audio Upgrade HD Voice, the first major upgrade to telephone sound quality since the vacuum-tube era, has finally become widely availableust in time for a new generation of phone service called Full-HD Voice to take its place.
At the Mobile World Congress in Barcelona earlier this year, Fraunhofer IIS (Institute for Integrated circuits) demonstrated a system based on a combination of powerful standard algorithms that can encode
and decode in real time the full audio spectrum to 20 kilohertz in stereo. Switching to Full HD
along with data traffic, incorporating algorithms that can recover from packet loss, which turns today Voice over internet Protocol (Voip) calls into choppy, unintelligible hash.
The technology includes algorithms that encode music and other nonspeech audio, sounds that are mangled typically by codes optimized to squeeze many voice calls into narrow slices of the spectrum.
Most 4g smartphones include dedicated circuits running algorithms to code and decode 7, 000-Hz HD Voice,
Its speech compression algorithms are more complex and powerfulthan those used for the decade-old HD Voice system,
The codec also includes other algorithms developed to compress music. The separate algorithms are vital
because speech and music are compressed in different ways. Voice compression typically relies on algorithms called code-excited linear prediction (CELP),
which is built on the physics underlying the human vocal system. CELP can reduce the data rate of voice signals by about a factor of 10. hat coding did a good job on speech
says Richard Stern, an electrical and computer engineering professor at Carnegie mellon University, in Pittsburgh. Music-compression algorithms,
such as the MP3 and AAC codecs used for streaming audio, are optimized for human auditory perception. For example, the algorithms don bother to accurately reproduce the soft components of sounds likely to be masked by louder sounds at other frequencies and times.
That method can represent a wider range of sound, but it requires more bits per second than a speech-based codec,
containing algorithms for both voice and music, and it switches between them as needed. The new voice algorithms are substantially more complex than those of the decade-old 7, 000-Hz codec.
Rather than being developed around characteristics of specific languages, as earlier codecs were, these are nearly language independent.
The music part is the latest low-latency version of the AAC algorithm, developed for real-time streamed communications.
With no need for network upgrades, Baumeister says, ou could conceptually roll out service this year,
#Damage Recovery Algorithm Could Make All Robots Unstoppable For the last three years, wee been watching as the hexapods created by Antoine Cully
Using an exceptionally clever algorithm, the robots have demonstrated that they can shrug off absurd amounts of damage,
This illustrates how it possible to endow just about any robot with resiliency via this algorithm,
Recovering from damage is just one application for this algorithm: it can also be used to adapt to different terrain,
Then the algorithm figures out how to administer that dose from one minute to the next to keep the glucose levels within safe bounds.
A slew of improvements in sensors, actuators, algorithms, and insulin are coming together to create the artificial pancreas.
hooked through a cellphone with an algorithm and to a Roche pump, linked to it by a Bluetooth signal,
when its algorithm merely predicts that the patient blood sugar will drop. It on the market in Australia and is set to sell in Europe later this year.
Pumps clog, algorithms misfire, sensors get walled off by scar tissue. Some of the recent technical advances are proprietary and still under wraps,
Besides the sensor and the pump are the algorithms, the secret sauce that allows the artificial pancreas to analyze,
A third kind of algorithm tries to model human physiology, for instance by considering how quickly food passes through your system
and how long the insulin takes to work. he beauty of this approach is that it like chess programming:
Tuning these algorithms requires big data, gathered from both the individual patient and the larger community of patients.
He says his algorithms learn by doing and so adapt to the patient. he algorithm analyzes during the day
and between days for short-term learning and also longer term, Hovorka says. f somebody goes skiing,
Every 10 to 12 minutes we run the algorithm for predictive control. We have a number of models running in parallel,
this allows a number of smart switching algorithms to be used, says Harper. he energy savings come
and picked up different neurons. ur decoding algorithms took that into account, Andersen says. If a given electrode was no longer contributing useful information to the decoding of a goal location
for example, the algorithm would ignore its signal and substitute other inputs. Andersen thinks such adaptive algorithms may enable a wide range of BCIS to record reliably over time.
Most of the prior studies in which paralyzed people used implanted BCIS were conducted by John Donoghue, director of Brown University Institute for Brain science and a pioneer in the use of implants in the motor cortex.
says Boubacar Kante, assistant professor of electrical and computer engineering at UCSD, who led the work, which appears in the latest issue of Progress in Electromagnetics Research.
But computing power is not growing as fast as it has in the past. On Monday, the June 2015 listing of the Top 500 most powerful supercomputers in the world revealed the beginnings of a plateau in performance growth.
Computing hardware development projections are based on Moore Law which predicts that the number of transistors on integrated circuits will double about every two years, causing an exponential growth in performance.
the professor of electrical and computer engineering who led the research. The Rice university engineers called their answer i-Fi in Active TV Channels or WATCH.
may have just been given a boost that moves it from mere promise to likely future backbone of computing.
and make possible the continued trend towards ever more powerful computing. his is a discovery in the true sense,
tart programming now, get hired in months alongside ALPS and other career education programs. Trend:
Instead, Digit relies on an algorithm that determines how much it should move from one account to another,
and address the needs of upgrade users that aspire to premium phones, but cannot afford Apple or Samsung high-end products,
#Girls Who Code Expands To Get More Young Women In Computer science Majors The computer science gender gap struggle in Silicon valley is real.
The 7-week program pairs girls interested in computer science education with field trips to top tech companies such as Twitter and Square.
CA. She says she didn think she was capable of programming before participating in the program. would say h I don know what I doing.
She told Techcrunch that there are actually more girls than boys in her computer science class now, thanks to her involvement with Girls Who Code.
This is Amazon third scripted show after its entry into original programming last year, and the show itself has been nominated for Best Comedy,
In its blog post the company reiterated that the accuracy of Google translate depends on members of its Translate Community who supplement the tool s algorithms by correcting translations
The virtual machine allowed you to make the best use of your resources on a single machine
By applying this virtual machine concept across the entire data center, you create a single pool of resources that you can manipulate any way that you like
Finally, you can use it with private cloud infrastructure services including virtual machines, bare metal and Openstack.
has defined host/virtual machine/container interactions for networking. Critical portions of OVS are included now directly in the Linux kernel,
with a smart dinosaur toy that supports full speech recognition and can chat with kids, tell them jokes
After graduating from university with a degree in computer science Izak created an ipad app that was inspired by his younger brother Oriel who has autism.
This allows for conference calls with whiteboarding for drawing out concepts without requiring everyone to use a teleconferencing app that looks like it was made by a mediocre Java engineer with a long checklist of features to include and no real grasp on UX.
so that no power is needed for the keyboard. n a paper detailing the research project called Personalized Keystroke Dynamics for Self-Powered Humanachine Interfacing published in the ACSNANO journal the scientists argue that algorithms which can identify who is typing by analyzing keystroke timing are limited more than their hardware-based
and the learning algorithms will find the patterns, or at least be able to predict likelihoods with decent accuracy.
In testing of its algorithms it says it has measured measured id-step accuracyin the 90%range of predicting volume a day ahead,
a little bit there are, based on how this algorithm has performed in the past. If you have a sense of what that distribution looks like you can make your decision based on the relative costs,
and used that combination to be able to say who are the patients who are likely to fall. e do use a whole bunch of machine learning algorithms that help take out any unknowns in the equation,
and use the source code to create encrypted apps. Whatsapp recently incorporated Open Whisper System code into the Android version of its app. e want as many people as possible to have embedded the capability within their apps
and previously worked at Microsoft Research as well as other computer science researchers like Yann Lecun who are looking for better ways to teach computers how to recognize objects and speech.
Filkhedma A concierge for household services Baby Boons modern baby ecommerce Wallstreetchamber Which claims to have an algorithm for automated share investing.
timer settings and a learning algorithm that the company claims can save you up to 40 percent on your home heating and cooling bills over time,
Oyeniyi has a Masters in Computer science and Elodimuor one in Economics. The system is live
Javascript is its programming language. Over the years, however, wee seen more and more efforts that allow developers to work around some of the limitations of Javascript by building compilers that transpile code in other languages to Javascript.
Some of these projects focus on adding new features to the language (like Microsoft Typescript) or speeding up Javascript (like Mozilla asm. js project.
Now, many of these projects are starting to come together in the form of Webassmbly. The new format is meant to allow programmers to compile their code for the browser (currently the focus is on C/C++,
with other languages to follow), where it is executed then inside the Javascript engine. Instead of having to parse the full code,
though, which can often take quite a while (especially on mobile), Webassembly can be decoded significantly faster The idea is that Webassembly will provide developers with a single compilation target for the web that will,
Javascript files are simple text files that are downloaded from the server and then parsed and compiled by the Javascript engine in the browser.
The Webassembly team decided to go with a binary format because that code can be compressed even more than the standard Javascript text files
and because it much faster for the engine to decode the binary format (up to 23x faster in the current prototype) than parsing asm. js code, for example.
In this early stage, the team also plans to launch a so-called polyfill library that will translate Webassembly code into Javascript
Over time then, the teams will build more tools (compilers, debuggers, etc. and add support for more languages (Rust,
Go and C# ,for example). As Javascript inventor (and short-term Mozilla CEO) Brendan Eich points out today,
once the main browsers support the new format natively, Javascript and Webassembly will be able to diverge again.
The team notes that the idea here is not to replace Javascript, by the way, but to allow many more languages to be compiled for the Web.
Indeed, chances are that both Javascript and Webassembly will be used side-by-side and some parts of the application may use Webassembly modules (animation, visualization, compression, etc.),
while the user interface will still be written mostly in Javascript, for example. It not often that we see all the major browser vendors work together on a project like this,
so this is definitely something worth watching in the months and years ahead s
#Bringing Eye Exams To The Palm Of A Doctor Hand, Smart Vision Raises $6. 1 Million Commercializing a new tool to bring the basic eye exam into the palm of a doctor hand
Everyone talks about the phenomenal computing power available in mobile devices, but Smart Vision tech is one of the few that harnesses mobile computing in a novel way that make the device a new technology platform for healthcare.
It been two years since Albanese and Zhou first concocted the idea that would become Smart Vision Labs. The two former colleagues reconnected at NYU where Zhou was studying business at Albanese alma mater.
Then the same algorithms can find similar audiences on other websites and present the ads to them.
With enough data and a good algorithm the analytics companies say they can determine just which ads made a difference.
A favorable product review in Consumer Reports or a celebrity endorsement at the Oscars falls outside the algorithm.
In theory the algorithms should be able to allocate budget to advertising networks that police their inventory to avoid phony ads.
#Laser-Radio links Upgrade the Internet The rise of Wi-fi and cellular data services made Internet access more convenient and ubiquitous.
During the 1990s and 2000s computer scientists repeatedly attempted to design algorithms circuits and neural networks that could perform this trick.
But the fundamental process of computing contains an important additional element. This is an external memory
and read from during the course of a computation. In Turing s famous description of a computer the memory is the tickertape that passes back and forth through the computer and which stores symbols of various kinds for later processing.
Since this form of computing differs in an important way from a conventional neural network Graves
Our experiments demonstrate that our Neural Turing Machine is capable of learning simple algorithms from example data
and of using these algorithms to generalize well outside its training regime say Graves and co. That is an important step forward that has the potential to make computing machines much more brainlike than ever before.
But there is significant work ahead. In particular the human brain performs a clever trick to make sense of complex arguments.
what the company CEO and founder Rony Abovitz has called he most natural and human-friendly wearable computing interface in the world.
and combine them in ways no one has managed yet to do. think people are starting to realize this is the future of building consumer devices he says. ut it involves big challenges at the intersection of optics, electronics, algorithms,
and reprogrammed the prosthesis with algorithms that would allow it to execute the necessary rotations.
or building wearable devices that can dramatically boost its abilities. I admire Hugh s creativity and unique approach and his drive says Woodie Flowers SM 68 ME 70 Phd 72 an emeritus professor of mechanical engineering who helped supervise Herr s graduate research work.
Ali Shakouri a professor of electrical and computer engineering at Purdue University says the cost savings sound plausible given the material being used
Some engineers for instance have used the idea of grid cells as inspiration for new algorithms to control robots or autonomous submarines.
Not Programming Eugene Izhikevich thinks you shouldn t have to write code in order to teach robots new tricks.
Instead of programming you show it consistent examples of desired behavior. Izhikevich s startup Brain Corporation based in San diego has developed an operating system for robots called Brainos to make that possible.
while faster than programming it produces less predictable behavior. You wouldn t want to use the technique to ensure that an autonomous car could detect jaywalkers for example he says.
In a mental flash he had pictured a strand of DNA threading its way through a microscopic pore.
His flash of insight was that a molecule passing through one of these pores especially a long molecule like DNA would continuously change the blob's electrical properties.
perceptual computing business unit. None of those partners showed off what they re working on at the event this week.
and which also have the potential to store much more energy than conventional lithium-ion batteries (see onger-Lasting Battery Is Being tested for Wearable devices.
but the patient-identifying system has broader applications says Anil Jain a distinguished professor at Michigan State university s Computer science and Engineering Department and coauthor of the paper.
#Google Launches Effort to Build Its Own Quantum computer Google is about to begin designing and building hardware for a quantum computer a type of machine that can exploit quantum physics to solve problems that would take a conventional computer
which claims to make the first commercial quantum computer. And last year Google purchased one of D-Wave s machines.
Martinis has spent more than a decade working on a more proven approach to quantum computing and built some of the largest most error-free systems of qubits the basic building blocks that encode information in a quantum computer.
We would like to rethink the design and make the qubits in a different way says Martinis of his effort to improve on D-Wave s hardware.
We think there s an opportunity in the way we build our qubits to improve the machine.
Martinis has taken a joint position with Google and UCSB that will allow him to continue his own research at the university.
That s because qubits working together can use the quirks of quantum mechanics to quickly discard incorrect paths to a solution
However qubits are tricky to operate because quantum states are so delicate. Chris Monroe a professor who leads a quantum computing lab at the University of Maryland welcomed the news that one of the leading lights in the field was going to work on the question of
whether designs like D-Wave s can be useful. I think this is a great development to have legitimate researchers give it a try he says.
and Jeff Bezos Bet on Quantum computing). There is no question that D-Wave s machine can perform calculations.
And research published in 2011 showed that the machine s chip harbors the right kind of quantum physics needed for quantum computing.
But evidence is lacking that it uses that physics in the way needed to unlock the huge speedups promised by a quantum computer.
Martinis s previous work has been focused on the conventional approach to quantum computing. He set a new milestone in the field this April
when his lab announced that it could operate five qubits together with relatively low error rates.
Larger systems of such qubits could be configured to run just about any kind of algorithm depending on the problem at hand much like a conventional computer.
To be useful a quantum computer would probably need to be built with tens of thousands of qubits or more.
The chip at the heart of D-Wave s latest machine has 512 qubits but they are wired into a different more limited component known as a quantum annealer.
It can only run a specific algorithm used for a specific kind of problem that requires selecting the best option in a situation with many competing requirements for example determining the most efficient delivery route around a city.
Martinis thinks his technology for fabricating qubits could make better quantum annealers. Specifically he hopes to make one
whose qubits can more stably maintain a quantum state known as a superposition effectively both 0 and 1 at the same time.
The qubits of D-Wave s machine can maintain superpositions for periods lasting only nanoseconds.
Martinis has built qubits that can do that for as long as 30 microseconds he says. Martinis makes his qubits from aluminum circuits built on sapphire wafers
and chills them to 20 millikelvin a fraction above absolute zero so that they become superconducting. D-Wave s chip requires similar cooling to operate
Martinis is in the process of switching to making his own qubits on silicon and believes certain electrical insulator materials used in D-Wave s chips may be limiting its performance.
and that Google S d-Wave computer will be upgraded with a new 1000 qubit processor when it becomes available e
The trick is based on the fact that the roundelectrical potential in many computers fluctuates according to the computation that is being performed by its processorncluding the computations that take place
It is possible to avoid such attacks by adding random data to computations. The developers of one popular free cryptographic software package, Gnupg, incorporated such a patch into the latest version of their software a
#Longer-Lasting Battery Is Being tested for Wearable devices A type of battery that could eventually store twice as much energy as a conventional one could be about to move beyond niche applications to wearable devices phones and even electric cars.
however that one of the first commercial applications of its equipment will likely be making batteries for wearable devices such as smart watches where size is a serious limitation.
says Dharmendra Modha, chief scientist for brain-inspired computing at IBM. Programming the chip involves choosing
In recent years, major breakthroughs in image analysis and speech recognition have come from using large, simulated neural networks to work on data (see eep Learning.
One downside is that IBM chip requires an entirely new approach to programming. Although the company announced a suite of tools geared toward writing code for its forthcoming chip last year (see BM Scientists Show Blueprints for Brainlike Computing,
even the best programmers find learning to work with the chip bruising, says Modha: t almost always a frustrating experience.
The battery-free Wi-fi devices are an upgrade to a design the same group demonstrated last yearhose devices could only talk to other devices like themselves (see evices Connect with Borrowed TV Signals and Need No Power Source.
Ranveer Chandra, a senior researcher in mobile computing at Microsoft Research, says the technology could help accelerate dreams of being able to deploy cheap,
Valencell algorithms can also estimate things like the number of calories youe burned. The data is sent then on to your smartphone.
Kevin Bowyer, chair of the University of Notre dame computer science and engineering department, who has studied iris
and coffee makersy the end of the year (see enser, Faster Memory Challenges Both DRAM and Flash.
says Wei Lu, a professor of electrical engineering and computer science at the University of Michigan, and cofounder of Crossbar.
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