the researchers combed through databases of phage genomes looking for sequences that appear to code for the key tail fiber section, known as gp17.
he data you get back from these reflections are very minimal, says Katabi. owever, we can extract meaningful signals through a series of algorithms we developed that minimize the random noise produced by the reflections.
"Since it requires specific mobile data components to be built into the devices, it cannot be extended to other older models,
EE is a digital communications company in Britain. Its mobile and fixed communications services are delivered to consumers, businesses,
Pratson and research analyst Drew Haerer examined data relating to both direct and indirect job growth and loss for each industry.
Data for solar and wind generator operations and maintenance jobs were provided by the industries themselves. Job changes in the coal
protect their data and reduce security riskas three million business subscribers served by 1, 200 employees in 26 countries.
said that while financial data on these unicorns is limited often, few have demonstrated an ability to grow revenues
"Based on historical data, I wouldn't be surprised if a vast majority of these firms fail to live up to their valuations,
Palantir Technologieshich specializes in data analyticsaw its valuation jump to $15 billion in December with its latest funding round.
"The transcripts created by the system also have time data behind each word. This has paved the way for"interactive transcripts"that accompany video content posted by MIT,
To do so, the company drew on third-party data on thousands of Youtube videos that showed significant increases in viewership with the addition of captions.
the calculator crawls the user's channel to tally viewership of noncaptioned videos and, based on that data, estimates the boost in traffic and search-engine optimization,
which computers are turned loose on huge data sets to look for patterns. To make machine-learning applications easier to build,
Calculating the color value of the pixels in a single frame of"Toy story"is a huge computation,
the heavy lifting is done by the inference algorithmhe algorithm that continuously readjusts probabilities on the basis of new pieces of training data.
which brings data to life in just this way sounding the death knell for the two dimensional bar chart.
which translates data into a three dimensional display. The interactive grid of 100 moving columns enables people to understand
and interpret data at a glance. People can also physically interact with data points by touching
filter and compare sets of data easily. The 3d display is radically different to interacting with data on a flat screen.
A month's sales figures for example spring to life and take on a'shape'in front of you,
compare data sets, organise, annotate and drill down into the fine detail.""The team now wants to take their prototype to the next level,
and in public areas to quickly and meaningfully convey data-driven information. He said:""What would it be like
if every pixel on your screen could move? Imagine the possibilities. Our lab works to develop new devices that merge the physical and digital worlds
or underperforming panels is very lowust 0. 1%per year according to new data of 50,000 systems analyzed by the Energy department's National Renewable energy Laboratory (NREL).
Data on 50,000 systems reveal they stand up to hurricanes, hail Kurtz and NREL's Dirk Jordan have analyzed data from 50,000 solar energy systems installed between 2009 and 2013 and discovered that just 0. 1%of all PV systems reported being affected by damaged or underperforming modules per year,
and less than 1%each year had hardware problems. Inverter failures and fuse failures were reported more commonly than panel failure.
but there is very little data on how many of them are living with Cryptosporidium infections. This stems from the difficulties of diagnosing an infection in the field-poor sensitivity and a short window of spore secretion both limit the viability of acid-fast staining,
in order to deal with these roadblocks and transmit accurate genetic data. Lesions in DNA can occur as often as 100,000 times per cell per day.
so it will deliver much more data.""I think that in the LHC Run 2 we will sieve through more data than in all particle physics experiments in the world together for the past 50 years,
"Stroynowski said.""Nature would be really strange if we do not find something new.""SMU is active on the LHC's ATLAS detector experimentwithin the big LHC tunnel,
That's a lot of collision data, says SMU physicist Robert Kehoe, a member of the ATLAS particle detector experiment with Stroynowski and other SMU physicists.
Evaluating that much data isn't humanly possible so a computerized ATLAS hardware"trigger system"grabs the data,
makes a fast evaluation, decides if it might hold something of interest to physicists, than quickly discards
"That gets rid of 99.999 percent of the data, "Kehoe said.""This trigger hardware system makes measurements
"To further pare down the data, a custom-designed software program culls even more data from each nanosecond grab,
reducing 40 million events down to 200. Two groups from SMU, one led by Kehoe, helped develop software to monitor the performance of the trigger systems'thousands of computer processors."
which stores more than 30 petabytes of data from the LHC experiments every year, the equivalent of 1. 2 million Blu-ray discs.
Flood of data from ATLAS transmitted via tiny electronics designed at SMU to withstand harsh conditionsan SMU physics team also collaborates on the design,
construction and delivery of the ATLAS"readout"system an electronic system within the ATLAS trigger system that sends collision data from ATLAS to its data processing farm.
Data from the ATLAS particle detector's Liquid Argon Calorimeter is transmitted via 1 524 small fiber-optic transmitters.
"Failure of any transmitter results in the loss of a chunk of valuable data. We're working to improve the design for future detectors because by 2017 and 2018,
the existing optical data-link design won't be able to carry all the data.""Each electrical-to-optical and optical-to-electrical signal converter transmits 1. 6 gigabytes of data per second.
Lighter and smaller than their widely used commercial counterpart, the tiny, wickedly fast transmitters have been transmitting from the Liquid Argon Calorimeter for about 10 years.
Upgraded optical data link is now in the works to accommodate beefed-up data flow A more powerful data link much smaller and faster than the current one'is in research and development now.
it has the capacity to deliver 5. 2 gigabytes of data per second. The new link's design has been even more challenging than the first
but handles more data, while at the same time maintaining the existing power supply and heat exchanger now in the ATLAS detector.
The link will have the highest data density in the world of any data link based on the transmitter optical subassembly TOSA, a standard industrial package,
Fine-tuning the new, upgraded machine will take several weeksthe world's most powerful machine for smashing protons together will require some"tuning"before physicists from around the world are ready to take data,
so physicists on shifts in the control room can take high-quality data under stable operating conditions.
Sekula said. 10 times as many Higgs particles means a flood of data to sift for gems LHC Run 2 will collide particles at a staggering 13 teraelectronvolts (Tev),
"On paper, Run 2 will give us four times more data than we took on Run 1,
"But each of those multiples of data are actually worth more. Because not only are we going to take more collisions,
and around the world to sift through the flood of data, quickly analyze massive amounts of information,
but some will be more important than others There are a handful of major new discoveries that could emerge from Run 2 data,
They designed a pixel that can not only measure incident light but also convert the incident light into electric power.
At the heart of any digital camera is an image sensor, a chip with millions of pixels.
The key enabling device in a pixel is the photodiode, which produces an electric current when exposed to light.
This mechanism enables each pixel to measure the intensity of light falling on it. The same photodiode is used also in solar panels to convert incident light to electric power.
The photodiode in a camera pixel is used in the photoconductive mode while in a solar cell it is used in the photovoltaic model.
Nayar, working with research engineer Daniel Sims BS'14 and consultant Mikhail Fridberg of ADSP Consulting, used off-the-shelf components to fabricate an image sensor with 30x40 pixels.
each pixel's photodiode is operated always in the photovoltaic mode. The pixel design is very simple,
and uses just two transistors. During each image capture cycle, the pixels are used first to record
and read out the image and then to harvest energy and charge the sensor's power supplyhe image sensor continuously toggles between image capture and power harvesting modes.
A custom-developed machine vision system, with four cameras, captures digital images of what's happening in real-time.
the scientists use custom-developed full field measurement algorithms Michopoulos'group has patented now to"take those digital images
"So we do have a very rich database, "says Michopoulos. Computations from robot data predict how materials behave in aircraft A snapped composite specimen is one thing;
a theory of how that material will behave when formed into a jet wing is another.
they were still getting the same results as CRC-ACS because of all the data they'd captured with NRL66. 3."For me,
"NRL collected 12 terabytes of data during the testing period.""Just to tell you how much richness there is in these data,
"he says, out of the 72 loading paths we applied, an MIT student"based one dissertation out of one of these paths."
"Michopoulos wants to offer design engineers a simulation environment based on actual data.""Instead of asking the question,
A robot that has a process to optimize its own performance based on how well it collects data for material characterization."
we can have the machine decide where it wants to go to get the best possible data for characterizing the material in real time."
her team borrowed an error-correction strategy from the field of digital communications. Instead of assigning all possible codes as identifiers of specific RNAS, they use only codes that differ from all others by more than one bit."
Materials database Furthermore, NECADA has integrated an database which can be used to improve construction and design buildings that are adapted to European legislation.
As an open access tool, researchers and crop breeders can submit their own data to Polymarker
within a few days of the poor July export data and other official figures showing factory-gate prices continued their three-year slide in July, touching a six-year
, according to data from National securities Depository Limited (NSDL. The sales helped push the Nifty down 6. 6 per cent in August, its worst monthly performance since November 2011.
Data on Tuesday showed India's economy grew 7 per cent in the April-June quarter from a year earlier, much slower than expected,
#Dell to Acquire EMC in $67 Billion Record Tech Deal Computer maker Dell Inc said on Monday it had agreed to buy data storage company EMC Corp in a $67 billion record technology
and storing data for enterprises.""Dell wants to become the old IBM Corp, a one-stop shop for corporate clients.
where the data collected is fed directly to robots for interpretation. Zecca explores issues such as how people feel about interacting with the robot on an emotional level,
Khazendar team used data on ice surface elevations and bedrock depths from instrumented aircraft participating in NASA Operation Icebridge,
Data on flow speeds came from spaceborne synthetic aperture radars operating since 1997. Khazendar noted his estimate of the remnant remaining life span was based on the likely scenario that a huge,
and study Earth interconnected natural systems with long-term data records. The agency freely shares this unique knowledge
In a modern, multicore chip, every core or processor has its own small memory cache, where it stores frequently used data.
If one core tries to update data in the shared cache, other cores working on the same data need to know.
So the shared cache keeps a directory of which cores have copies of which data. That directory takes up a significant chunk of memory:
In a 64-core chip, it might be 12 percent of the shared cache. And that percentage will only increase with the core count.
When multiple cores are simply reading data stored at the same location, there no problem.
Conflicts arise only when one of the cores needs to update the shared data. With a directory system, the chip looks up
which cores are working on that data and sends them messages invalidating their locally stored copies of it. irectories guarantee that
no stale copies of the data exist, says Xiangyao Yu, an MIT graduate student in electrical engineering and computer science and first author on the new paper. fter this write happens,
core A can keep working away on a piece of data that core B has provided since overwritten that the rest of the system treats core A work as having preceded core B. The ingenuity of Yu
and each data item in memory has associated an counter, too. When a program launches, all the counters are set to zero.
When a core reads a piece of data, it takes out a easeon it, meaning that it increments the data item counter to,
say, 10. As long as the core internal counter doesn exceed 10, its copy of the data is valid.
The particular numbers don matter much; what matters is their relative value. When a core needs to overwrite the data,
however, it takes wnershipof it. Other cores can continue working on their locally stored copies of the data,
but if they want to extend their leases, they have to coordinate with the data item owner.
The core that doing the writing increments its internal counter to a value that higher than the last value of the data item counter.
Say, for instance, that cores A through D have all read the same data, setting their internal counters to 1
and incrementing the data counter to 10. Core E needs to overwrite the data so it takes ownership of it
and sets its internal counter to 11. Its internal counter now designates it as operating at a later logical time than the other cores:
Theye way back at 1, and it ahead at 11. The idea of leaping forward in time is
Now, if core A tries to take out a new lease on the data, it will find it owned by core E, to
Core E writes the data back to the shared cache, and core A reads it,
Tardis also eliminates the need to broadcast invalidation messages to all the cores that are sharing a data item.
you can use this data for, say, 100 cycles, and I guarantee that nobody else is going to touch it in that amount of time.
because if somebody else immediately afterward wants to change the data, then theye got to wait 100 cycles before they can do so.
and re-scan it repeating the process until the desired spatial resolution is achieved before combining the data from each scan using a computer algorithm.
The main limitation to mapping large parts of the brain is the analysis of the data obtained with electron microscopes.
and the second strategy is to develop new algorithms to reconstruct the brain tissue data in a more automated way.
bringing the analysis step closer to data generation. The researchers first trained their system with existing data sets from retina and cortex before performing an automated test of new data.
Helmstaedter: e were amazed that the new algorithm actually works extremely well for retinal and cortical data.
This is real breakthrough, and an important step towards making connectome analysis a ready-to-use technique in neuroscience labs around the world
The Daimler Inspiration Truck will be tested rigorously on Nevada roads as the company gathers data about the truck performance
All the data in one placesmart meters and growing grids create a lot of data. Schneider Electric is also helping Spain Iberdrola keep better track of 11 million smart meters and advanced monitoring devices.
and analyze data from the meters. This gives the utility better data faster. Customers also get more timely information about their energy usage,
which helps them conserve and better manage their utility bills. System-wide management and consistencysnohomish County PUD, a utility north of Seattle that ranks as one of the largest in the U s.,is upgrading
Itron adaptive technology automatically routes data over the best communications system--radio frequency or power line carrier--at the time for the data and the requirements of the application.
gather real-time data in an effort to prevent outages. By being able to view and analyze data in real-time,
the project will effectively give the company an early warning-system system. When potential faults, oscillations or other disturbances are detected,
#New Memristors Could Usher in Bionic Brains Last month we saw researchers in the US push the envelope of nonvolatile memory devices based on resistance switching to the point where they are now capable of mimicking the neurons in the human brain.
The researchers believe that these nanoscale memory devices promise a future of artificial intelligence network that could enable a so-called bionic brain.
Nili suggests that one of the potential applications for these nano-memory devices could be in replicating the human brain outside of the human body.
One hurdle that needs to be overcome is that electronic health data can be challenging to work with,
and more data is being collected on the electronic health records, and now our algorithms are reaching a point where they can be a real aid to clinicians. t
along with a variety of signal data. The system is described in more detail in a paper that Tan and UCL colleagues Qingchao Chen, Karl Woodbridge,
It comes from Inrix, a road-data provider based near Seattle, and from its partner in the service, Global Weather Corporation.
Up until now, Inrix had gathered basic data from hundreds of millions of moving objects throughout the worldostly cell phones
The new service, called INRIX Road Weather, adds data gleaned from the actions of the caror instance,
we take in their position from GPS signals, data from our weather partner, and then say that at that spotithin 500 metershere is black ice,
safety patrols and law enforcement. he most important data come from a handful of car functions:
Auxiliary data might include barometric pressure, the temperature of the road itself (taken by infrared sensors), barometric pressure,
Transistors act like switches that flick on and off to represent data as zeroes and ones. A key challenge that FETS now face is reducing the power they consume.
longer battery life or lower power consumption in data centers to reduce their costs and greenhouse gas emissions, and ultra-sensitive and low-power biosensors and gas sensors to enhance the Internet of things.
and at 41 x 41 pixels, it sufficient resolution o be able to see how many limbs a person has, according to MIT.
A processor from the company Edico Genome that designed to handle the big data of genetics.
which is designed to deal with genomic data, says Pieter van Rooyen, CEO of Edico Genome.
The data comes from the sequencing machine in a particular file format, which is streamed efficiently through the chip without caching,
and while these identification processes are ticking along the data is constantly being compressed and written to disk. verything takes place roughly at the same time,
Each pixel in an OLED display typically consists of red, green, and blue OLEDS that shine with different brightnesses to produce any desired color.
according to data we pulled from Crunchbase as well as press releases and SEC filings for last year. Surprisingly, this $2. 36 billion figure has surpassed now well-known sectors like fintech ($2. 1 billion) and the former queen of green
According to data from the Cleantech Group, investment in Agtech was relatively flat before 2013. Most tech innovation in agriculture was concentrated narrowly in biotechnology and seed genetics,
Taken together with our data (while recognizing our unique methodological approaches), Agtech subsequently grew 170 percent in 2014
and a confluence of new hardware technologies that freed computation from the desktop and automated multivariate collection of big data.
inexpensive but sophisticated hardware sensors have emerged to automate the collection of massive data sets. With these technology shifts, exciting technologies like drones, AI, satellite mapping, robotics,
data. The tool allows users of Square payments services to click through an ngage your customerslink from their Insights dashboard,
which gives them an overview of their current business collated from data gathered via sales.
Square data is already easier to gather and far more likely to be accurate because it tied directly to the customer payment accounts.
which contain no such contextual data. You can also add your own lists of emails gathered via conventional means.
show you delivery data as well as eadnotifications for your emails. But Square takes the next step here by allowing you to actually see
and data analysis can more reliably predict what youe doing with your phone at any given time.
and its cloud platform for customizing missions and collecting data. With well over $40 million in funding from Andreessen Horowitz and Kleiner Perkins,
and then painstakingly dump the data back to your servers, Airware can handle the whole process.
and the data flows back automatically. Operators can just trace a flight path on a map instead of driving the drone in real-time.
Planes and helicopters can be terribly expensive for collecting this overhead video and measurement data, though.
Assuming you have a reliable data connection, the entire data processing takes less than 10 seconds. Considering current methods require non-portable heavy machinery and computers,
this seems like a godsend for researchers in the field. The team is currently using the tool to etect the presence of malaria-related drug resistance. g
Eyewire sent us about 650gb of the research data generated by their users. Individual neurons were identified
and encoded in this data, and we used that information to generate the surface models that you see and experience.
but correlate directly with the structures in the original source data. I was lucky enough to visit Eyewire office which is based out of a Wework space in Boston to try the game for myself.
In addition to the black boxes, there will be a new database of dangerous persons, new devices to record phone calls, FISA-like metadata collection and more.
#Google Launches Cloud Bigtable, A Highly Scalable And Performant Nosql Database With Cloud Bigtable, Google is launching a new Nosql database offering today that,
is powered by the company Bigtable data storage system, but with the added twist that it compatible with the Apache HBASE API which itself is based on Google Bigtable project.
Cloud Bigtable can be integrated with all the existing applications in the Hadoop ecosystem, but it also supports Google Cloud Dataflow.
It worth noting that this is not Google first cloud-based Nosql database product. With Cloud Datastore, Google already offers a high-availability Nosql datastore for developers on its App Engine platform.
and enterprises where extensive data processing is required, and where workloads are more complex, Oonner tells me. or example,
if an organization needs to stream data into, run analytics on and serve data out of a single database at scale Cloud Bigtable is the right system.
Many of our customers will start out on Cloud Datastore to build prototypes and get moving quickly,
and their data processing needs become more complex. The new service is now available in beta,
who can use the data to regulate dosage or recommend a different type of medication,
Miguel says. y analyzing data at a macro level, wee going to be able to tell what works
Special scanners are used to match these patterns to a database. A few years later, Christoph von der Malsburg from the University of Bochum in Germany developed a system known as ZN-Face that was capable of making facial matches on imperfect images.
A well-built 8 megapixel camera is plenty for all nonprofessional uses. More has stopped being better.
But Intel new Realsense/Project Tango phone concept shows there is still more valuable data to be captured:
for which consumer applications no amount of megapixels alone could achieve. Exploiting depth is the only logical choice mobile device manufacturers have
and doctors search through pharmaceutical research, sourced from eight NIH-and FDA-approved medical databases,
and analysing the data was developed in-house and around Rs 100 crore value could be put for that,
Currently Isro uses the space debris data provided by US space agency Nasa. The commissioning of MOTR would provide real-time data for Isro."
"The project got the green signal in 2012 with a target to get the radar ready by February 2015
and analysing the data was developed in-house and around Rs 100 crore value could be put for that,
Currently Isro uses the space debris data provided by US space agency Nasa. The commissioning of MOTR would provide real-time data for Isro."
"The project got the green signal in 2012 with a target to get the radar ready by February 2015
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