and send data home for analysis . But future spacecraft may be able to do it all on their own.
and after data we have today. Hospital MRI machines can weigh more than a tonne thanks to their strong superconducting magnets making them impractical for the ISS.
because courts cannot be convinced of the authenticity of image data says Purdy. For instance people cannot be given sure a satellite was working on the day in question
Ueda and her team made the observations using data from the ALMA radio telescope. Computer simulations suggested that
Our experiment provides the first actual data of diamonds under such high pressure says Ray Smith at the Lawrence Livermore National Laboratory in California.
The team's data can now be used to improve models of gas giants and the suspected diamond in their depths.
because we can now use direct experimental data to model the deep interiors of carbon-rich planets says Madhusudhan.
The appeal for Google and other firms is the potential to mine profitable data from satellite images.
or by activity from the host star and they say a massive rocky world is the best explanation for the data.
There were good data taken before during and after the supernova and none of these showed obvious signs of a foreground object says Quimby.
Data from NASA's Galileo probe which orbited Jupiter from 1995 to 2003 show clay-like minerals on Europa's surface probably debris from meteor impacts
The subsurface-sea idea is just the simplest possible interpretation of the gravity data cautions William Mckinnon at Washington University in St louis who was involved not in the work.
Laser signals carry more data but the light is almost undetectable by the time it reaches Earth. Now a nanoscale light detector could make such deep-space missives easier to read.
Data must be encoded before it can be sent. The most reliable way of doing this is to vary the time interval between light pulses with a long interval representing a 0 say
But data from orbiters support the idea that the rocks and shadowed craters at both poles contain millions or even billions of tonnes of water ice.
I'd say the data are equivocal at the moment says John Mustard of Brown University in Providence Rhode island.
Joseph Kahn of Stanford university in California also acknowledges the need for higher bandwidth in returning ever larger amounts of data from space missions.
Two years'worth of data still need inspecting including information about the thousands of stars in its field of view.
Fabienne Bastien of Vanderbilt University in Tennessee and colleagues used Kepler data to watch instead for flickers in starlight due to short-lived convection cells or granules on the star's surface.
or asteroseismology signals from sun-like stars says Jørgen Christensen-Dalsgaard of Aarhus University in Denmark who leads a consortium of researchers who analyse Kepler's starquake data.
This is actually the first real data we have that gives us the shape of the tail.
Now Guillem Anglada-Escudé of the University of Göttingen in Germany and his colleagues have reanalysed the original data
The dummy contains instruments that will collect data about the launch to be transmitted back to mission managers before re-entry.
The next drill scoop will have to wait until the planet comes back into Range in the meantime the science team has plenty of data to fuel new discoveries and daydreams.
Roger Clowes of the University of Central Lancashire in Preston UK and colleagues discovered the structure using data from the Sloan Digital Sky Survey the most comprehensive 3d map of the universe.
Added to the time for the other trips your data must take across the rest of the internet,
"Will the space around Earth become crowded with all these satellites vying to route our data?"
So Cahoy and colleagues are working on using light to transfer data instead. Easier to focus
which uses sensor identification badges and analytics tools to track behavioral data on employees providing insights that can increase productivity.
and using that data to build a baseball team. But what if I could say Here s how you need to talk to customers here s how people need to collaborate with each other
Individuals can use that data to boost performance and a company can use that to help set up an environment where everybody s going to succeed.
Readers placed around an office collect the data and push it to the cloud. Individuals have access to their personal data via a Web dashboard
By combining this information with employee-performance data from surveys interviews and objective performance metrics Sociometric can pinpoint areas where management can build more productive offices in ways as surprising as providing larger lunch tables or moving coffee stations to increase interaction.
Accumulating more than 2000 hours of data and comparing that data with survey results they predicted with 60 percent accuracy that close-knit groups of workers who spoke frequently with one another were satisfied more
and got more work done more efficiently. They also found evidence of communication overload where high volumes of email due to lack of face-to-face interaction were causing some employees difficulty in concentrating
and analyzing vast quantities of data related to the diverse types of bacteria within the human body and their interactions with each other and the body s own cells and organs.
but our ability to translate this data into usable knowledge is lagging behind says Arup K. Chakraborty the Robert T. Haslam (1911) Professor of Chemical engineering Physics Chemistry and Biological engineering at MIT and director of the MIT Institute
Prepared to send sizeable chunks of data at any given time the amplifiers stay at maximum voltage eating away power more than any other smartphone component and about 75 percent of electricity consumption in base stations#and wasting
The AMO technology was a new transmitter architecture where algorithms could choose from different voltages needed to transmit data in each power amplifier
This could be done on the transmitting and receiving end of data transfers. This caught the eye of Astrom who had come to MIT after working in the mobile industry for 10 years looking for the next big thing.
but you could see how much data traffic would explode. Fleshing out a business plan from an
Future-proofing technologytoday Eta Devices major advantage is that its technology is able to handle ever-increasing data bandwidths.
along with several MIT graduate students, to test much smaller versions of the device in animals. he Deshpande funding was an absolutely critical element in getting the data necessary to raise capital for Taris,
Indeed, collecting clinical data is a major challenge in spinning biotechnology out of the lab, notes Cima,
Thanks to the data gathered from the study, Cima and Langer were able to launch Taris, with Lee as chief scientist,
collected the data to determine it was thought feasible, I it was something that could make a big impact.
and other packets of data between continents, all at the speed of light. A rip or tangle in any part of this network can significantly slow telecommunications around the world.
and data loss. e now have a set of design guidelines that allow you to tune certain parameters to achieve a particular pattern,
and data can be an effective catalyst for increasing accountability and transparency creating mutual visibility among institutions and individuals.""
The findings need to be validated with more data and it may be difficult to develop a reliable diagnostic based on this signature alone Vander Heiden says.
so it can collect all that data and display that info to a user, says Downey, Airware CEO,
and collects and displays data. Airware then pushes all data to the cloud, where it aggregated and analyzed,
and available to designated users. If a company decides to use a surveillance drone for crop management, for instance,
or wireless gloves to seamlessly scroll through and manipulate visual data on a wall-sized, panoramic screen.
which enabled all surfaces to hold data that could be manipulated with gestures. t literally put pixels in the room with you,
and the data could interact with, and be controlled by, physical objects. They also assigned pixels three-dimensional coordinates.
Authoritatively answering that question requires analyzing huge volumes of data which hasn t been computationally feasible with traditional methods.
So the researchers also analyzed the data on the assumption that only trips starting within a minute of each other could be combined.
In analyzing taxi data for ride sharing opportunities Typically the approach that was taken was a variation of the so-called traveling-salesman problem Santi explains.
Unfortunately the traveling-salesman problem is also an example indeed perhaps the most famous example of an NP-complete problem meaning that even for moderate-sized data sets it can t (as far as anyone knows) be solved in a reasonable amount of time.
if it ran on a server used to coordinate data from cellphones running a taxi-sharing app.
whereas the GPS data indicated that on average about 300 new taxi trips were initiated in New york every minute.
Finally an online application designed by Szell Hubcab allows people to explore the taxi data themselves using a map of New york as an interface.
David Mahfouda the CEO of the car-and taxi-hailing company Bandwagon whose business model is built specifically around ride sharing says that his company hired analysts to examine the same data set that Santi
Making the entire data set available on a queryable basis does seem like a significantly larger lift.
That s when we realized what a change it would be for a hospital to collect data
that uses precalculated supercomputer data for structural components like simulated egosto solve FEA models in seconds.
When app users plugged in custom parameters for problems such as the diameter of that spherical obstacle the app would compute a solution for the new parameters by referencing the precomputed data.
After that, the software will reference the precomputed data to create a highly detailed 3-D simulation in seconds.
Ultimately, pushing the data to the cloud has helped Akselos, by leveraging the age-old tradeoff between speed and storage:
By storing and reusing more data, algorithms can do less work and hence finish more quickly. hese days,
with cloud technology, storing lots of data is no big deal. We store a lot more data than other methods,
but that data, in turn, allows us to go faster, because wee able to reuse as much precomputed data as possible,
he says. Bringing technology to the world Akselos was founded in 2012, after Knezevic and Huynh,
along with Leurent who actually started FEA work with Patera group back in 2000 earned a Deshpande innovation grant for their upercomputing-on-a-smartphoneinnovation. hat was a trigger,
The data shows a loss of almost 1 percent of efficiency per week. But at present even in desert locations the only way to counter this fouling is to hose the arrays down a labor-and water-intensive method.
or human-to-human interaction point capture data and use it to enrich the user experience.
or confusion and pushes the data to a cloud server where Affdex aggregates the results from all the facial videos (sometimes hundreds)
Years of data-gathering have trained the algorithms to be very discerning. As a Phd student at Cambridge university in the early 2000s el Kaliouby began developing facial-coding software.
Back then the data that el Kaliouby had consisted access to of about 100 facial expressions gathered from photos
and training the algorithms by collecting vast stores of data. Coming from a traditional research background the Media Lab was completely different el Kaliouby says.
Already Affectiva has conducted pilot work for online learning where it captured data on facial engagement to predict learning outcomes.
To be able to capture that data in real time means educators can adapt that learning experience
and generated one-third of the DNA sequence data for that project the single largest contribution to the effort.
In the spirit of the Human genome Project the Broad makes its genomic data freely available to researchers around the world.
and disseminate discoveries tools methods and data openly to the entire scientific community. Founded by MIT Harvard
and robotic joint angles multiple times with various objects then analyzed the data and found that every grasp could be explained by a combination of two or three general patterns among all seven fingers.
#Own your own data Cellphone metadata has been in the news quite a bit lately but the National security agency isn t the only organization that collects information about people s online behavior.
At the same time a host of recent studies have demonstrated that it s shockingly easy to identify unnamed individuals in supposedly anonymized data sets even ones containing millions of records.
Their prototype system openpds short for personal data store stores data from your digital devices in a single location that you specify:
Any cellphone app online service or big data research team that wants to use your data has to query your data store
Sharing code not data The example I like to use is personalized music says Yves-Alexandre de Montjoye a graduate student in media arts and sciences and first author on the new paper.
you don t share data. Instead of you sending data to Pandora for Pandora to define what your musical preferences are it s Pandora sending a piece of code to you for you to define your musical preferences
and send it back to them. De Montjoye is joined on the paper by his thesis advisor Alex Sandy Pentland the Toshiba Professor of Media Arts and Sciences;
Although openpds can in principle run on any machine of the user s choosing in the trials data is being stored in the cloud.
In fact applications frequently collect much more data than they really need. Service providers and application developers don t always know in advance what data will prove most useful
so they store as much as they can against the possibility that they may want it later.
Openpds preserves all that potentially useful data but in a repository controlled by the end user not the application developer or service provider.
If we manage to get people to have access to most of their data and if we can get the overall state of the art to move from anonymization to interactive systems that would be such a huge win.
because it allows users to control their data and at the same time open up its potential both at the economic level
and data travels between cores in packets of fixed size. This week, at the International Symposium on Computer architecture, Peh group unveiled a 36-core chip that features just such a etwork-on-Chip in addition to implementing many of the group earlier ideas
or ensuring that coreslocally stored copies of globally accessible data remain up to date. In today chips, all the cores typically somewhere between two and six are connected by a single wire,
a local, high-speed memory bank in which it stores frequently used data. As it performs computations,
it updates the data in its cache, and every so often, it undertakes the relatively time-consuming chore of shipping the data back to main memory.
But what happens if another core needs the data before it been shipped? Most chips address this question with a protocol called noopy,
because it involves snooping on other corescommunications. When a core needs a particular chunk of data, it broadcasts a request to all the other cores,
and whichever one has the data ships it back. If all the cores share a bus,
then when one of them receives a data request, it knows that it the most recent request that been issued.
Similarly, when the requesting core gets data back, it knows that it the most recent version of the data.
But in a network-on-chip data is flying everywhere, and packets will frequently arrive at different cores in different sequences.
The implicit ordering that the snoopy protocol relies on breaks down. Daya, Peh, and their colleagues solve this problem by equipping their chips with a second network, which shadows the first.
The circuits connected to this network are very simple: All they can do is declare that their associated cores have sent requests for data over the main network.
But precisely because those declarations are so simple, nodes in the shadow network can combine them
#Who s using your data? By now most people feel comfortable conducting financial transactions on the Web.
As more of our data moves online a more pressing concern may be its inadvertent misuse by people authorized to access it.
At the same time tighter restrictions on access could undermine the whole point of sharing data. Coordination across agencies and providers could be the key to quality medical care;
which will automatically monitor the transmission of private data and allow the data owner to examine how it s being used.
At the IEEE s Conference on Privacy Security and Trust in July Oshani Seneviratne an MIT graduate student in electrical engineering and computer science and Lalana Kagal a principal research scientist at CSAIL will present a paper
With HTTPA each item of private data would be assigned its own uniform resource identifier (URI) a key component of the Semantic web a new set of technologies championed by W3c that would convert the Web from essentially a collection of searchable
But every time the server transmitted a piece of sensitive data it would also send a description of the restrictions on the data s use.
But HTTPA compliance could become a selling point for companies offering services that handle private data.
if it reuses data supplied by another HTTPA-compliant source. Suppose for instance that a consulting specialist in a network of physicians wishes to access data created by a patient s primary-care physician
and suppose that she wishes to augment the data with her own notes. Her system would then create its own record with its own URI.
But using standard Semantic web techniques it would mark that record as derived from the PCP s record
When the data owner requests an audit the servers work through the chain of derivations identifying all the people who have accessed the data and what they ve done with it.
Redundant storage of the same data on multiple servers serves two purposes: First it ensures that
if some servers go down data will remain accessible. And second it provides a way to determine
whether anyone has tried to tamper with the transaction logs for a particular data item such as to delete the record of an illicit use.
and filled it with data supplied by 25 volunteers. She then simulated a set of transactions pharmacy visits referrals to specialists use of anonymized data for research purposes
and the like that the volunteers reported as having occurred over the course of a year.
in experiments the system efficiently tracked down data stored across the network and handled the chains of inference necessary to audit the propagation of data across multiple providers.
In practice audit servers could be maintained by a grassroots network much like the servers that host Bittorrent files or log Bitcoin transactions s
That why KGS aims to ake buildings betterwith cloud-based software, called Clockworks, that collects existing data on a building equipment specifically in HVAC (heating, ventilation,
The software then translates the data into graphs, metrics, and text that explain monetary losses, where it available for building managers, equipment manufacturers,
is one of a few ventures gathering quipment-level data, gathered through various sensors, actuators, and meters attached to equipment that measure functionality.
Clockworks sifts through that massive store of data, measuring temperatures, pressures, flows, set points, and control commands, among other things.
it helps the software to rapidly equate data with monetary losses. hen we identify that there a fault with the right data,
Seeing building data as an emerging tool for fault-detection and diagnostics, however, they turned to Samouhosphd dissertation,
and a framework for an early KGS module. e all came together anticipating that the building industry was about to change a lot in the way it uses data,
where you take the data, you figure out what not working well, and do something about it,
Liberating data By bringing all this data about building equipment to the cloud, the technology has plugged into the nternet of thingsa concept where objects would be connected, via embedded chips and other methods, to the Internet for inventory and other purposes.
Data on HVAC systems have been connected through building automation for some time. KGS however, can connect that data to cloud-based analytics and extract eally rich informationabout equipment,
Gayeski says. For instance, he says, the startup has quick-response codes like a barcode for each piece of equipment it measures,
so people can read all data associated with it. s more and more devices are connected readily to the Internet,
Gayeski says. nd that data can be liberated from its local environment to the cloud, Grace adds.
and other sensors begins to nlock the data in the residential scale, Gayeski says, GS could adapt over time into that space, as well. o
High-speed 3-D imaging Neurons encode information sensory data motor plans, emotional states, and thoughts using electrical impulses called action potentials,
which currently takes a few minutes to analyze one second of imaging data. The researchers also plan to combine this technique with optogenetics,
Their system can receive data in the form of eight images per frame of video
and nobody has given us labeled training data saying There are two pieces in a dive and seven pieces in a weightlifting and 21 pieces in a hammer throw and these are their names.
Van Voorhis used experimental data gathered in samples specially synthesized by Baldo and Timothy Swager, MIT John D. Macarthur Professor of Chemistry.
The researchers are pleased with the agreement between their experimental and theoretical data especially given the systems being modeled.
but it can benefit from a bunch of extra data that you haven labeled in detail. a
and provides real-time data thanks to using exoelectrogens as sensors. hese bugs are generating electricity,
The study covers prices of thousands of products, drawing on data from four major international firms:
Online pricing data was crapedusing a harvesting technique that Rigobon and Cavallo first developed for the illion Prices Project,
They would also like to collect more data illuminating how companies set prices when new goods are introduced first.
who was involved not in this research. hat nice here is that this is a comprehensive approach to try to get a good amount of data on many different cells.
The researchers believe there may be still more types of neurons that did not appear in their data set
and paper or spreadsheets to track contamination hich makes it nearly impossible to gather large amounts of data,
The startup also collects operational data from the vehicles to inform fleet managers of the best vehicles for the technology usually ones traveling in the stop
As a patient moves the robot arm, the robot collects motion data, including the patient arm speed, movement smoothness, and aim.
For the current study, the researchers collected such data from 208 patients who worked with the robot seven days after suffering a stroke,
The researchers created an artificial neural network map that relates a patient motion data to a score that correlates with a standard clinical outcome measurement.
but the MIT researchers are the first to use it to link fmri and MEG data from human subjects.
and twice in an MEG scanner giving the researchers a huge set of data on the timing and location of brain activity.
Millisecond by millisecond By analyzing this data, the researchers produced a timeline of the brain object-recognition pathway that is very similar to results previously obtained by recording electrical signals in the visual cortex of monkeys,
The MIT researchers are now using representational similarity analysis to study the accuracy of computer models of vision by comparing brain scan data with the modelspredictions of how vision works.
when the data comes back, we can do calculations that are very common in the telecommunications world,
and apply sophisticated computation to the resulting data, Davis says. ormally the computer scientists who could invent the processing on this data can build the devices,
and the people who can build the devices cannot really do the computation, he says. his combination of skills
using data generated from a new type of microscope that Landry built to image the interactions between the carbon nanotube coronas
so this is a step forward in getting more data to address the problem of how to design a target for a specific molecule,
Our data suggested if you block the MK2 pathway tumor cells wouldn t recognize that they had DNA damage
and Dust environment Explorer (LADEE) spacecraft had made history by using a pulsed laser beam to transmit data over the 239000 miles from the moon to Earth at a record-breaking data-download speed of 622 megabits per second (Mbps). This download speed is more than six times faster than the speed achieved by the best
LLCD also demonstrated a data-upload speed of 20 Mbps on a laser beam transmitted from a ground station in New mexico to the LADEE spacecraft in lunar orbit;
and exploration missions to deep space are constrained by the amount of data they can get back to Earth.
and power on their spacecraft for the much higher data return they can get. Q:
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