The algorithm that computes the image to be displayed onscreen can exploit that redundancy allowing individual screen pixels to participate simultaneously in the projection of different viewing angles.
The MIT and Berkeley researchers were able to adapt that algorithm to the problem of vision correction so the new display incurs only a modest loss in resolution.
Machine learning algorithms track facial cues focusing prominently on the eyes eyebrows and mouth. A smile for instance would mean the corners of the lips curl upward and outward teeth flash and the skin around their eyes wrinkles.
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.
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.
Kaliouby says training its software s algorithms to discern expressions from all different face types and skin colors.
A novel control algorithm enables it to move in sync with the wearer s fingers to grasp objects of various shapes and sizes.
To develop an algorithm to coordinate the robotic fingers with a human hand the researchers first looked to the physiology of hand gestures learning that a hand s five fingers are highly coordinated.
The researchers used this information to develop a control algorithm to correlate the postures of the two robotic fingers with those of the five human fingers.
Asada explains that the algorithm essentially teaches the robot to assume a certain posture that the human expects the robot to take.
and Computer science when the research was done. After an initial deployment involving 21 people who used openpds to regulate access to their medical records the researchers are now testing the system with several telecommunications companies in Italy and Denmark.
For years, Li-Shiuan Peh, the Singapore Research Professor of Electrical engineering and Computer science at MIT, has argued that the massively multicore chips of the future will need to resemble little Internets,
says Bhavya Daya, an MIT graduate student in electrical engineering and computer science, and first author on the new paper. ou can also have multiple paths to your destination.
a professor of electrical engineering and computer science at the University of Michigan. heir contribution is an interesting one:
Researchers in the Decentralized Information Group (DIG) at MIT s Computer science and Artificial intelligence Laboratory (CSAIL) believe the solution may be transparency rather than obscurity.
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
and computer science students who were excited to start a company. Around 2010, their interests merged in MIT Sloan 15.390 (New Enterprises),
which can then be recombined using a computer algorithm to recreate the 3-D structure. f you have one light-emitting molecule in your sample,
but by tailoring their algorithm to the architecture of the graphics processing units designed for video games,
Again, the researchers have developed an algorithm that can calculate those patterns on the fly. As content creators move to so-called uad HD, video with four times the resolution of today high-definition video, the combination of higher contrast and higher resolution could make a commercial version of the researcherstechnology appealing to theater owners,
and project through it and use this software algorithm, and you end up with a 4k image.
Spreading pixels Oliver Cossairt, an assistant professor of electrical engineering and computer science at Northwestern University, once worked for a company that was attempting to commercialize glasses-free 3-D projectors. hat
When the anemometers detect optimal wind speed a custom algorithm adjusts the system s tethers to extend
and design build electronics and circuit boards develop algorithms and test winches and cables Looking back Glass credits his undergraduate years on MIT s Solar Electrical Vehicle Team a student organization that builds and races solar
Among the tools that computer scientists are developing to make the profusion of video more useful are algorithms for activity recognition or determining
-recognition algorithm that has several advantages over its predecessors. One is that the algorithm s execution time scales linearly with the size of the video file it s searching.
That means that if one file is 10 times the size of another the new algorithm will take 10 times as long to search it not 1000 times
as long as some earlier algorithms would. Another is that the algorithm is able to make good guesses about partially completed actions
so it can handle streaming video. Partway through an action it will issue a probability that the action is of the type that it s looking for.
It may revise that probability as the video continues but it doesn t have to wait until the action is complete to assess it.
Finally the amount of memory the algorithm requires is fixed regardless of how many frames of video it s already reviewed.
The grammar of actionenabling all of these advances is the appropriation of a type of algorithm used in natural language processing the computer science discipline that seeks techniques for interpreting sentences written in natural language.
For any given action Pirsiavash and Ramanan s algorithm must thus learn a new grammar.
Pirsiavash and Ramanan feed their algorithm training examples of videos depicting a particular action and specify the number of subactions that the algorithm should look for.
But they don t give it any information about what those subactions are or what the transitions between them look like.
Pruning possibilitiesthe rules relating subactions are the key to the algorithm s efficiency. As a video plays the algorithm constructs a set of hypotheses about
which subactions are being depicted where and it ranks them according to probability. It can t limit itself to a single hypothesis as each new frame could require it to revise its probabilities.
The researchers tested their algorithm on eight different types of athletic endeavor such as weightlifting and bowling with training videos culled from Youtube.
They found that according to metrics standard in the field of computer vision their algorithm identified new instances of the same activities more accurately than its predecessors.
Action-detection algorithms could also help determine whether for instance elderly patients remembered to take their medication
if they didn t. We ve known for a very long time that the things that people do are made up of subactivities says David Forsyth a professor of computer science at the University of Illinois at Urbana-Champaign.
and Computer science and a co-author on the new paper. There s actually not that much at five feet around you.
The researchers also developed an algorithm that determines the optimal pattern for the sensors distribution.
In essence the algorithm maximizes the number of different distances between arbitrary pairs of sensors. With his new colleagues at Lincoln Lab Krieger has performed experiments at radar frequencies using a one-dimensional array of sensors deployed in a parking lot
#Computer system automatically solves word problems Researchers in MIT Computer science and Artificial intelligence Laboratory, working with colleagues at the University of Washington, have developed a new computer system that can automatically solve the type of word problems common in introductory algebra classes.
an MIT graduate student in electrical engineering and computer science and lead author on the new paper, the new work is in the field of emantic parsing,
a professor of computer science and engineering and one of his two thesis advisors, and by the University of Washington Yoav Artzi and Luke Zettlemoyer.
a professor of computer science of the University of Southern California. he approach of building a generative story of how people get from text to answers is a great idea.
The researchers also developed an algorithm that lets them calculate the precise amount of dopamine present in each fraction of a cubic millimeter of the ventral striatum.
an MIT Phd student in electrical engineering and computer science (EECS) who invented the technology. With the prize money, the team including students from MIT, the California Institute of technology,
Then algorithms generate fluctuating power depending on terrain to propel a wearer up and forward. When fitting the prosthesis to patients prosthetists can program appropriate stiffness
Using a computer algorithm that traces the shapes of neurons and groups them based on structural similarity,
Using a computer algorithm, they traced along the many branches, known as dendrites, that extend from each cell to connect with other cells.
We re excited about soft robots for a variety of reasons says Daniela Rus a professor of computer science
and engineering director of MIT s Computer science and Artificial intelligence Laboratory and one of the researchers who designed
and Computer science and lead author on the new paper where he s joined by Rus and postdoc Cagdas D. Onal.
Video Melanie Gonick All of our algorithms and control theory are designed pretty much with the idea that we ve got rigid systems with defined joints says Barry Trimmer a biology professor at Tufts University who specializes in biomimetic soft robots.
When we invented this new class of synthetic biomarker we used a highly specialized instrument to do the analysis says Bhatia the John and Dorothy Wilson Professor of Health Sciences and Technology and Electrical engineering and Computer science.
both in MIT Department of Electrical engineering and Computer science, will also exhibit a prototype charger that plugs into an ordinary cell phone
It a window into processes happening at the millisecond and millimeter scale, says Aude Oliva, a principal research scientist in MIT Computer science and Artificial intelligence Laboratory (CSAIL.
Under the tutelage of Frans Kaashoek the Charles A. Piper Professor of Computer science and Engineering Arnold started developing Ksplice for his graduate thesis
and accounting challenging for people with strictly computer science backgrounds Daher says. For help they turned to MIT s Venture Mentoring Service (VMS)
Now your face could be transformed instantly into a more memorable one without the need for an expensive makeover thanks to an algorithm developed by researchers in MIT s Computer science and Artificial intelligence Laboratory (CSAIL.
The algorithm which makes subtle changes to various points on the face to make it more memorable without changing a person s overall appearance was unveiled earlier this month at the International Conference on Computer Vision in Sydney.
It could also be used for job applications to create a digital version of an applicant s face that will more readily stick in the minds of potential employers says Khosla who developed the algorithm with CSAIL principal research scientist Aude Oliva the senior author of the paper Antonio
Torralba an associate professor of electrical engineering and computer science and graduate student Wilma Bainbridge. Conversely it could also be used to make faces appear less memorable
To develop the memorability algorithm the team first fed the software a database of more than 2000 images.
The researchers then programmed the algorithm with a set of objectives to make the face as memorable as possible
and so would fail to meet the algorithm s objectives. When the system has a new face to modify it first takes the image
The algorithm then analyzes how well each of these samples meets its objectives. Once the algorithm finds a sample that succeeds in making the face look more memorable without significantly altering the person s appearance it makes yet more copies of this new image with each containing further alterations.
It then keeps repeating this process until it finds a version that best meets its objectives.
When they tested these images on a group of volunteers they found that the algorithm succeeded in making the faces more or less memorable as required in around 75 percent of cases.
Now Oliva and her team have developed a computational algorithm that can do this for us he says.
and Computer science and lead author on the new paper explains the very idea of forming an image with only a single photon detected at each pixel location is counterintuitive.
much like the human eye, says James Davis, an associate professor of computer science at the University of California at Santa cruz. In contrast,
You can know something about the identity of a person from the sound of their voice so this technology is keying in to that type of information says Jim Glass a senior research scientist at MIT s Computer science and Artificial intelligence Laboratory (CSAIL) and head
A new algorithm that determines who speaks when in audio recordings represents every second of speech as a point in a three-dimensional space.
Stephen Shum a graduate student in MIT s Department of Electrical engineering and Computer science and lead author on the new paper found that a 100-variable i-vector a 100-dimension approximation of the 120000-dimension space was an adequate
It s really an order of magnitude less than the recordings that are used in text-dependent speech recognition. What was completely not obvious
modifying algorithms specified by programmers so that theyl run more efficiently. Sometimes that means simply discarding lines of code that appear to serve no purpose.
says Frans Kaashoek, the Charles A. Piper Professor in the Department of Electrical engineering and Computer science (EECS).
Such a system could be used to monitor patients who are at high risk for blood clots says Sangeeta Bhatia senior author of the paper and the John and Dorothy Wilson Professor of Health Sciences and Technology and Electrical engineering and Computer science.
and Computer science is exploiting a statistical construct called the Bingham distribution. In a paper they re presenting in November at the International Conference on Intelligent Robots
and Systems Glover and MIT alumna Sanja Popovic 12 MENG 13 who is now at Google describes a new robot-vision algorithm based on the Bingham distribution that is 15 percent better than its best
That algorithm however is for analyzing high-quality visual data in familiar settings. Because the Bingham distribution is a tool for reasoning probabilistically it promises even greater advantages in contexts where information is patchy or unreliable.
In cases where visual information is particularly poor his algorithm offers an improvement of more than 50 percent over the best alternatives.
because it allows the algorithm to get more information out of each ambiguous local feature.
Most algorithms Glover s included will take a first stab at aligning the points. In the case of the tetrahedron assume that after that provisional alignment every point in the model is near a point in the object but not perfectly coincident with it.
and Popovic s algorithm to explore possible rotations in a principled way quickly converging on the one that provides the best fit between points.
The current version of Glover and Popovic s algorithm integrates point-rotation probabilities with several other such probabilities.
In experiments involving visual data about particularly cluttered scenes depicting the kinds of environments in which a household robot would operate Glover s algorithm had about the same false positive-rate rate as the best existing algorithm:
Glover argues that that difference is because of his algorithm s better ability to determine object orientations.
He also believes that additional sources of information could improve the algorithm s performance even further.
In November, Romanishin now a research scientist in MIT Computer science and Artificial intelligence Laboratory (CSAIL) Rus,
a professor of electrical engineering and computer science and director of CSAIL. e just needed a creative insight
The sliding-cube model simplifies the development of self-assembly algorithms, but the robots that implement them tend to be much more complex devices.
and designing algorithms to guide them. e want hundreds of cubes, scattered randomly across the floor,
an associate professor of electrical engineering and computer science at the University of Illinois at Urbana-Champaign who was not part of the research team. he possibilities are endless:
On the software side, computer vision and machine-learning algorithms stitch together the images, extract features,
Among other things, this included an algorithm called Kinetic Super Resolution co-invented with Sarma and MIT postdoc Jonathan Jesneck that computationally combines many different images taken with an inexpensive low-resolution
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,
The software algorithms, Aguilar says, vastly reduce computational load and work around noise and other image-quality problems.
an MIT associate professor of electrical engineering and computer science who co-invented the technology. Other cofounders and co-inventors are Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor in Electrical engineering, now chair of CEI technical advisory board;
a workshop hosted by the Department of Electrical engineering and Computer science, where entrepreneurial engineering students are guided through the startup process with group discussions and talks from seasoned entrepreneurs.
Coe-Sullivan, then a Phd student in electrical engineering and computer science, was working with Bulovic and students of Moungi Bawendi, the Lester Wolfe Professor in Chemistry,
Currently plasmonic absorbers used in biosensors have a resonant bandwidth of 50 nanometers said Koray Aydin assistant professor of electrical engineering and computer science at Northwestern University's Mccormick School of engineering and Applied science.
The paper's four co-authors come from MIT's departments of physics chemistry materials science and engineering and electrical engineering and computer science.
computer algorithms designed the 3. 2-meter-tall 16-square-meter room which has a whopping 260 million(!)
The duo used algorithms to let computers randomly design the room which was printed in Zurich. The team designed an overarching model
but many of the details are the work of algorithms.)With a digital version of the room in hand they used sand as the material along with a binding agent to print large chunks of the room--up to 4 meters tall by 1 meter wide by 2 meters deep.
In the Digital Grotesque project we use these algorithms to create a form that appears at once synthetic and organic.
and the algorithms that automate the pulses. MIT News*This article originally referred to MIT's contest as the#Making And Designing Materials Engineering Competition.
We were able to build such robust algorithms that they could work over thousands of radar volumes without human intervention says Collis.
And it appears that the new algorithm has promise. As the signal's frequency was dialed up from 20 to 90 Hertz the rats took larger steps ranging from 2. 9 to 6. 8 centimeters in height.
The new turning algorithm also helped the rats to overcome more complicated obstacles in the form of rodent-sized staircases
In a nutshell the new algorithms make it easier to control the body's movements to a finer degree in an adaptable way--and in real time.
Up next the lab will be testing out the new signaling algorithm in human patients beginning as early as next summer r
and computer science tells Popular Science. It recognizes specific sequences of DNA and cuts it. So what we can do is take that genome-editing tool
Once people tag between 50 to 100 examples an algorithm then classifies similar tweets with 90 percent accuracy.
Once we know what huts without roofs look like from a bird s-eye view we can run algorithms on photos to accelerate damage assessments.
while a human not its algorithms is driving. The California DMV disagreed. Knight Science Journalism Tracker m
Over the past few years engineers working for several universities and companies have tried to make emotion-reading algorithms.
Usually the idea is that such algorithms could go into software for marketing departments (How is this new ad making viewers feel?
Making a face-reading algorithm for private individuals to use is an unusual but not unheard-of idea.
They developed algorithms for controlling the robots that mimic central pattern generators neural circuits in animals often vital to activities such as locomotion chewing breathing
In addition the researchers also developed a way for the robots to learn how to roll on their own with the help of evolutionary algorithms which is valuable for robots operating by themselves on another planet where the rules for movement might differ from those On earth.
In the past decade there have been impressive advances in developing computer vision algorithms for different object recognition-related problems including:
However only very little has been done to explore the benefits of 3d printing and its interaction with computer science in classrooms.
and teachers an adequate tool to cultivate the creativity of students studying in fields such as mechanics computer sciences electronics and 3d printing.
In our laboratory we develop various types of high-speed vision hardware and algorithms that can implement high-speed image processing with a sampling time from 10ms up to 1ms.
The running algorithm used in the ACHIRESÂ robot is different from those typically used in other running robots.
While most running robots use a method based on ZMP-criteria for maintaining stable and balanced posture we introduced a very simple algorithm using high-speed performance of a sensory-motor system without ZMP criteria.
With the robots ready the Nagpal team had to develop an algorithm which could guarantee that large numbers of robots with limited capabilities
The algorithm had to account for unreliable robots that are pushed out of their desired location or block other robots performing their functions.
and algorithms can build large-scale robotic swarms at least in the labs. These swarms have the potential to help us understand natural self-organised systems by providing fully engineered physical systems on which to do experiments.
and technical challenges such as compensating unwanted bending in the mechanical structure (related to building larger complex 3d structures) developing the best-suited algorithms for reconfiguration
The latest in soft-bodied robots created by team of engineers of the Computer science and Artificial intelligence Laboratory (CSAIL) at the Massachusetts institute of technology.
and Computer science and Director of CSAIL Cagdas Onal Assistant professor of Mechanical engineering at the Worcester Polytechnic institute and Andrew Marchese a doctoral candidate in engineering at MIT created the robot to be autonomous.
and at the other end to sensors) and an algorithm to convert signals the team has produced a hand that sends information back to the brain that is so detailed that the wearer could even tell the hardness of objects he was given to Hold in a paper published in Science Translational Medicine in Feb. 2014
The new collaboration will now broaden the areas of computer science and deepen the collaboration between the three partners.
Thanks to their algorithms the robots should be able to react to gestures and touch as well.
We are currently developing learning algorithms that allow the Cubli to automatically learn and adjust the necessary parameters
Furthermore the same momentum wheels can be used to implement a reaction-torque based control algorithm for balancing by exploiting the reaction torques on the cube body
and note that Dndrea is the tech wizard behind Kiva robotic warehouse##the video shows a novel fail safe algorithm that allows an unmanned aerial vehicle to recover
According to Mueller the algorithm allows the vehicle to remain in flight despite the loss of one two or possibly even three propellers.
his video demonstrates an iterative learning algorithm that allows accurate trajectory tracking for quadrocopters executing periodic maneuvers.
The algorithm uses measurements from past executions in order to find corrections that lead to better tracking performance.
and the algorithm provides a means to then transfer the learned corrections from the lower execution speed to higher speeds.
but our video demonstrates you can steer all the robots to any desired final position by using an algorithm we designed.
The algorithm exploits rotational noise: each time the joystick tells the robots to turn every robot turns a slightly different amount due to random wheel slip.
The current algorithm is slow so wee designing new algorithms that are 200x faster. You can help by playing our online game:
www. swarmcontrol. net. The algorithm extends to any number of robots; this video shows a simulation with 120 robots and a more complicated goal pattern.
Our research is motivated by real-world challenges in microrobotics and nanorobotics where often all the robots are steered by the same control signal (IROS 2012 paper).
This steering algorithm is based on piecewise-constant inputs and Taylor series approximations. Taylor series approximations give us a clear method for increasing precision.
The algorithm published in another 2012 IROS article shows that rotational noise improves control but translational noise impairs control.
Our algorithm allowed us to control the final position of n robots but we could not control the final orientation.
The video for our upcoming IROS 2013 paper illustrates this algorithm using robots equipped with laser turrets.
With this we developed our own network layer to handle inter-unit communication as well as algorithms for routing packets time synchronization information fusion etc. on a resource limited embedded system.
The Distributed Flight Array is currently being used at the Institute for Dynamic Systems and Control at ETH Zurich as a modular robotics platform for investigating algorithms in distributed estimation and control.
these models are leveraged then by a branch of mathematics called Control theory to synthesize algorithms for controlling them.
and algorithms that make this demonstration possible and that was just to get to the point where they could do the demos in-house.
and demo their quadrotor tricks at the ETH Flying Machine Arenaâ a 10x10x10m airspace dedicated to the study of control algorithms
Overtext Web Module V3.0 Alpha
Copyright Semantic-Knowledge, 1994-2011