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,
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
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
Compilers are computer programs that translate high-level instructions written in human-readable languages like Java or C into low-level instructions that machines can execute.
Most compilers also streamline the code they produce, 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. But as it turns out,
compilers can be overaggressive, dispensing not only with functional code but also with code that actually performs vital security checks.
that automatically combs through programmerscode, identifying just those lines that compilers might discard but which could, in fact, be functional.
and compilers should remove it. Problems arise when compilers also remove code that leads to ndefined behavior
. or some things this is obvious, says Frans Kaashoek, the Charles A. Piper Professor in the Department of Electrical engineering and Computer science (EECS).
f youe a programmer, you should not write a statement where you take some number and divide it by zero.
So the compiler will just remove that. It pointless to execute it anyway, because there not going to be any sensible result.
Kaashoek says. t turns out that the C programming language has a lot of subtle corners to the language specification,
according to the C language specification, undefined for signed integers integers that can be either positive or negative.
The fine print Complicating things further is the fact that different compilers will dispense with different undefined behaviors:
but prohibit other programming shortcuts; some might impose exactly the opposite restrictions. So Wang combed through the C language specifications
and identified every undefined behavior that he and his coauthors Kaashoek and his fellow EECS professors Nickolai Zeldovich and Armando Solar-Lezama imagined that a programmer might ever inadvertently invoke.
i sent them a one-line SQL statement that basically crashed their application, by exploiting their orrectcode,
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
Many researchers see improved interconnection of optical and electronic components as a path to more efficient computation and imaging systems.
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.
Post deposition silver nanowire tracks can be sintered photonically using a camera flash to reduce sheet resistance similar to thermal sintering approaches.
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,
but the fundamentals of computation, mixing two inputs into a single output, currently require too much space and power when done with light.
"Mixing two input signals to get a new output is the basis of computation, "Agarwal said."
The UNSW teams which are affiliated also with the ARC Centre of Excellence for Quantum Computation
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.
touted as a transformational replacement for current hard drive technologies such as Flash, SSD and DRAM. Memristors have potential to be fashioned into nonvolatile solid-state memory
The discovery could have major implications for creating faster and more efficient optical devices for computation and communication.
and systems that will transform signal processing and computation. Ramanathan compares the current state of quantum materials research to the 1950s,
Testing all the different atomic configurations for each material under strain boils down to a tremendous amount of computation Isaacs said.
and IGZO hybrid that achieves more complicated functions and computations, as well as to build circuits on flexible substrates."
The paper's four co-authors come from MIT's departments of physics chemistry materials science and engineering and electrical engineering and computer science.
and you can find the source code for the hives at the project site.##Boing Boing t
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 then flash-chill it without generating mission-ending frost. David Willetts British minister for universities and science called the achievement remarkable.
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.
A Bright Flash From The Sun At 8: 30 p m. Eastern time yesterday a solar flare peaked on the surface of the sun emitting an intense burst of radiation.
in order to see the bright flash of heat giving the image its teal hue. M-class flares can cause some space weather effects On earth like disrupting radio signals.
#Preventing Superbugs By Deactivating Antibiotics With A Flash Of Light Bacterial resistance is becoming one of the most serious problems in the medical world
We were able to build such robust algorithms that they could work over thousands of radar volumes without human intervention says Collis.
C# OMIM making over $97 a month working part time. I kept hearing other people tell me how much money they can make online so
Going Here===B>W w w. F##B4##9.#C# OM<B
#How Arjun Raj Reveals The Inner Workings Of Cells Each year Popular Science seeks out the brightest young scientists and engineers and names them the Brilliant Ten.
since 2009 that the U n. secretary general Ban Ki-moon had nestled a day full of climate change-centric programming into the yearly schedule of the U n. General assembly.
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.
and the vast majority of sellers have their source code and documentation links available right there on the page Petrone says.
while a human not its algorithms is driving. The California DMV disagreed. Knight Science Journalism Tracker m
The emitter translates the message she wants to send into an obscure#five-bit binary system called Bacon's cipher which is more compact than the binary code#that computers use.
The pulses make the receivers see flashes of light in their peripheral vision that aren't actually there.
The results are called phantom flashes#phosphenes)# that seem to show up in different positions in the air which is not spooky at all no.
Flashes appearing in one position correspond to 1s in the emitter's message while flashes appearing in another position correspond to 0s.
We don't know how the receivers keep#track of all that flashing. Perhaps they take notes using a pen and paper.
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:
2) Programming Modeinstead of Wigl moving once it hears a note it stays still and stores it in its memory.
notes as pseudocode! While most robotic toys on the market require a smartphone or a computer for remote control Wigl interacts directly with the child and their instruments.
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.
Programming Edison involves dragging and dropping icons to form a program. The software Edware is open source and compatible with Windows Mac and Linux.
But programming isn#t necessary to start using Edison as the robot has the ability to read special barcodes that activate preprogrammed features such as line-following and obstacle avoidance.
and contains three motors (for rotational movements) onboard computation and a battery that allows for at least one hour of operating time.
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.
This means it has all the necessary sensing actuation and computation on board. Its flexible body is made of silicone rubber.
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.
or 2nd grade can easily play with programming and in the process construct rich models for understanding the world.
â#â##Play-i gets how a developmentally appropriate introduction to programming can pave the way towards a lifelong interest and aptitude in computer scienceâ#saidâ Vibha Sazawal Lecturer and Visiting Research Scientist at the University
However Play-i may be funded the best company with a focus on programming robots at the moment s
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.
The same microcontroller is used also for performing all of the computation necessary for estimation and control there is no computation that is performed offboard.
An interchangeable wireless module (either Wifi or proprietary frequency hopping spread spectrum) allows us to communicate with each unit e g. telemetry and user commands;
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
or more to get the end price due to safety guarding and expensive programming. None of this is necessary with the new Universal Robots.##
and involved a team comprising experts in materials science electronics neuroscience medicine and algorithm programming. Co-author Prof.
and recovers easily thanks to new algorithm In August 2014 Google x announced that they had been secretly developing a drone delivery program to rival Amazon Prime Air.
Since then, researchers at ETH Zurich have developed a new algorithm for robustly controlling a tailsitter flying machine in hover position.
Using the algorithm the tailsitter is able to recover from any orientation, including upside down. ETH has demonstrated not yet its algorithm in real-world conditions (e g.,
, high winds, GPS localization, different payload distributions. However, given the robustness of the solution shown in the video,
The algorithm demonstrated in the video is based on Optimal Control. Optimal trajectories for a set of initial orientations are precomputed
The algorithm is presented in research paper Global Strategy for Tailsitter Hover Control submitted to International Symposium on Robotics Research (ISRR), 2015.
To do that, they employ a special algorithm that calculates the exact interference patterns needed to levitate an object using this ingle-sided emitter.
But with the algorithm help, Drinkwater and his colleagues were able to dictate the bead motion
or danced from side to side. fter we got the algorithm working, we put the bead in
and it just stayed theret was absolutely amazing The algorithm works by constructing the best possible interference patterns,
As the algorithm tunes the phases, the interference pattern and resulting hologram change, enabling researchers to move the bead around.
The algorithm can fashion acoustic holograms of various spatial configurations, but Drinkwater and his team focused on three:
he lab focuses on how to bring computer science to our physical world, how to program our physical world to assemble itself
#Silicon photonics meets the foundry Advances in microprocessors have transferred the computation bottleneck away from CPUS to better communications between components.
a team of MIT researchers developed a domain-specific programming language for generating custom materials based on a set of design specifications.
an associate professor of electrical engineering and computer science and biological engineering. hese bacteriophages are designed in a way that relatively modular.
and Hollywood A team of researchers at MIT Computer science and Artificial intelligence Lab (CSAIL) has believed long that wireless signals like Wifi can be used to see things that are invisible to the naked eye.
we can extract meaningful signals through a series of algorithms we developed that minimize the random noise produced by the reflections.
The system used automated speech recognition software to produce"rough-draft"transcripts, displayed on a simple interface,
where automatic speech recognition software produces transcripts and captions, which are pushed then to the cloud. Then, any of the contracted editors can choose which transcripts to edit.
who co-invented the system in MIT's Computer science and Artificial intelligence Laboratory (CSAIL).""The questions we asked were:
Automatic speech recognition technology seemed like the clear solution. But, as it turns out, the technology is only about 80 percent accurate, at best,
"We had'Javascript for Dummies'books on our desks,"Johnson recalls.""We were figuring it all out on the fly."
#Probabilistic programming does in 50 lines of code what used to take thousands Most recent advances in artificial intelligenceuch as mobile apps that convert speech to textre the result of machine learning, in
computer scientists have begun developing so-called probabilistic programming languages, which let researchers mix and match machine-learning techniques that have worked well in other contexts.
launched a four-year program to fund probabilistic-programming research. At the Computer Vision and Pattern Recognition conference in June, MIT researchers will demonstrate that on some standard computer-vision tasks,
short programsess than 50 lines longritten in a probabilistic programming language are competitive with conventional systems with thousands of lines of code."
"This is the first time that we're introducing probabilistic programming in the vision area, "says Tejas Kulkarni, an MIT graduate student in brain and cognitive sciences and first author on the new paper."
It requires a little work to translate that description into the syntax of the probabilistic programming language,
For their experiments, they created a probabilistic programming language they call Picture, which is an extension of Julia,
Calculating the color value of the pixels in a single frame of"Toy story"is a huge computation,
what probabilistic programming languages are designed to do. Kulkarni and his colleagues considered four different problems in computer vision,
Learning to learn In a probabilistic programming language the heavy lifting is done by the inference algorithmhe algorithm that continuously readjusts probabilities on the basis of new pieces of training data.
In that respect, Kulkarni and his colleagues had the advantage of decades of machine-learning research. Built into Picture are several different inference algorithms that have fared well on computer-vision tasks.
Time permitting, it can try all of them out on any given problem, to see which works best.
so that its inference algorithms can themselves benefit from machine learning, modifying themselves as they go to emphasize strategies that seem to lead to good results."
but probabilistic programming may alleviate rewriting code across different problems, "he says.""The code can be generic
"says Jianxiong Xiao, an assistant professor of computer science at Princeton university, who was involved not in the work."
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