and software engineering as well as technical staff and instructors including myself. Our task was to design and build a functional prototype that would demonstrate three key abilities of the system:(
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
Rethink Robotics Baxterrethink Robotics##new Baxter robot is getting a software upgrade. Big deal? Actually it is.
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This process of measuring, computing, and actuating happens 160 times per second, and the underlying controller is key to achieving robust and dynamic movement.
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.
a professor in the Department of Electrical and Computer engineering at the UC San diego Jacobs School of engineering and the senior author of the study. ull invisibility still seems beyond reach today,
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.
on the photonics side, is the difference in design paradigms between computing and optics. In computers, Kimerling explains,
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."
the progress in micro fabrication technology has revolutionized the world in such fields as computing, signal processing,
For the past several years, Masoud Agah, an associate professor In virginia Tech's Bradley Department of Electrical and Computer engineering
reduced analysis times using temperature and flow programming, as well as fast detection response times suitable for high-speed gas chromatography."
In 2012 it was paused for an extensive upgrade. The new upgraded and supercharged LHC restarts at almost twice the energy
"The ATLAS computers are part of CERN's computing center, which stores more than 30 petabytes of data from the LHC experiments every year, the equivalent of 1. 2 million Blu-ray discs.
T. C. Chang Professor of Computer science at Columbia Engineering, has invented a prototype video camera that is the first to be fully self-poweredt can produce an image each second, indefinitely, of a well-lit indoor scene.
Digital imaging is expected to enable many emerging fields including wearable devices, sensor networks, smart environments, personalized medicine,
the scientists use custom-developed full field measurement algorithms Michopoulos'group has patented now to"take those digital images
Computations from robot data predict how materials behave in aircraft A snapped composite specimen is one thing;
She and her team then devised special binary codes to encode individual RNAS, and labeling and imaging schemes to decode these RNA codes.
Those fluorescent spots are translated to the first bit of the binary code: any RNAS that fluoresce at this step are assigned a 1,
Although 16 rounds of imaging could yield more than 60,000 unique binary codes, the team used only a special subset of these codes to encode their RNAS.
The algorithms that are implemented currently in the system are some of the heuristic classics uch as hill-climbing, simulated annealing, NSGA-II,
The project also involves Essex computer science alumnus Victor Zamudio whose Mexican company Fortito produced the intelligent home prototype Buzzbox used in the experiment.
In one new software tool, we have applied expertise in advanced algorithm development, knowledge on genetics and principles of genome architecture."
which causes them to emit intense flashes of X-ray light. Currently, access to large-scale FELS is limited,
such as a type of cloud computing to share the processing power of future quantum computers, might also be vulnerable to laser damage.
An offboard computer runs the algorithms and sends commands out to the#ying machines via a customized wireless infrastructure.
an MIT graduate student in electrical engineering and computer science and first author on the new paper. fter this write happens,
the Edwin Sibley Webster Professor in MIT Department of Electrical engineering and Computer science realized was that the physical-time order of distributed computations doesn really matter,
The researchers used the NSF-supported DAVINCI supercomputer administered by Rice Ken Kennedy Institute for Information technology n
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.
and the second strategy is to develop new algorithms to reconstruct the brain tissue data in a more automated way.
y using machine learning algorithms, we were able to develop a way to automatically classify brain tissue containing all the synapses.
e were amazed that the new algorithm actually works extremely well for retinal and cortical data.
Once the upgrade is complete management staff will have only one main system to learn. The project will integrate a new outage management system with a distribution management system
and created an algorithm that can predict septic shock and give clinicians more time to treat someone at risk.
The algorithm combined 27 of the most common measurements used to diagnose septic shock and generated a targeted real-time warning score,
These cases hurt the algorithm performance. Current computerized clinical decision support (CDS) models that utilize electronic health records do not account for this kind of censored information.
Saria and her team address this problem by modifying pattern recognition algorithms so the computer can avoid mistaking high-risk patients for low-risk ones.
and now our algorithms are reaching a point where they can be a real aid to clinicians. t
#A Driving App That Crowdsources the Weather It a cold day in winter and youe driving on dry pavement when your dashboard flashes a warning:
The efficient system relies on a computer algorithm that requires just a pinch of human guidance to figure out a patient heart structure from MRI scans.
and allowing the computer algorithm to infer the rest of the patient heart structure across the rest of the MRI scan 200 cross sections.
said Polina Golland, a professor of electrical engineering and computer science at MIT and leader of the project,
an MIT graduate student in electrical engineering and computer science, managed to create a fairly accurate digital 3-D model of each patient heart in just an hour.
The researchers plan to report on their system at the International Conference on Medical Image Computing and Computer Assisted Intervention in October.
Its development could usher in a new generation of portable sensors that can use polarized light for applications ranging from drug screening to quantum computing.
The relentless advance of computing power over the past half-century has relied on constant miniaturization of field-effect transistors (FETS),
UCSB Banerjee suggests that potential applications for these new TFETS may include ultra-low-power electronics and computing,
Its algorithms are tailor-made to identify genetic mutations, and while these identification processes are ticking along the data is constantly being compressed
said Mubarak Shah, computer science professor and director of the Center for Research in Computer Vision at the University of Central Florida, in a press release.
and a confluence of new hardware technologies that freed computation from the desktop and automated multivariate collection of big data.
#Gaming Startup Code Kingdoms Exits Beta On A Quest To Get Kids Coding Changes to the computing curriculum in England,
which arrived last September requiring schools to teach bona fide programming skills to kids as young as five,
Its educational Javascript teaching software targets the six-to 13-year-old age-range and can be played either as a web app via the Code Kingdomssite,
which strips out the gameplay element entirely so it becomes purely a simplified educational tool for teaching Javascript;
and his cofounder spending time volunteering in schools teaching kids programming, as part of corporate social responsibility programs when they worked for Intel and ARM.
In schools they were using the MIT graphical programming language Scratch, but spotted what they saw as an opportunity to update Scratch approach
so they get excited about learning to code computer science, and then hopefully go on because theye excited to actually explore it as a career,
He argues that Scratch is no longer up to scratch for England schools as it does not teach a real programming language which is a requirement of the new curriculum.
having being built for an earlier, desktop computing world, rather than the modern mobile-focused space.
and similarly offers a graphical interface to simplify programming. But Targett argues Kano is a platform on
Of course it is also possible to learn Java coding via making Minecraft mods but Targett reckons that uite a step upin terms of ability required. e want to bridge that gap,
which lets customers create widgets for the Ground Control Station in the C# programming language. These widgets are actually the main reason Airware is sticking with Windows for its tablet app.
and allowing them to submit them to a social computing server. A sample app can be found here.
An algorithm will detect suspicious activity, like if someone is watching videos related to terrorism, and then record everything you do online.
The only problem is that nobody will see this algorithm source code and know what happening, except a new institution in charge of the technical control of intelligence systems.
thus tricking the human eye into thinking it seeing a 3d image, thanks to their proprietary algorithm.
and patented the first algorithms for iris scanning and recognition. The iris is known to display a network of random patterns which are unique to each individual.
comparing the feeds in real time takes lots of computing power, and calibrating multiple cameras gets complicated. However, recent advances in mobile chipsets are beginning to remedy these issues.
Not Another Flash In The Pan Memories of the not-so-memorable attempts at 3d smartphones a few years ago may stir up doubts of this trend.
and instead send messages through a computer algorithm to elec rodes placed around the patient's knees to trigger controlled eg muscle movements.
and instead send messages through a computer algorithm to electrodes placed around the patient's knees to trigger controlled leg muscle movements.
'po. type='text/javascript';'po. async=true; po. src='https://apis. google. com/js/plusone. js';
'po. type='text/javascript';'po. async=true; po. src='https://apis. google. com/js/plusone. js';
Some proposed solutions revolved around complex algorithms or equipping robots with a large number of microphones focused on various positions in the vicinity,
but the algorithm used for the sensor can almost always tell which direction it comes from.
and conductive and resistive inksnto a single 3d printed object, opening up new possibilities for entirely 3d printed wearable devices, soft robots and electronics.
The team demonstrated that silicone elastomers can be printed seamlessly into gradient architectures composed of soft and rigid regions (meaning that for wearable devices,
The robot was designed by MIT Computer science and Artificial intelligence Lab (CSAIL and could eventually allow robots to not only pick up,
These points are configured using a clustering algorithm, allowing them gripper to identify the object in front of it
and thus had to rely on the clustering algorithm to choose the appropriate strength and grasping method (enveloping grasp for larger items, pinching grasp for lightweight ones).
It an entry-level device for the curious, that might just get them excited enough to eventually upgrade to more complex 3d printer models and software.
and Electrical and Computer engineering, respectively, have been working towards using cyber additive manufacturing technology in order to create new metal materials that possess stronger and lighter properties than existing metal materials.
is 3d Systemsgrasp of the evolving reality computing ecosystem, which encompasses 3d scanning, 3d printing, VR,
but there is interest in making it suitable for mass application by converting the Java-based software into an Android app for example,
and reset the cell programming. Dr Ciro Chiappini, first author of the study from the Department of Materials, added:"
Programming self-assembly by base-pairing alone is like writing computer code in machine language. The hope is that this new approach will make it easier to bend DNA origami toward practical ends,
in much the same way the advent of higher-level computer programming languages spurred advances in software engineering.
and act as the upervisorfor a supervised learning algorithm, said David Mayerich, first author of the study.
by using MRI-like technology and proprietary software that uses holographic algorithms. The microscope is called the 3d Cell Explorer.
New possibilities for design Specifically designed for automobile center consoles and dashboards, household machines, wearable devices, industrial user interfaces, commercial applications and consumer devices,
The team is led by principal investigator Ali Passian of ORNL Quantum Information system group. The novel hybrid photonic mode-synthesizing atomic force microscope,
and physical bioscientist Peter Zwart have introduced new mathematical theory and an algorithm, which they call ulti-tiered iterative phasing (M-TIP),
and molecular structure. n order to develop a robust and efficient FXS reconstruction algorithm, we had to solve a number of non-trivial mathematical problems,
says Donatelli of Berkeley Lab Computing Sciences Division. eriving the relation between structure and FXS data involves a substantial amount of harmonic analysis
CAMERA is a joint effort between DOE Office of Advanced Scientific Computing Research and Office of Basic energy Sciences.
and iterative phasing algorithms set the stage for a new way to think about reconstruction from FXS data. he Future of FXSBEAMTIME at the LCLS was awarded recently to the authors as part of a large multi-institutional collaboration to collect FXS data
The work was supported by DOE Office of Science (Office of Advanced Scientific Computing Research and Office of Basic energy Sciences) and by the National institute of health e
said Margaret Murnane, professor of Physics and Electrical and Computer engineering at the University of Colorado,
assistant professor of electrical and computer engineering at UC Davis and the paperssenior author. hat happens is the debris in biological samples,
and Ling Wang in the Department of Electrical and Computer engineering at UC Davis were the other authors of the papers.
assistant professor of electrical and computer engineering at UC Davis and the paperssenior author. hat happens is the debris in biological samples,
and Ling Wang in the Department of Electrical and Computer engineering at UC Davis were the other authors of the papers.
These lasers will be combined with an ultrafast signal acquisition algorithm to increase the sensitivity and minimize errors in perception due to motion that may be induced by patient hand movements.
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.
Future work for Tkaczyk and his colleagues includes developing an automated algorithm for identifying white blood cells,
Xia Zhou, an assistant professor of computer science and co-director of the Dartnets Lab at Dartmouth College,
the 21st annual International Conference on Mobile Computing and Networking. Light plays many roles in our lives
an assistant professor of computer science and co-director of the Dartnets (Dartmouth Networking and Ubiquitous Systems) Lab. Envision a smart space such as the home office
they designed an algorithm to reconstruct human postures using 2-D shadow information with a limited resolution collected by photodiodes embedded in the floor."
a professor in the Department of Electrical and Computer engineering at UC San diego who led the study.
This technique will allow us to build much lower power wearable devices, "said Mercier. Lower power consumption also leads to longer battery life."
"A problem with wearable devices like smart watches is that they have short operating times because they are limited to using small batteries.
when you're using your wearable devices to transmit information about your health, "said Park. Demonstrating magnetic communication with a proof-of-concept prototype The researchers built a prototype to demonstrate the magnetic field human body communication technique.
and send information via Bluetooth to an external laptop that performs complex algorithms to interpret the sign
Jafari is associate professor in Texas A&m Department of Biomedical engineering, associate professor in the Department of computer science and Engineering and the Department of Electrical and Computer engineering,
His research focuses on wearable computer design and signal processing. He is director of the Embedded Signal processing Laboratory (http://jafari. tamu. edu/).About the Center for Remote Health Technologies
and overcome the unmet needs of patients and health care providers through the development of breakthrough remote health care devices, biosignal mapping algorithms,
remote health analytics and information systems that will improve access, enhance quality, and reduce the cost of health care.
Initial analysis of the data dump showed that the passwords were stored on a database after they had been protected using a process known as hashing that employs the bcrypt algorithm.
and Weiss is Professor of Biological engineering and also Professor of Electrical engineering and Computer science at MIT.
but important step,"said Dmitri Strukov, a professor of electrical and computer engineering. With time and further progress, the circuitry may eventually be expanded
"Classical computers will always find an ineluctable limit to efficient brain-like computation in their very architecture,
"This memristor-based technology relies on a completely different way inspired by biological brain to carry on computation."
The computations were performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) X
said Polina Golland, a professor of electrical engineering and computer science at MIT, who led the project. he phrase I heard is that urgeons see with their hands,
Golland and her colleagues will describe their new system at the International Conference on Medical Image Computing and Computer Assisted Intervention in October.
Danielle Pace, an MIT graduate student in electrical engineering and computer science, is first author on the paper
But general-purpose image-segmentation algorithms aren reliable enough to produce the very precise models that surgical planning requires.
Human factors Typically, the way to make an image-segmentation algorithm more precise is to augment it with a generic model of the object to be segmented.
That anatomical consistency could give a segmentation algorithm a way to weed out improbable conclusions about object boundaries.
and allow algorithms to take over from there. Their strongest results came when they asked the expert to segment only a small patch ne-ninth of the total area of each cross section.
and letting the algorithm infer the rest yielded 90 percent agreement with expert segmentation of the entire collection of 200 cross sections.
Prognosis Currently, the algorithm examines patches of unsegmented cross sections and looks for similar features in the nearest segmented cross sections.
This and other variations on the algorithm are the subject of ongoing research. The clinical study in the fall will involve MRIS from 10 patients who have received already treatment at Boston Children Hospital.
a professor of electrical engineering and computer science at MIT and the senior author on the new paper. ur goal is not to prove that our model is the best model to do this kind of thing;
First author on the paper is Adrian Dalca, an MIT graduate student in electrical engineering and computer science and a member of Golland group at MIT Computer science and Artificial intelligence Laboratory.
The researchers are presenting the paper at the International Conference on Medical Image Computing and Computer Assisted Intervention this week.
They then characterize each scan in the training set for their machine-learning algorithm as a deformation of the template.
Future work for Tkaczyk and his colleagues includes developing an automated algorithm for white blood cell identification,
REUTERS/Dado Ruvicpeople pose in front of a display showing the word'cyber'in binary code, in this picture illustration taken in Zenica December 27, 2014.
When it comes to finding security holes in a company's information system, people hired to hack into a company's systems start with
Overtext Web Module V3.0 Alpha
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