an assistant professor in the Department of Electrical and Computer engineering at NCSU and a co-author of an open-access paper in the Journal of Applied Physics, from AIP Publishing.
The team used large-scale atomistic computations on the Mira supercomputer at the Argonne Leadership Computing Facility to prove that the effect could be seen not merely at the nanoscale
In Karlsruhe, the methods for signal processing and automatic speech recognition have been developed and applied. n addition to the decoding of speech from brain activity
and machine learning algorithms to extract the most likely word sequence. Currently, Brain-to-Text is based on audible speech.
me two to three years just to get the programming and coding knowledge. he teen invention has been attracting attention
and analyzes them using a machine-learning algorithm. The diagnostic results can be sent back to the phone within one minute.
#Photonics Moves Forward for Future Computing Technology The development of photonic technologies to speed up computing has taken two steps forward,
Optalysys hopes optical processing will accelerate computation by performing processor-intensive tasks at much faster rates and with a significant reduction in energy consumption.
This story appears here as part of a cross-publishing agreement with Scientific Computing World. Sign up for our insidehpc Newsletter u
D-Wave quantum computer runs a quantum annealing algorithm to find the lowest points, corresponding to optimal or near optimal solutions, in a virtual nergy landscape.
Memcomputing is a novel non-Turing paradigm of computation that uses interacting memory cells (memprocessors for short) to store
and algorithms then analyze the sample for total sperm count and motility, or how fast sperm can swim.
and employees who want to get work done on Android-powered smartphones setting up a skirmish on another key front of mobile computing.
Google will also be dueling its biggest rival in mobile computing Apple which forged a partnership with IBM last year to build more iphone
(2) cloud server using Sony analysis algorithm,(3) Skin Analyzer application software, which runs on a dedicated tablet computer and (4) Skin Viewer smartphone application.
an algorithm that Sony developed in 2012. The state of skin is analyzed by applying LED LIGHTS with different wavelengths (such as visible light
which the company says could boost computing power of verything from smartphones to spacecraft. he company unveiled the industry first seven-nanometer chip that could hold more than 20 billion tiny switches or transistors for improved computing power.
Automatic lets you harness the computing power of your car for the sake of fuel efficiency.
the goal is not to compete with electronic computers on traditional computing tasks such as word processing. Rather
7 Robotic Futures"The fundamental limits of computation, such as how fast you can go or how small devices can be,
"We flipped that idea on its head why can't we use computations to manipulate physical entities?"
interactions among the droplets are analogous to computations, the researchers said. The layout of the bars on these new microfluidic chips is analogous to the layout of circuits on microchips, controlling interactions among the droplets.
said Dr. Simon Thomson, a consultant in Pain Management and Neuromodulation at Basildon and Thurrock University Hospitals, UK. he simplicity of the programming software saves valuable time in the operating theatre,
This point-and-click technology automatically calculates the optimal programming configuration to target the selected pain area.
Electrical and computer engineering associate professor Rajesh Menon and colleagues describe their invention today in the journal Nature Photonics.
computing can eventually be millions of times faster, says Menon. To help do that, the U engineers created a much smaller form of a polarization beamsplitter
Thanks to a new algorithm for designing the splitter Menon team has shrunk it to 2. 4 by 2. 4 microns,
University of Utah Electrical and Computer engineering Associate professor Rajesh Menon is leading a team that has created the world smallest beamsplitter for silicon photonic chips.
and computer engineering professor Zhenqiang"Jack"Ma, described the new device in a paper published May 26, 2015 by the journal Nature Communications("High-performance green flexible electronics based on biodegradable
Yei Hwan Jung, a graduate student in electrical and computer engineering and a co-author of the paper,
an assistant professor of electrical and computer engineering and physics at Duke. e can now start to think about making fast-switching devices based on this research, so there a lot of excitement about this demonstration.
an assistant professor of electrical and computer engineering and physics at Duke. e can now start to think about making fast-switching devices based on this research,
the world of computing will undergo a revolution of sophistication, speed and energy efficiency that will make even our beefiest conventional machines seem like Stone age clunkers by comparison.
But, before that happens, quantum physicists like the ones in UC Santa barbara's physics professor John Martinis'lab will have to create circuitry that takes advantage of the marvelous computing prowess promised by the quantum bit("qubit),
"Unlike classical computing, in which the computer bits exist on one of two binary("yes/no,
(if any)--as opposed to the duplication of the original information that is part of the process of error detection in classical computing.
This development represents a meeting of the best in the science behind the physical and the theoretical in quantum computing--the latest in qubit stabilization and advances in the algorithms behind the logic of quantum computing."
Rice physicists build superconductor analog, observe antiferromagnetic order February 23rd, 2015quantum Computing Forbidden quantum leaps possible with high-res spectroscopy March 2nd,
Tour is the T. T. and W. F. Chao Chair in Chemistry as well as a professor of materials science and nanoengineering and of computer science and a member of Rice's Richard E. Smalley Institute for Nanoscale Science and Technology.
"said Michel Maharbiz, a UC Berkeley associate professor of electrical engineering and computer sciences and head of the smart-bandage project."
"said study lead author Sarah Swisher, a Ph d. candidate in electrical engineering and computer sciences at UC Berkeley.
"##Other lead researchers on the project include Vivek Subramanian and Ana Claudia Arias, both faculty members in UC Berkeley's Department of Electrical engineering and Computer sciences;
and Yasser Khan, a UC Berkeley Ph d. student in electrical engineering and computer sciences, who fabricated the sensor array.
Tel aviv University researcher discovers novel nanoscale'metamaterial'could serve as future ultra-high-speed computing units March 19th, 2015an improved method for coating gold nanorods March 19th,
1 step closer with defect-free logic gate-Developing a new approach to quantum computing, based on braided quasiparticles as a logic gate to speed up computing,
1 step closer with defect-free logic gate-Developing a new approach to quantum computing, based on braided quasiparticles as a logic gate to speed up computing,
Tel aviv University researcher discovers novel nanoscale'metamaterial'could serve as future ultra-high-speed computing units March 19th,
Tel aviv University researcher discovers novel nanoscale'metamaterial'could serve as future ultra-high-speed computing units March 19th, 2015an improved method for coating gold nanorods March 19th,
Tel aviv University researcher discovers novel nanoscale'metamaterial'could serve as future ultra-high-speed computing units March 19th, 2015an improved method for coating gold nanorods March 19th,
Electrical and computer engineering associate professor Rajesh Menon and colleagues describe their invention today in the journal Nature Photonics.
"With all light, computing can eventually be millions of times faster, "says Menon. To help do that, the U engineers created a much smaller form of a polarization beamsplitter
Thanks to a new algorithm for designing the splitter, Menon's team has shrunk it to 2. 4 by 2. 4 microns,
"says study co-lead author Yu-Chih Chen, a postdoctoral researcher in Electrical engineering and Computer science at the University of Michigan College of Engineering.
and biology,"says study co-senior author Euisik Yoon, Ph d.,professor of electrical engineering and computer science and of biomedical engineering and director of the Lurie Nanofabrication Facility at the U-M College of Engineering."
2015production of Nanocomposites by Using Direct Nano-Welding of Micromaterials in Iran June 4th, 2015environmental Issues to Hamper Growth of Global Nanocomposites Market June 4th, 2015optical computing/Photonic computing New
The team used large-scale atomistic computations on the Mira supercomputer at the Argonne Leadership Computing Facility to prove that the effect could be seen not merely at the nanoscale but also at the macroscale."
The Center for Nanoscale Materials and the Argonne Leadership Computing Facility are DOE Office of Science User Facilities.
Transistors, which form the basis of today's computing, are tiny devices that stop the flow of electric current (off and on,
"##The research team included faculty members in bioengineering, chemical and biomolecular engineering, chemistry, electrical and computer engineering and mechanical science and engineering;
Researchers in UCSB's Department of Electrical and Computer engineering are seeking to make computer brains smarter by making them more like our own May 11th, 2015making robots more human April 29th, 2015lifeboat Foundation launches Interactive Friendly AI April 6th,
In a paper published July 10 in the journal Physical Review Letters, Zongfu Yu, an assistant professor of electrical and computer engineering,
'"Halas, Rice's Stanley C. Moore Professor of Electrical and Computer engineering and professor of chemistry, bioengineering, physics and astronomy,
an associate professor of electrical and computer engineering at NC State and corresponding author of a paper describing the work.
Electrical and computer engineering associate professor Rajesh Menon and colleagues describe their invention today in the journal Nature Photonics Silicon photonics could significantly increase the power and speed of machines such as supercomputers
"With all light, computing can eventually be millions of times faster, "says Menon. To help do that, the U engineers created a much smaller form of a polarization beamsplitter
Thanks to a new algorithm for designing the splitter, Menon's team has shrunk it to 2. 4 by 2. 4 microns,
"says study co-lead author Yu-Chih Chen, a postdoctoral researcher in Electrical engineering and Computer science at the University of Michigan College of Engineering.
and biology,"says study co-senior author Euisik Yoon, Ph d.,professor of electrical engineering and computer science and of biomedical engineering and director of the Lurie Nanofabrication Facility at the U-M College of Engineering."
Many researchers see improved interconnection of optical and electronic components as a path to more efficient computation and imaging systems.
which has limited options for B-cell-based vaccine programming. Using Cellsqueeze circumvents this problem and by being able to separately configure delivery and activation,
but the algorithms that handle sound and image processing are inspired by biology, says Professor yvind Brandtsegg at NTNU.
the cornerstone of genetic programming The transistor is the central component of modern electronic systems. It acts both as a switch and as a signal amplifier.
Understanding the effects that these ultra-intense x-ray pulses will have on their potential targets will take the team work of Argonne National Laboratorys Advanced Photon Source (APS) and the Argonne Leadership Computing Facility (ALCF), both
The team uses a hybrid code employing both molecular dynamics (MD) and Monte carlo (MC) algorithms.
the MC algorithm uses a pre-computed database to update and track the electronic configuration of every particle interacting with an x-ray pulse.
The new algorithm, published in Nature Methods("Efficient set tests for the genetic analysis of correlated traits),
until now so much computation that it would take a year to run a single complex query."
The researchers tested their algorithm on data from two studies from public repositories, and compared the results with existing state-of-the-art tools.
"Our algorithm can be used to study up to half a million individuals-that hasn't been possible until now.""
The new algorithm provides much-needed methods for genomics, making large-scale, complex analysis a manageable and practical endeavour."
Computations made by the group of Professor Thomas Heine from Jacobs University Bremen, which is involved also in the project,
Jaeyoun (Jay) Kim, an Iowa State university associate professor of electrical and computer engineering and an associate of the U s. Department of energy's Ames Laboratory."
and computer engineering and is moving to postdoctoral work at the University of Pennsylvania in Philadelphia. The paper describes how the engineers fabricated microtubes just 8 millimeters long and less than a hundredth of an inch wide.
This material class therefore has enormous potential for future applications in information technology. n
#Sweeping lasers snap together nanoscale geometric grids Down at the nanoscale, where objects span just billionths of a meter,
#Toward tiny, solar-powered sensors The latest buzz in the information technology industry regards he Internet of thingsthe idea that vehicles, appliances, civil-engineering structures, manufacturing equipment,
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,
They are used also in flashes in mobile phones and as a complementary technology to batteries in order to boost performance.
"said Boubacar Kant, 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."
In a paper published July 10 in the journal Physical Review Letters("Extraordinarily large optical cross section for localized single nanoresonator"),Zongfu Yu, an assistant professor of electrical and computer engineering,
Graph-theoretic algorithms and optimization techniques are used then to calculate the DNA sequences needed to produce the structure.
Advanced computing methods are likely to be a key enabler in the scaling of DNA NANOTECHNOLOGY from fundamental studies towards groundbreaking applications,
New ways of generating spin currents may be important for low-power high-speed spin based computing (spintronics),
"said Maiken Mikkelsen, an assistant professor of electrical and computer engineering and physics at Duke.""We can now start to think about making fast-switching devices based on this research,
working with a team of researchers led by Alexandra Boltasseva, an associate professor of electrical and computer engineering,
and Vladimir M. Shalaev, scientific director of nanophotonics at Purdue's Birck Nanotechnology Center and a distinguished professor of electrical and computer engineering."
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Lobo and Levin developed an algorithm that would use evolutionary computation to produce regulatory networks able to volveto accurately predict the results of published laboratory experiments that the researchers entered into a database. ur goal was to identify a regulatory network that could be executed in every cell
Tufts biologists devloped an algorithm that used evolutionary computation to produce regulatory networks able to volveto accurately predict the results of published research on planarian regeneration.
The algorithm compared the resulting shape from the simulation with real published data in the database.
First Regenerative Model Discovered by Artificial intelligence The researchers ultimately applied the algorithm to a combined experimental dataset of 16 key planarian regeneration experiments to determine
After 42 hours, the algorithm returned the discovered regulatory network, which correctly predicted all 16 experiments in the dataset.
Lobo and Levin are trained both in computer science and bring an unusual perspective to the field of developmental biology.
Levin majored in computer science and biology at Tufts before earning his Ph d. in genetics. Lobo earned a Ph d. in the field before joining the Levin lab. The paper represents a successful application of the growing field of obot sciencewhich Levin says can help human researchers by doing much more than crunch enormous datasets quickly. hile
the artificial intelligence in this project did have to do a whole lot of computations, the outcome is a theory of
the team devised a computer algorithm to process OCT data and, nearly instantaneously, generate a color-coded map with cancer in red and healthy tissue in green. e envision that the OCT would be aimed at the area being operated on,
with miniaturised electronics that can use algorithms to recognise touches or swipes, ATAP says. The data can be sent wirelessly to smartphones or other devices,
Founder Bob Roohparvar, a computer science professor at California State university, likened the technology a tube of toothpaste. f you just squeeze from the top,
Program director for the US NAVY Captain Jeff Dodge likened the upgrade from the MQ-8b based on a smaller airframe to the model aircraft to a brain transplant. e are taking the computer
a professor in the Department of Electrical and Computer engineering and the senior author on the Science paper. ur approach conditions the information before it is sent even,
#Researchers develop new Algorithm to empower Robots to Learn like Humans New algorithms enable robots to learn motor tasks through trial and error, like humans.
The algorithm gives rise to a new branch of artificial intelligence, known as deep learning. The researchers chose Berkeley Robot for the Elimination of Tedious Tasks (BRETT) to take up a challenge of dealing with a relatively promising form of artificial intelligence called deep structured learning.
The researchers have claimed that smaller amount of pre-programming is required when the algorithm is used in the robot.
Also, it provides the capacity to work outside controlled environments like medical centers factories or laboratories.
an associate professor in the campus electrical engineering and computer sciences department, developed the new algorithm. Abbeel said the best thing about the technique is that it rids the need of reprogramming
Use of the algorithm is seen currently in voice recognition software, such as the iphone's Siri
#New Algorithm enables Robot to Learn through Trial and error UC Berkeley's BRETT (Berkeley Robot for the Elimination of Tedious Tasks) is capable of learning through trial and error, like humans.
New algorithms developed by researchers empower the robot to master tasks through trial and error, ridding the need of pre-programming.
Among many tasks, it can perform is assembling a toy, and the best thing is it keeps trying figuring out the way to accomplish the task until it finally done.
New algorithms developed by researchers from UC Berkeley brought this trial and error process to robots. UC Berkeley said in a press release that the technology is a giant leap in the field of artificial intelligence.
After identifying brain cancer's OCT signature, researchers at Johns hopkins university have developed a computer algorithm that rapidly generates a color-coded map that shows cancer in red and healthy tissue in green."
Taking inspiration from modern computing methods, Orth and colleagues at Harvard and Thermo Fisher Scientific Inc. of Pittsburgh worked to overcome the limitations imposed by current multispectral microscopes.
with algorithms and sensors that automatically adjust the angle of the foot during different points in its wearer's stride.
Similar to the movie, researchers at MIT Computer science and Artificial intelligence Laboratory have created an object recognition system that can accurately identify objects using a normal RGB camera (no threatening blood-red color filter required.
The algorithm will improve over time, Amazon told technology site Cnet. Its first effects may not be visible for some time as the work only began on Friday.
algorithms that take into account nearby faults and other factors to broadcast a warning of affected areas, estimated intensities and apparent epicenter.
The sensors use a patented algorithm to filter the signals it picks up into two heartbeat recordings.
using algorithms that make the arm easier to use.""A good example is had we actually an amputee use the wireless brainwave headset to control a hand,
ADVERTISING OPM detected new malicious activity affecting its information systems in April and the Department of Homeland Security said it concluded at the beginning of May that the agency's data had been compromised.
Lobo and Levin developed an algorithm that would use evolutionary computation to produce regulatory networks able to"evolve"to accurately predict the results of published laboratory experiments that the researchers entered into a database."
The algorithm compared the resulting shape from the simulation with real published data in the database.
First Regenerative Model Discovered by Artificial intelligence The researchers ultimately applied the algorithm to a combined experimental dataset of 16 key planarian regeneration experiments to determine
After 42 hours, the algorithm returned the discovered regulatory network, which correctly predicted all 16 experiments in the dataset.
Lobo and Levin are trained both in computer science and bring an unusual perspective to the field of developmental biology.
Levin majored in computer science and biology at Tufts before earning his Ph d. in genetics. Lobo earned a Ph d. in the field before joining the Levin lab. The paper represents a successful application of the growing field of"robot science
"While the artificial intelligence in this project did have to do a whole lot of computations, the outcome is a theory of
Computation used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by NSF grant OCI-1053575,
Computations made by the group of Professor Thomas Heine from Jacobs University Bremen, which is involved also in the project,
They can even perform computations based on changes in the environment or movement, and respond to human vital signs.
and Steven P. Levitan, Ph d.,John A. Jurenko professor of electrical and computer engineering, integrated models for self-oscillating polymer gels and piezoelectric micro-electric-mechanical systems to devise a new
reactive material system capable of performing computations without external energy inputs, amplification or computer mediation. The studies combine Balazs'research in Belousov-Zhabotinsky (BZ) gels, a substance that oscillates in the absence of external stimuli,
"allowing the material to be used for computation. Levitan adds, however, the computations would not be general purpose,
but rather specific to pattern-matching and recognition, or other non-Boolean operations.""Imagine a group of organ pipes,
and respond accordingly, thereby performing the actual computing.""Developing so-called"materials that compute"addresses limitations inherent to the systems currently used by researchers to perform either chemical computing or oscillator-based computing.
Chemical computing systems are limited by both the lack of an internal power system and the rate of diffusion as the chemical waves spread throughout the system,
Further, oscillator-based computing has not been translated into a potentially wearable material. The hybrid BZ-PZ model,
"With all light, computing can eventually be millions of times faster, "Menon said. Menon and his team figured out how to take current beamsplitters,
by developing an inverse design algorithm that tells them exactly how to build the silicon structures they need to perform a desired task.
Theye already used the algorithm to design a working optical circuit, and have made several copies in their lab. Reporting in Nature Photonics,
who worked on the algorithm.""The fact that we could build devices this robust on our equipment tells us that this technology will be easy to mass-produce at state-of-the-art facilities."
By designing very precise segments of silicon and pairing them together-according to the instructions of the algorithm-the team are able to create switches or conduits that control the flow of photons,
By creating an algorithm that automates the development of these complex Swiss cheese silicon structures, the team has essentially"set the stage for the next generation of even faster
The algorithm could also be used to find design solutions to many other communication problems-all a researcher needs to do is plug in their desired result,
and the algorithm will come up with a plan. We're pretty excited to see what they do with it next h
"Imagine if when you run a set of computations that not only information is processed but physical matter is manipulated algorithmically as well.
And it carries information using the absence of presence of water droplets as the 1s and 0s of its binary code."
and play around with the design to help take it to the next level. e are trying to bring the same kind of exponential scale up because of computation we saw in the digital world into the physical world,
By developing cloud databases and algorithms to store all of this data, the researchers behind Project Premonition hope to build a robust system capable of spotting dangers to humans and wildlife alike in the future u
which involves converting data into a set of algorithms that a computer can make sense of.
Using an algorithm, they worked out how the words are clustered, and they then looked up the different definitions of each word in a dictionary.
"This material class therefore has enormous potential for future applications in information technology
#Here's how to make carbon nanoparticles with honey and a microwave Carbon nanoparticles can be incredibly useful in the treatment of many types of disease,
It states that computing power has the potential to double every two years, and so far, it's held true.
000 times faster than current flash memory Tech giants Intel and Micron have announced a new class of computer memory called 3d XPOINT,
It also 10 times denser than current flash, meaning it could lead to smaller components and ultimately even smaller devices.
so that different laser flashes are sent into different directions says Ulrich Schmid. To experience the 3d effect the viewer must be positioned in a certain distance range from the screen.
Additional authors on the ACS Nano paper include UW-Madison materials science and engineering graduate students Gerald Brady Yongho Joo and Matthew Shea and electrical and computer engineering graduate student Meng-Yin
Capacitors use an electrostatic charge to store energy they can release quickly, to a camera's flash, for example.
and understands it said Yiannis Aloimonos UMD professor of computer science and director of the Computer Vision Lab one of 16 labs and centers in UMIACS.
while for computing technology to catch up. Similar versions of neural networks are responsible for the voice recognition capabilities in smartphones
#Vision system for household robots Researchers at MIT's Computer science and Artificial intelligence Laboratory believe that household robots should take advantage of their mobility
In a paper appearing in a forthcoming issue of the International Journal of Robotics Research the MIT researchers show that a system using an off-the-shelf algorithm to aggregate different perspectives can recognize four times as many objects as one that uses a single
They then present a new algorithm that is just as accurate but that in some cases is 10 times as fast making it much more practical for real-time deployment with household robots.
and computer science and lead author on the new paper. One way around that is just to move around
Wong and his thesis advisors--Leslie Kaelbling the Panasonic Professor of Computer science and Engineering and Toms Lozano-Prez the School of engineering Professor of Teaching Excellence--considered scenarios in which they had 20 to 30
The first algorithm they tried was developed for tracking systems such as radar which must also determine
For each pair of successive images the algorithm generates multiple hypotheses about which objects in one correspond to which objects in the other.
To keep the calculation manageable the algorithm discards all but its top hypotheses at each step.
In hopes of arriving at a more efficient algorithm the MIT researchers adopted a different approach.
Their algorithm doesn't discard any of the hypotheses it generates across successive images but it doesn't attempt to canvass them all either.
Suppose that the algorithm has identified three objects from one perspective and four from another. The most mathematically precise way to compare hypotheses would be to consider every possible set of matches between the two groups of objects:
Instead the researchers'algorithm considers each object in the first group separately and evaluates its likelihood of mapping onto an object in the second group.
The algorithm could conclude that the most likely match for object 3 in the second group is object 3 in the first
So the researchers'algorithm also looks for such double mappings and reevaluates them. That takes extra time
In this case the algorithm would perform 32 comparisons--more than 20 but significantly less than 304 4
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