#Crucial hurdle overcome in quantum computing The significant advance, by a team at the University of New south wales (UNSW) in Sydney appears in the international journal Nature."
"We've demonstrated a two-qubit logic gate--the central building block of a quantum computer--and, significantly, done it in silicon.
"This makes the building of a quantum computer much more feasible, since it is based on the same manufacturing technology as today's computer industry,
The advance represents the final physical component needed to realise the promise of super-powerful silicon quantum computers,
which harness the science of the very small--the strange behaviour of subatomic particles--to solve computing challenges that are beyond the reach of even today's fastest supercomputers.
0 or 1. However, a quantum bit (or'qubit')can exist in both of these states at once, a condition known as a superposition.
A qubit operation exploits this quantum weirdness by allowing many computations to be performed in parallel (a two-qubit system performs the operation on 4 values, a three-qubit system on 8, and so on."
"If quantum computers are to become a reality, the ability to conduct one-and two-qubit calculations are said essential
Dzurak, who jointly led the team in 2012 who demonstrated the first ever silicon qubit,
also reported in Nature. Until now, it had not been possible to make two quantum bits'talk'to each other
--and thereby create a logic gate--using silicon. But the UNSW team--working with Professor Kohei M. Itoh of Japan's Keio University--has done just that for the first time.
The result means that all of the physical building blocks for a silicon-based quantum computer have now been constructed successfully
and building a functioning quantum computer. A key advantage of the UNSW approach is that they have reconfigured the'transistors'that are used to define the bits in existing silicon chips,
and turned them into qubits.""The silicon chip in your smartphone or tablet already has around one billion transistors on it,
"We've morphed those silicon transistors into quantum bits by ensuring that each has only one electron associated with it.
We then store the binary code of 0 or 1 on the'spin'of the electron,
Dzurak noted that that the team had patented recently a design for a full-scale quantum computer chip that would allow for millions of our qubits,
and energy efficient,"said Muhannad Bakir, an associate professor and ON Semiconductor Junior Professor in the Georgia Tech School of Electrical and Computer engineering."
Sudhakar Yalamanchili, a professor in the Georgia Tech School of Electrical and Computer engineering and one of the research group's collaborators, joined the team for the DARPA demonstration to discuss electrical-thermal co-design."
So-called free-electron lasers (FELS) generate flashes of laser light by sending high-speed electrons from a particle accelerator down an undulating path,
and high-power electronics, such as wearable devices, portable power supplies and hybrid and electric vehicles.""Ultimately the goal of this research is to find ways to power current and future technology with efficiency
Now, researchers at DTU Systems Biology have combined genetics with computer science and created a new diagnostic technology based on advanced self learning computer algorithms
which--on the basis of a biopsy from a metastasis--can with 85 per cent certainty identify the source of the disease
"We are pleased very that we can now use the same sequencing data together with our new algorithms to provide a much faster diagnosis for cancer cases that are difficult to diagnose,
The method combines genetics and computer science, and can analyse a biopsy from a metastasis, and on this basis provide a number of possible scenarios for where the cancer may have developed
A zero-index material that fits on a chip could have exciting applications, especially in the world of quantum computing."
"It could also improve entanglement between quantum bits, as incoming waves of light are effectively spread out
Future work for Tkaczyk and his colleagues includes developing an automated algorithm for white blood cell identification,
Using machine learning algorithms, the researchers then determined whether they were able to predict which movement the participant was going to perform on the basis of the brain activity measured during the planning phase.
The team used the Molecular Operation Environment (MOE) program produced by the Chemical Computing Group in Montreal,
Developed by UW-Madison collaborators Zhenqiang"Jack"Ma, professor of electrical and computer engineering and research scientist Jung-Hun Seo, the high-performance phototransistor far and away exceeds all previous flexible phototransistor parameters,
and Computer engineering at NUS'Faculty of engineering, was published in the journal Nature Communications in September 2015. High performance magnetic sensors in demand When an external magnetic field is applied to certain materials
The Berkeley team began the reassembly process with algorithms that assembled bits of the sequenced genetic code into slightly longer strings called contigs. ou no longer have tiny pieces of DNA,
the researchers relied on another set of algorithms, customized for the task by Itai Sharon,
or complex artificial-intelligence algorithms that try to separate different voices on a recording. But the latest invention, described in this week Proceedings of the National Academy of Sciences,
They then developed an algorithm that could use the activity of the CA1 cells to predict the pattern that was coming from CA3.
By using this algorithm, the researchers should be able to stimulate the CA1 cells with a pattern that mimics an appropriate CA3 signal
the researchers developed an algorithm that predicted with high accuracy whether a person would remember a given word.
Better algorithms and more sensitive electrodes might yield finer motor control. And advances in brain-machine interfaces should make implants less invasive.
Small enough to serve in existing and future computer architectures this technology may also enable electrically tunable and switchable thin optical components.
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.
In 2013, the U s. Defense Advanced Research Projects Agency, an incubator of cutting-edge technology, launched a four-year program to fund probabilistic-programming research.
short programs less than 50 lines long written in a probabilistic programming language are competitive with conventional systems with thousands of lines of code. his is the first time that wee introducing probabilistic programming in the vision area,
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 oy Storyis a huge computation, but it deterministic:
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 algorithm the 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. sing learning to improve inference will be task-specific,
but probabilistic programming may alleviate rewriting code across different problems, he says. he code can be generic
says Jianxiong Xiao, an assistant professor of computer science at Princeton university, who was involved not in the work. t goes beyond image classification the most popular task in computer vision
Simulations on the Stampede supercomputer of the Texas Advanced Computing Center (TACC) bridged the gap between the drawing board
Using the supercomputers at Berkeley Lab National Energy Research Scientific Computing Center (NERSC), the researchers can screen hundreds of molecules per day.
and Marcia Oalley, professor of mechanical engineering and computer science. The project won the eople Choiceaward at Rice recent Engineering Design Showcase.
one can fit more circuits on the same chip to produce a device with greater computing power.
Prof Sader said. his technology is built on a new mathematical algorithm that we developed, called inertial imaging.
STAMP splits an ultra-short pulse of light into a barrage of different coloured flashes that hit the imaged object in rapid-fire succession.
These separate colour flashes are analysed and form a moving picture of what the object looked like over the time it took the dispersed light pulse to travel through the STAMP.#
STAMP splits images into a barrage of different coloured flashes, achieving several frames per shot.
you will see flashes of light every time the wheel is at the perfect spot for sunlight to hit it.
The speed of the Ferris wheel determines the frequency of the flashes you see, he said. he Argonne team work is incredibly exciting
These include newly planned light source facilities such as the Advanced Photon Source Upgrade. uch small sources
Now a new programming approach developed by MIT engineers gives robots more ognitivecapabilities enabling humans to specify high-level goals,
and an algorithm automatically analyzes the telltale rigglingmotion of the worms in video captured by the phone.
an associate professor of electrical engineering and computer sciences, has found that tilting magnets slightly makes them easy to switch without an external magnetic field.
A large portion of the energy used in computing is spent on transferring data from one type of memory to another.
Researchers used PNNL Institutional Computing resources to develop and validate the tool, making it possible to process a year worth of historical grid data within a few days.
High-performance computing also made it possible to evaluate the tool performance across multiple forecasting periods,
sensing and quantum computing. emarkable progress in cooling and trapping molecules in recent years has opened up an entirely new energy regime for studying chemical reactivity at temperatures below one micro-Kelvin,
Subramanian Sankaranarayanan and Sanket Deshmukh at CNM used the high-performance computing resources at DOE National Energy Research Scientific Computing Center and the Argonne Leadership Computing Facility (ALCF
a research group led by Harold kipgarner, a professor in the departments of biological science, computer science, and basic science at Virginia Tech Carilion Medical school, analyzed an often ignored part of the human genome repetitive DNA sequences referred to as microsatellites.
including the sometimes complex programming and calculations involved. This freely available open source software now offers a user friendly solution.
What if a fusion of computer science and psychology could help us understand more about how people learn,
That long-range goal is moving toward reality thanks to an effort led by professors in the University of Wisconsin-Madison departments of computer sciences, psychology and educational psychology.
human students. achine learning is established a well subfield of computer science in which experts develop mathematical tools to help computers learn from data
Practical tasks like speech recognition are aided by machine learning. Machine teaching turns this concept on its ear. Rather than dealing with pools of data and not knowing at the outset what patterns might be revealed through analysis,
Timothy T. Rogers, a professor of cognitive psychology at UW-Madison and one of Zhu collaborators, explains how computer science
In addition to Zhu and Rogers, the UW research team includes computer sciences professors Michael Ferris, Bilge Mutlu andstephen Wright;
Much like how a computer programmer edits computer code, scientists could one day replace a person broken
founded a groundbreaking doctoral program in neural computation, and completed cutting-edge work in understanding the genetics of autism.
computer science, psychology, statistics and engineering, CMU launched Brainhub, an initiative that focuses on how the structure and activity of the brain give rise to complex behaviors m
The research, led by Yinzhi Cao, assistant professor of computer science and engineering at Lehigh University, with coauthors Xiang Pan and Yan Chen from Northwestern University, will be presented at the IEEE Conference on Communications and Network security,
Clayton Morrison, is doing just that one algorithm at a time. He wonders, as many others in his field do,
trained a computer system to read papers using hundreds of algorithms. One, for example, allows it to understand that ouse,
and Kobus Barnard, professor of computer science. Morrison, who also has a strong, academic background in developmental psychology, said,
yielding results that exceeded state-of-the-art predecessors all by relying on algorithms. Asking a human scientist to do the same would be outrageous.
said Mihri Ozkan, a professor of electrical and computer engineering. Therefore, the UC Riverside team is focused on naturally-derived carbons,
Now, researchers at DTU Systems Biology have combined genetics with computer science and created a new diagnostic technology based on advanced self learning computer algorithms whichn the basis of a biopsy from a metastasisan with 85 per cent certainty identify the source of the disease
and thus target treatment and, ultimately, improve the prognosis for the patient. Each year, about 35,000 people are diagnosed with cancer in Denmark,
e are pleased very that we can now use the same sequencing data together with our new algorithms to provide a much faster diagnosis for cancer cases that are difficult to diagnose,
during remarks Oct 14 at the SDSC event. hrough this launch and the extraordinary computing capabilities of SDSC,
SDSC used the formal launch of Comet to also celebrate 30 years as a national resource for advanced computation.
and Society Comet is configured to help transform advanced computing by expanding access and capacity not only among research domains that typically rely on HPCUCH as chemistry
#A New Type of Memristors for Less Rigid Computing Two IT giants, Intel and HP, have entered a race to produce a commercial version of memristors (the fourth basic component of electronic circuits alongside resistors,
Rupp calls this ess rigid computing Another possible application could be neuromorphic computing, which, as the name suggests,
where computations (including walking) are carried out by physical objects, rather than by electronic or magnetic shuttles.
Algorithms for processing the signals have already been developed and they can be programmed into small chips to compute things like distance to objects or the time until a potential collision.
whose own program recently completed a $94 million upgrade of its experimental machine, has followed closely developments with the Tri Alpha
A machine-learning algorithm calibrates the system to different brains while tests using Google glass helped the team calibrate
"Street predicts that Black Friday 2015 will still see lots of deals around electronics and computing,
said Sayeef Salahuddin, an associate professor of electrical engineering and computer sciences, and head of the research team at Berkley. owever, the physics needed to create long-term storage are not compatible with integrated circuits.
nonvolatile computer memory, said James Tour, professor of materials science, nanoengineering and computer science at Rice university. While current flash technology requires three electrodes per circuit,
professor of electrical and computer engineering at Duke. heepth of the cavitiesffects the pitch of the sound they make,
a Phd student in electrical and computer engineering at Duke and lead author of the paper. e think this could improve the performance of voice-activated devices like smart phones
such as quantum computers, will require a new breed of magnets with additional properties to increase storage and processing capabilities.
#Algorithm helps prosthetic leg automatically adapt to user Researchers in the US have developed software that enables powered prosthetic legs to automatically adapt to individual users.
However, a special algorithm, developed by a group from North carolina State university and the University of North carolina, allows this process to happen automatically,
The automatic-tuning algorithm takes a similar approach, tracking the angle of the prosthetic joint while walking.
the algorithm could provide more power to a prosthesis when a patient carries a heavy suitcase through an airport,
Led by Hongrui Jiang, professor of electrical and computer engineering at UW-Madison, the researchers designed lenses no larger than the head of a pin and embedded them within flexible plastic.
At best, the European commission initiative may require some marginal reconfiguration of Google algorithms and presentation of results,
one of the fiercest critics of mass surveillance and tech monopolies, have a proposal for Google to make its search algorithms
While Google will likely claim that its algorithms are so complex that even its own engineers do not understand their Heath Robinsonesque machinations,
Algorithms are human creations, and they need to serve human needs
#France launches major anti-racism and hate speech campaign The french government has launched a major campaign to contain the country steep rise in racism
That why most light sequences are set via a longer term algorithm, taking into account other parts of the road network.
and computer programming to handbuild a machine which guides yarn in set patterns over layers to create the 3d shapes such as those used on the soles of the navy shoes he created.
I could press a button on a machine after an algorithm which runs over the ball of your foot and the underside of your foot
and it's getting an upgrade to version 3. 0 with the 2016 family, headlined by the Snapdragon 820.
A new Intelligent Negotiation for Optimum Voltage (INOV) algorithm will allow portable devices to"determine what power level to request at any point in time for optimum power transfer
Today, more than 3, 000 businesses in the U s. and the EU depend on the agreement to avoid running afoul of European privacy laws, according to the Information technology and Innovation Foundation.
also offers a software development kit with creation tools that require little or no programming.
In a new paper out of MIT Computer science and Artificial intelligence Lab, the researchers describe a sensor that sends radio signals through a wall
and transistors found in all the computing devices of our modern world. CEI, through Gan, hopes to change because not only is the material more efficient in light emission,
One example is Virginia Tech computer science professor Wu Feng and his team, who have developed tools to help other researchers
And, by 2020, with the power of cloud and advanced computing, it may be a matter of pennies.
Feng and his team are part of a select group participating in a research programme called Computing in the Cloud (Cic),
IBM claims that Linuxone Emperor is capable of scaling up to 8, 000 virtual machines or tens of thousands of containers and that's more than any other single Linux system.
SOGP 1. 0 which stands for a statistical technique known as spectral optimal gridding of precipitation is based on the MATLAB programming language commonly used in science and engineering.
--and the 100-meter Green Bank Telescope in West virginia showed the presence of lumps in the image of Sagittarius A*.Recent upgrades have increased greatly the sensitivity of these telescopes.
One of the applications we're targeting with this research is said ultrafast LEDS Maiken Mikkelsen an assistant professor of electrical and computer engineering and physics at Duke.
and Chair of Electrical and Computer engineering at Duke they used computer simulations to determine the exact size of the gap needed between the nanocubes
#Computer science: Data smashing could unshackle automated discovery A little known secret in data mining is that simply feeding raw data into a data analysis algorithm is unlikely to produce meaningful results,
say the authors of a new Cornell University study. From recognizing speech to identifying unusual stars,
But most data comparison algorithms today have one major weakness--somewhere, they rely on a human expert to specify what aspects of the data are relevant for comparison,
Cornell computing researchers have come up with a new principle they call"data smashing"for estimating the similarities between streams of arbitrary data without human intervention,
Hod Lipson, associate professor of mechanical engineering and computing and information science, and Ishanu Chattopadhyay, a former postdoctoral associate with Lipson and now at the University of Chicago, have described their method in Royal Society Interface, Oct 1.
In all cases and without access to original domain knowledge, the researchers demonstrated performance on par with the accuracy of specialized algorithms and heuristics devised by experts s
#Gene that drives aggressive brain cancer found by new computational approach Using an innovative algorithm that analyzes gene regulatory and signaling networks,
suggesting that the algorithm, combined with the researchers'sophisticated computer models of cellular regulation, is a powerful method for identifying genetic drivers of a wide range of diseases."
"This algorithm adds a new dimension to our ability to identify the genetic causes of complex disease.
In the current study, the team combined its existing computational tools with a new algorithm called DIGGIT (for Driver-Gene Inference by Genetical-Genomic Information theory),
The DIGGIT algorithm, combined with what we know about regulatory events in the cell, can help us sort through this mass of data
In further studies by the Califano team, the algorithm identified 35 genes as drivers of breast cancer.
confirming that the algorithm is capable of capturing driver mutations in other types of cancer.
the algorithm identified the key molecular regulators and pathways through which these mutations likely work to drive disease,
For this purpose, only the image processing algorithms would have to be adjusted accordingly y
#Mining big data yields Alzheimers discovery Scientists at The University of Manchester have used a new way of working to identify a new gene linked to neurodegenerative diseases such as Alzheimer's.
the research team has developed algorithms that convert the input from sensors taped to a patient's hand into varying patterns and intensities of electrical signals.
All this gesturing wizardry is made possible by a new type of algorithm developed by Jie Song a Master's student in the working group headed by by Otmar Hilliges Professor of Computer science.
Intelligent programming uses computer memorythe program uses the smartphone's built-in camera to register its environment.
and memory power explains Hilliges adding that their new algorithm uses a far smaller portion of computer memory
This is in no small part due to the fact that the vast majority of telecommunications operators use the same encryption algorithm--the so-called AES,
It expands the AES algorithm with several layers which are never the same. Dynamic encryption"When my phone calls you up, it selects a system on
Technically speaking, it adds more components to the known algorithm. The next time I call you,
because a high density of transistors has many direct and indirect benefits for computation and signal processing.
and Vladimir Volman, an engineer at Lockheed martin. 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.
"Tour is Rice's T. T. and W. F. Chao Chair in Chemistry and professor of mechanical engineering and nanoengineering and of computer science.
For example, manufacturers have announced plans for RRAM prototype chips that will be capable of storing about one terabyte of data on a device the size of a postage stamp--more than 50 times the data density of current flash memory technology.
After weeks of programming I eventually got to the point where the robot could paint shapes and lines in a particular color.
Tittel is the J. S. Abercrombie Professor in Electrical and Computer engineering and a professor of bioengineering.
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,
#New Algorithm Lets Robots Autonomously Plan for Tasks Researchers from MIT have developed a new algorithm that lets autonomous robots divvy up assembly tasks on the fly,
This week, at the Institute for Electrical and Electronics Engineersinternational Conference on Robotics and Automation, a group of MIT researchers were nominated for two best-paper awards for a new algorithm that can significantly reduce robot teamsplanning time.
The plan the algorithm produces may not be perfectly efficient, but in many cases, the savings in planning time will more than offset the added execution time.
Courtesy of the researchersthe researchers also tested the viability of their algorithm by using it to guide a crew of three robots in the assembly of a chair. ee really excited about the idea of using robots in more extensive ways in manufacturing,
says Daniela Rus, the Andrew and Erna Viterbi Professor in MIT Department of Electrical engineering and Computer science,
whose group developed the new algorithm. or this, we need robots that can figure things out for themselves more than current robots do.
We see this algorithm as a step in that direction. us is joined on the paper by three researchers in her lab first author Mehmet Dogar
and Andrew Spielberg and Stuart Baker, both graduate students in electrical engineering and computer science. Grasping consequencesthe problem the researchers address is one in
Principled procrastinationthe algorithm begins by devising a plan that completely ignores the grasping problem. This is the equivalent of a plan in
Then the algorithm considers the transition from one stage of the operation to the next from the perspective of a single robot
If the algorithm were permitted to run to completion its last few grasp decisions might require the modification of every robot behavior at every step of the assembly process,
In some, they found that their algorithm could, in minutes, produce a workable plan that involved just a few drops,
But their algorithm could still produce a workable plan. ith an elegant heuristic approach to a complex planning problem,
The work combines his expertise in manipulating droplet fluid dynamics with a fundamental element of computer science an operating clock. n this work,
Imagine if when you run a set of computations that not only information is processed but physical matter is manipulated algorithmically as well.
The ability to precisely control droplets using fluidic computation could have a number of applications in high-throughput biology and chemistry,
allowing observation of computation as it occurs in real time. The presence or absence of a droplet represents the 1s and 0s of binary code
and the clock ensures that all the droplets move in perfect synchrony, and thus the system can run virtually forever without any errors. ollowing these rules,
feedback and cascadability hallmarks of scalable computation. A simple-state machine including 1-bit memory storage (known as lip-flop is demonstrated also using the above basic building blocks.
is that it opens up a new way of thinking of computation in the physical world.
Although the physics of computation has been applied previously to understand the limits of computation, the physical aspects of bits of information has never been exploited as a new way to manipulate matter at the mesoscale (10 microns to 1 millimeter).
computation takes a special place. We are trying to bring the same kind of exponential scale up because of computation we saw in the digital world into the physical world
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