Rapid pattern recognition and a low energy consumption in connection with enormous parallel data processing would enable revolutionary computer architectures."
Scientists and engineers from the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology (CQC2T), headquartered at the University of New south wales (UNSW),
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.
'where computations (including walking) are carried out by physical objects, rather than by electronic or magnetic shuttles.
Combining Text and Diagram Interpretation, was a joint effort between the UW Computer science & Engineering department and AI2.
senior research manager for Vision at AI2 and UW assistant professor of computer science and engineering, e are excited about Geos performance on real-world tasks.
the device builds on decades of research by Ted Berger and relies on a new algorithm created by Dong Song,
who have collected the neural data used to construct the models and algorithms. Signals and sensory input When your brain receives sensory input,
the algorithm accurately predicted how the signals would be translated with about 90 percent accuracy. eing able to predict neural signals with the USC model suggests that it can be used to design a device to support
Computation used a cluster computer awarded by Silicon Mechanics and the Campus Champion Allocation for Tufts University TG-TRA 130003 at the Extreme Science and Engineering Discovery Environment,
Bensmaia said. his study gets us to the point where we can actually create real algorithms that work.
and brings us one step closer to having human-ready algorithms. l
#They are now 3d printing drugs THE Food and Drug Administration has approved the first prescription drug made through 3d printing:
The computations happened when they applied just the right voltages to the cluster at six specific locations.
which were the most useful using a genetic algorithm, a procedure that borrows ideas from Darwinian evolution to home in on the ittestones.
the algorithm found the voltages that transformed the system into any one of the six ogic gatesthat are the building blocks of conventional computer chips.
using an algorithm on a tablet computer or a phone to monitor a person blood glucose. When levels rise
for example after a meal, the algorithm automatically sends instructions to the insulin pump. t tells the pump how much insulin to deliver
Compared with a sensor and pump without an algorithm, children using the bionic device spent half as much time with seriously low sugar levels,
which were the most useful using a genetic algorithm, a procedure that borrows ideas from Darwinian evolution to home in on the ittestones.
The algorithm even arrived at the combination for a higher-order logic unit, which can add two bits of information. his shows that you can get to calculating ability by a completely different route,
#Earthquake algorithm picks up the brain vibrations Your brain is buzzing. Analysing those natural vibrations might help spot tumours and other abnormalities,
and now an algorithm normally used to study earthquakes has been adapted to do just that. The elasticity of different parts of the body is a useful way to tell
He borrowed the algorithm his colleagues used to analyse the Earth vibrations, and incorporated it into his modified MRI SCANNER.
Semantic Scholar is focusing on computer science papers. It will then gradually expand its scope to include biology,
and to turn it into an algorithm. The resulting process now lets us generate the information we need about the molecule faster
"The team demonstrated the chip's capabilities by programming it to rapidly perform a number of different experiments, each
Developed at the Howard Hughes Medical Institute's Janelia Research Campus, the microscope also captures images quickly enough to watch the movement of developing embyronic cells or the flashes of neuronal circuits.
Right now, the algorithm they've developed is refined not enough to distinguish Parkinson's patients from people who are sleep deprived,
Since they have developed already the algorithms and design of the photosensor, the researchers plan to configure several artificial eyes on one drone to create a more sophisticated visual system,
algorithms that identify faces can place people in locations based just on a photograph. Sometimes that helpful, like figuring out who that obscured groomsmen is in the back of a wedding picture.
a team at MIT Computer science and Artificial intelligence Laboratory has solved an ancient problem: needing another beer
encoded with the zeros and ones of binary code. But if data were stored in DNA, the four chemical nucleotides (A c, G,
said Danfeng (Daphne) Yao, associate professor of computer science at Virginia Tech. Xiaokui Shu, a computer science doctoral student of Anqing, China, advised by Yao,
was the first author.""Stealthy attacks buried in long execution paths of a software program cannot be revealed by examining fragments of the path,"Yao,
who holds the title of the L-3 Communications Cyber Faculty Fellow of Computer science, said.
The Virginia Tech computer scientists'secret formula in finding a stealth attack is in their algorithms.
"Because the approach works by analyzing the behavior of computer code, it can be used to study a variety of different attacks,"Yao added.
Their anomaly detection algorithms were able to detect erratic program behaviors with very low false alarms even
Aiden, assistant professor of genetics at Baylor and of computer science and computational and applied mathematics at Rice, said Sanborn
and high-performance computation to predict how a genome will fold. The team confirmed their predictions by making tiny modifications in a cell genome
Future work for Tkaczyk and his colleagues includes developing an automated algorithm for white blood cell identification,
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.
#How wireless x-ray vision could power virtual reality A team of researchers at Massachusetts institute of technology (MIT) Computer science
we can extract meaningful signals through a series of algorithms we developed that minimize the random noise produced by the reflections.
These are processed then by a computer algorithm and transmitted to electrodes attached to the subject knees,
the American Midwest was devastated by heavy and repeated flash flooding as a result of Hurricane Dean and Tropical Storm Erin dumping massive amounts of rain on several states.
We then store the binary code of 0 or 1 on the'spin'of the electron,
Rollin used a genetic algorithm along with a series of complex mathematical expressions to analyze each step of the enzymatic process that breaks down corn stover into hydrogen and carbon dioxide.
which is affiliated with the ARC Centre of Excellence for Quantum Computation & Communication Technology, was first in the world to demonstrate single-atom spin qubits in silicon,
A numerical algorithm developed by the research team for the D3 platform is capable of distinguishing cells from beads
"This technology is built on a new mathematical algorithm that we developed, called inertial imaging. It can be used as a diagnostic tool
also demonstrates how computer science and statistical methods may combine to aggregate and analyze very large--and stunningly diverse--genomic'big data'collections.
It uses a set testing algorithm to minimize subjective tester bias. It also uses age-specific visual acuity standards to provide a simple pass/fail result for four age groups (3, 4, 5 or 6,
The tool is called an algorithm CONSERTING, short for Copy Number Segmentation by Regression Tree in Next Generation Sequencing.
and sensitivity than other techniques, including four published algorithms used to recognize CNA in whole-genome sequencing data.
"CONSERTING helped us identify alterations that other algorithms missed, including previously undetected chromosomal rearrangements and copy number alterations present in a small percentage of tumor cells."
The algorithm also helped identify genetic changes that are present in a small percentage of a tumor's cells.
which is a machine learning algorithm, with next-generation, whole-genome sequencing. Machine learning capitalizes on advances in computing to design algorithms that repeatedly
and rapidly analyze large, complex sets of data sets and unearth unexpected insights.""This combination has provided us with a powerful tool for recognizing copy number alterations,
This improvement on what's called the"single trial decoder"algorithm revealed the neural signals that occurred during a momentary hesitation
The single-trial advantage Using his single-trial decoder algorithm, Kaufman could analyze moment-by-moment brain activity during each individual decision.
"This deeper understanding of decision-making will help researchers to fine-tune the control algorithms of neural prostheses to enable people with paralysis to drive a brain-controlled prosthetic arm or guide a neurally-activated cursor on a computer screen.
and an algorithm automatically analyzes the telltale"wriggling"motion of the worms in video captured by the phone.
an associate professor of electrical engineering and computer sciences, has found that a slight tilt of the magnets makes them easy to switch without an external magnetic field.
"We don't need new image-processing algorithms and we don't need extra processing to eliminate the noise, because we don't collect the noise.
if only briefly, noted Kyros Kutulakos, U of T professor of computer science.""Even though we're not sending a huge amount of photons, at short time scales,
and Matthew O'Toole, a U of T Ph d. computer science student. The research was supported by the National Science Foundation, the U s army Research Laboratory,
Much like how a computer programmer edits computer code, scientists could one day replace a person's broken
but constructing enough of them to perform a useful computation is difficult. In the usual approach to quantum computing, quantum gates are applied in a specific order, one gate before another.
Surprisingly, this effect can be used to reduce the total number of gates required for certain quantum computations.
"In fact, we were able to run a quantum algorithm to characterize the gates more efficiently than any previously known algorithm,
The scientists were able to accomplish a computation with an efficiency that cannot be achieved within the old scheme of quantum computing.
This work opens a door for future studies on novel types of quantum computation. Although its full implications are still unknown,
"This new technique is sort of a twist on a red-eye reducing camera flash, where the first flash causes the subject's pupils to close
and the second illuminates the scene.""In their setup, instead of xenon-powered flash the team used two LEDS.
when it flashes (you could say this LED gives the quantum dots red eye). At the same time, a second, different color LED flash illuminates metallic orientation marks placed on the surface of the semiconductor wafer the dots are embedded in.
Then a sensitive camera snaps a 100-micrometer by 100-micrometer picture. By cross-referencing the glowing dots with the orientation marks,
Then, using a complex computer algorithm, they determined the responses of all possible combinations of the segments.
and send information via Bluetooth to an external laptop that performs complex algorithms to interpret the sign
Many experiments at different temperatures and comprehensive computations were necessary to both preserve the crystalline state of the semiconducting material as well to produce the well-defined structures at the nanoscale.
The research, led by Yinzhi Cao assistant professor of computer science and engineering at Lehigh University (Bethlehem, PA) with coauthors Xiang Pan and Yan Chen from Northwestern University
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.
says Timothy Lu, an associate professor of electrical engineering and computer science and biological engineering.""These bacteriophages are designed in a way that's relatively modular.
and cause the inquirer to see a flash of light known as a"phosphene.""The phosphene--which might look like a blob,
The first experiment evolved out of research by co-author Rajesh Rao, a UW professor of computer science and engineering,
Other co-authors are UW computer science and neurobiology undergraduate student Darby Losey, UW bioengineering doctoral student Jeneva Cronin, UW bioengineering doctoral student Joseph Wu,
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."
We then store the binary code of 0 or 1 on the'spin'of the electron,
So-called free-electron lasers (FELS) generate flashes of laser light by sending high-speed electrons from a particle accelerator down an undulating path,
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
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 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
and Marcia Oalley, professor of mechanical engineering and computer science. The project won the eople Choiceaward at Rice recent Engineering Design Showcase.
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
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 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.
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,
SDSC used the formal launch of Comet to also celebrate 30 years as a national resource for advanced computation.
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.
A machine-learning algorithm calibrates the system to different brains while tests using Google glass helped the team calibrate
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,
#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,
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
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
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
One example is Virginia Tech computer science professor Wu Feng and his team, who have developed tools to help other researchers
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.
#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,
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,
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