In a contest that echoes Deep Blue’s chess victory over Garry Kasparov and Watson beating two Jeopardy! Champions, computer poker software developed at Carnegie Mellon University will challenge four of the world’s best professional poker players in a “Brains Vs. Artificial Intelligence” competition beginning April 24, 2015, at Rivers Casino.
After 60 years of false starts, the integration of artificial intelligence with probability and...
A predictive model using machine learning algorithms is able to predict with 75 percent accuracy...
Scientists have been working with marine conservation group to develop better techniques for...
Solving the Trust Equation: Socially Intelligent Computers can turn Difficult Negotiations into Win-win SituationsMarch 25, 2015 12:19 pm | by A*STAR Institute of High Performance Computing | News | Comments
Programming fundamental social intelligence skills into software agents can make humans substantially more trusting of online negotiations, which can lead to superior outcomes in e-commerce transactions, finds a team of technology researchers, business experts and cognitive scientists. People are naturally skeptical of negotiations lacking face-to-face contact...
NVIDIA has announced that its Pascal GPU architecture, set to debut next year, will accelerate deep learning applications 10X beyond the speed of its current-generation Maxwell processors. NVIDIA CEO and co-founder Jen-Hsun Huang revealed details of Pascal and the company’s updated processor roadmap in front of a crowd of 4,000 during his keynote address at the GPU Technology Conference, in Silicon Valley.
A new app for the iPad could change the way wildlife is monitored. Wildsense, an initiative from a group of researchers at the University of Surrey, is designed to use citizen science, the concept of allowing people to get directly involved in science, to help in the conservation of rare and endangered species.
University of Pittsburgh, Carnegie Mellon University, UPMC Form Alliance to Transform Healthcare through Big DataMarch 17, 2015 2:19 pm | by UPMC | News | Comments
Today’s health care system generates massive amounts of data — electronic health records, diagnostic imaging, prescriptions, genomic profiles, insurance records, even data from wearable devices. Information has always been essential for guiding care, but computer tools now make it possible to use that data to provide deeper insights. Leveraging big data to revolutionize healthcare is the focus of the Pittsburgh Health Data Alliance.
Researchers from Brown and Johns Hopkins universities have come up with a new way to evaluate how well computers can divine information from images. The team describes its new system as a “visual Turing test,” after the legendary computer scientist Alan Turing’s test of the extent to which computers display human-like intelligence.
Computers that function like the human brain could soon become a reality thanks to new research using optical fibers made of specialty glass, which has the potential to allow faster and smarter optical computers capable of learning and evolving. Researchers have demonstrated how neural networks and synapses in the brain can be reproduced, with optical pulses as information carriers, using special fibers made from chalcogenides.
Pharmaceutical companies are under intense pressure. With patents expiring and cost pressures growing, the speed and productivity of drug discovery and manufacturing are under the microscope. It is timely, then, that researchers recently shared promising findings on Eve — an artificially-intelligent robot scientist. Eve discovered a compound with anti-cancer properties. Is this a glimpse of what the lab of the future might look like?
Researchers gave a computer program the outline of how a magic jigsaw puzzle and a mind-reading card trick work, as well the results of experiments into how humans understand magic tricks. With this information, the system created completely new variants on those tricks which can be delivered by a magician.
GPU-accelerated applications have become ubiquitous in scientific supercomputing. Now, we are seeing increased adoption of GPU technology in other computationally demanding disciplines, including deep learning, one of the fastest growing areas in the machine learning and data science fields
Eve, an artificially-intelligent ‘robot scientist’ could make drug discovery faster and much cheaper, say researchers. The team has demonstrated the success of the approach, as Eve discovered that a compound shown to have anti-cancer properties might also be used in the fight against malaria.
Optimization algorithms, which try to find the minimum values of mathematical functions, are everywhere in engineering. Among other things, they’re used to evaluate design tradeoffs, to assess control systems, and to find patterns in data. One way to solve a difficult optimization problem is to first reduce it to a related but much simpler problem, then gradually add complexity back in ...
IBM has announced the first winner of its Watson University Competition, part of the company's partnership with top universities through its cognitive computing academic initiative. The winning team of student entrepreneurs from the University of Texas at Austin will receive $100,000 in total in seed funding to help launch a business based on their Watson app, which offers the promise of improved citizen services.
For household robots to be practical, they need to be able to recognize the objects they’re supposed to manipulate. While object recognition is one of the most widely studied topics in AI, even the best detectors still fail much of the time. Researchers believe the robots should take advantage of their mobility, imaging objects from multiple perspectives. Matching up objects in the different images, however, poses computational challenges.
IBM has announced that it received a record 7,534 patents in 2014 — marking the 22nd consecutive year that the company topped the annual list of U.S. patent recipients. IBM inventors earned an average of more than 20 patents per day in 2014, propelling the company to become the first to surpass more than 7,000 patents in a single year.
Researchers have found that, based on enough Facebook Likes, computers can judge your personality traits better than your friends, family and even your partner. Using a new algorithm, researchers have calculated the average number of Likes artificial intelligence (AI) needs to draw personality inferences about you as accurately as your partner or parents.
NASA and Nissan have announced the formation of a five-year research and development partnership to advance autonomous vehicle systems and prepare for commercial application of the technology. Researchers from NASA’s Ames Research Center and Nissan’s U.S. Silicon Valley Research Center will focus on autonomous drive systems, human-machine interface solutions, network-enabled applications, and software analysis and verification.
In 2007, Google unleashed a fleet of cars with roof-mounted cameras to provide street-level images of roads around the world. Now, an MIT spinout is bringing similar drive-by innovations to energy efficiency by deploying cars with thermal-imaging rooftop rigs that create heat maps of thousands of homes and buildings per hour, detecting fixable leaks in building envelopes — windows, doors, walls and foundations — to help curb energy loss.
Researchers are closer to creating underwater robotic creatures with a brain of their own — besides behaving like the real thing. In the near future, it would not be too tall an order for the National University of Singapore (NUS) team to produce a swarm of autonomous tiny robotic sea turtles and fishes, for example, to perform hazardous missions, such as detecting nuclear wastes underwater or other tasks too dangerous for humans.
For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognizing objects. Until now, no computer model has been able to match the primate brain at visual object recognition during a brief glance. However, a new study from MIT neuroscientists has found that one of the latest generation of these so-called “deep neural networks” matches the primate brain.
In the decade since the genome was sequenced, scientists and doctors have struggled to answer an all-consuming question: Which DNA mutations cause disease? A new computational technique developed at the University of Toronto may now be able to tell us. A team has developed the first method for ‘ranking’ genetic mutations based on how living cells ‘read’ DNA, revealing how likely any given alteration is to cause disease.
Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a few examples. In a paper appearing at the Neural Information Processing Society’s conference next week, MIT researchers present a new system that bridges these two ways of processing information, so that humans and computers can collaborate to make better decisions.
A Georgia Tech professor recently offered an alternative to the celebrated “Turing Test” to determine whether a machine or computer program exhibits human-level intelligence. The Turing Test — originally called the Imitation Game — was proposed by computing pioneer Alan Turing in 1950. In practice, some applications of the test require a machine to engage in dialogue and convince a human judge that it is an actual person.
Cognitive apps are in market today and continue to change the way professionals and consumers make decisions. To help accelerate this transformation, the IBM Watson Group announced an investment in Pathway Genomics, a clinical laboratory that offers genetic testing services globally, to help deliver the first-ever cognitive consumer-facing app based on genetics from a user’s personal makeup.
Through a computational algorithm, researchers have developed a neural network that allows a small robot to detect different patterns, such as images, fingerprints, handwriting, faces, bodies, voice frequencies and DNA sequences. Nancy Guadalupe Arana Daniel focused on the recognition of human silhouettes in disaster situations.
From performing surgery to driving cars, today’s robots can do it all. With chatbots recently hailed as passing the Turing test, it appears robots are becoming increasingly adept at posing as humans. While machines are becoming ever more integrated into human lives, the need to imbue them with a sense of morality becomes increasingly urgent. But can we really teach robots how to be good? An innovative piece of research looks into the matter
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