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Stanford University

Stanford Professor Shan Wang and graduate student Richard Gaster, left, have developed an ...

Extremely sensitive nanosensor chips are being developed by Stanford University researchers in an attempt to detect the early signs of cancer, called biomarkers, in humans. The researchers say their sensor is around 1,000 times more sensitive than current technology and is accurate regardless of which bodily fluid is being analyzed. It can also detect biomarker proteins over a range of concentrations three times broader than any existing method. It is forecast that earlier detection of cancer biomarkers will lead to improved survival rates among cancer sufferers. Read More

When hit by green light, nitrogen impurities in diamonds become fluorescent and emit a bri...

While working on their long-term goal of achieving a true quantum computer, a team of researchers from Stanford University, the Joint Quantum Institute, MIT and Texas A&M University has recently discovered that tiny nitrogen impurities in diamonds make outstanding magnetic probes in the cellular and molecular scale, with important applications that could truly benefit medical research. Read More

Silicon nanotubes after ultrasonic treatment - inset is an expanded image of a single nano...

In news that could greatly extend the range of electric cars, researchers have shown that replacing the conventional graphite electrodes in lithium-ion batteries with silicon nanotubes can produce a battery that can store ten times more charge. The researchers developed a silicon anode that, aside from extending the range of electric cars, could also make gasoline-electric hybrid vehicles more efficient by allowing them to run in electric mode for longer periods. Read More

Marc Levoy, professor of Computer Science and of Electrical Engineering and graduate stude...

Open-source started with the Netscape Navigator browser and has expanded to include operating systems for PCs (Linux) and mobile phones (Android). Now photo scientists at Stanford University are out to bring the advantages of open-source development to digital photography with the creation of an open-source digital camera giving programmers around the world the chance to create software that will teach cameras new tricks. Read More

Surface electron band structure of bismuth telluride. (Credit: Image courtesy of Yulin Che...

How often do you find yourself with a portable computer burning up on your lap with strange noises coming from your fan? Thanks to a recent research conducted at Stanford University, bismuth telluride — a new, easy-to-manipulate material with unique electrical properties — could make computer fans a distant memory while allowing for much faster and power-efficient devices. Move over electronics - here comes spintronics. Read More

Flexible transistors arrays with organic crystal rubrene around a glass vial (Credit: Stan...

Researchers at Stanford University have discovered a more reliable way of printing semiconducting organic compounds which also delivers improved performance - a breakthrough which could finally pave the way for the mass production of plastic electronics. Read More

A superior, low-cost prosthetic knee joint, developed by Stanford’s JaipurKnee project t...

An artificial knee costing just USD$20 promises to deliver much needed help to amputees who are disadvantaged or impoverished – particularly when the price of high-end titanium knee joints can range anywhere from USD$10,000 to USD$100,000. The artificial knee, dubbed the JaipurKnee, was developed by Joel Sadler, a lecturer in mechanical engineering and d'Arbeloff Fellow, and his team at the Hasso Plattner Institute of Design at Stanford University. Read More

Stanford University wins DARPA Grand Challenge race for robots - five complete course

October 10, 2005 The DARPA Grand Challenge race for autonomous robotic vehicles has been run and won, with five robots completing the 132 mile course and the first four all finishing within minutes of each other. History will record however, that the winner was Stanford University’s Volkswagen-based "Stanley" beating out the two Carnegie Mellon Team Red entries by 11 minutes and 21 minutes respectively, with the Gray Team a further 16 minutes behind in fourth place. Had minor circumstances played out differently, any one of those four teams could have taken the US$2 million first prize and a place in history. As the Stanford vehicle crossed the line after 132 miles, the team's followers cheered and lifted team leader Sebastian Thrun shoulder high. Thrun is the director of Stanford's Artificial Intelligence Lab and Associate Professor of Computer Science at Stanford University. Congratulations to Stanford Artificial Intelligence Lab and to the team, and congratulations too to Carnegie Mellon robotics professor William "Red" Whittaker who put two vehicles in the race and finished with a close second and third place. It was a far cry from the results of the first DARPA Challenge, where the best-performed vehicle travelled just 7 miles – all but two of the 23 vehicles that started this event bettered that performance and four completed the course inside the allotted time. Most importantly, the Defense Advanced Research Projects Agency (DARPA) sponsorship of the event over the last two years has yielded pure gold – the US$2 million prize has catalysed a dramatic acceleration in the development of autonomous ground vehicle technologies and demonstrated conclusively that autonomous robotic vehicles can travel long distances across difficult terrain at militarily relevant rates of speed. Read on for a full report from Gizmag’s Robotics reporter, Dan Christian with images and assistance from Eric Zbinden. Read More

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