Lifeboat Foundation

Munich. BMW has become the first car manufacturer to introduce a mixed reality system into vehicle development that has been devised entirely using components from the computer games industry. This offers some significant advantages over the VR systems that have existed to date, and is the first step towards making virtual reality a very real part of many developer workstations in the not-too-distant future.

The adoption of this computer system makes it possible to save a great deal of time and effort, especially during the early stages of development. VR investigations could previously only be conducted at costly specialised facilities. By incorporating consumer electronics, the developers gain an unprecedented degree of flexibility, because any modifications can be implemented and tested very quickly. In addition to this, developers around the globe will be able to take part in the decision-making process from their own office without having to travel too far. Only once the draft designs have been approved with the help of the 3D headsets will they actually be built for further testing.

BMW has been employing VR systems in the development process since the 1990s. It is now reaffirming its pioneering status by systematically implementing technology from a sector which has not previously been the focal point of industrial applications. Since this spring, components from the computer games industry have been allowing engineers and designers to immerse themselves more and more often in virtual worlds that are increasingly realistic. The shorter innovation cycles of consumer electronics result in a far wider scope of functions together with lower costs. This thereby enables more vehicle functions to be translated to a VR model in ever more realistic fashion. It is furthermore possible to scale the system to many different developer workstations with little effort.

Continue reading “BMW opts to incorporate HTC Vive VR headsets and mixed reality into the development of new vehicle models. Computer images instead of laboriously constructed draft models: greater flexibility, faster results and lower costs” »

The theoretical results of a piece of international research published in Nature, whose first author is Ion Errea, a researcher at the UPV/EHU and DIPC, suggest that the quantum nature of hydrogen (in other words, the possibility of it behaving like a particle or a wave) considerably affects the structural properties of hydrogen-rich compounds (potential room-temperature superconducting substances). This is in fact the case of the superconductor hydrogen sulphide: a stinking compound that smells of rotten eggs, which when subjected to pressures a million times higher than atmospheric pressure, behaves like a superconductor at the highest temperature ever identified. This new advance in understanding the physics of high-temperature superconductivity could help to drive forward progress in the search for room-temperature superconductors, which could be used in levitating trains or next-generation supercomputers, for example.

Superconductors are materials that carry electrical current with zero electrical resistance. Conventional or low-temperature ones behave that way only when the substance is cooled down to temperatures close to absolute zero (−273 °C o 0 degrees Kelvin). Last year, however, German researchers identified the high-temperature superconducting properties of hydrogen sulphide which makes it the superconductor at the highest temperature ever discovered: −70 °C or 203 K.

Samsung’s dream of creating smart contact lenses capable of capturing images and shooting videos has just drawn closer. However, the patent reveals that Samsung has been working on the concepts and not necessarily the actual product which they trademarked as Gear Blink, which was filed in both South Korea and the U.S.

‘The analysis component of the contact lens can process the raw image data of the camera to determine processed image data indicating that the blind person is approaching intersection with a crosswalk and establish that there is a vehicle approaching the intersection’. It could very well be a smart contact lens. It’s a contact lens that consists of a small display, camera, RF antenna, and sensors to detect eye movement.

SamMobile states that the “lenses can provide a more natural way to provide augmented reality than smart glasses”. While the display projects images directly into the eye of the person wearing the contacts, an external device like a smartphone is needed for processing.

Continue reading “Samsung Files Patent For Augmented Reality Smart Contact Lenses” »

https://youtube.com/watch?v=ZN2ZiyVffPI

1st success seen in system designed to help aircraft automatically avoid mid-air collisions.

Flight tests demonstrate optical sense-and-avoid capability that detects and tracks nearby aircraft, setting the stage for future manned and unmanned aircraft to autonomously steer clear of them.

Very nice; we’re getting closer.

But superposition is fragile, and finding ways to preserve it is one of the chief obstacles to developing large, general-purpose quantum computers. In today’s Nature, MIT researchers describe a new approach to preserving superposition in a class of quantum devices built from synthetic diamonds. The work could ultimately prove an important step toward reliable quantum computers.

In most engineering fields, the best way to maintain the stability of a physical system is feedback control. You make a measurement — the current trajectory of an airplane, or the temperature of an engine — and on that basis produce a control signal that nudges the system back toward its desired state.

Continue reading “Advance may make quantum computing more practical” »

Could we see race car driver careers become all AI? Nvidia is testing the concept.

Formula E is going completely autonomous with the all-new Roborace series slated for the upcoming race season. At its GTC developer conference, Nvidia announced these autonomous, electric race cars will be powered by Nvidia Drive PX 2, a supercomputer built for self-driving cars.

Drive PX 2 is powered by 12 CPU cores and four Pascal GPUs that provides eight teraflops of computer power. The supercomputer-in-a-box is vital to deep learning and trains artificial intelligence to adapts to different driving conditions, including asphalt, rain and dirt.

Continue reading “Here’s how Nvidia is powering an autonomous, electric race car” »

At a time when PCs have become rather boring and the market has stagnated, the Graphics Processing Unit (GPU) has become more interesting and not for what it has traditionally done (graphical user interface), but for what it can do going forward. GPUs are a key enabler for the PC and workstation market, both for enthusiast seeking to increase graphics performance for games and developers and designers looking to create realistic new videos and images. However, the traditional PC market has been in decline for several years as consumer shift to mobile computing solutions like smartphones. At the same time, the industry has been working to expand the use of GPUs as a computing accelerator because of the massive parallel compute capabilities, often providing the horsepower for top supercomputers. NVIDIA has been a pioneer in this GPU compute market with its CUDA platform, enabling leading researchers to perform leading edge research and continue to develop new uses for GPU acceleration.

Now, the industry is looking to leverage over 40 years of GPU history and innovation to create more advanced computer intelligence. Through the use of sensors, increased connectivity, and new learning technique, researchers can enable artificial intelligence (AI) applications for everything from autonomous vehicles to scientific research. This, however, requires unprecedented levels of computing power, something the NVIDIA is driven to provide. At the GPU Technology Conference (GTC) in San Jose, California, NVIDIA just announced a new GPU platform that takes computing to the extreme. NVIDIA introduced the Telsa P100 platform. NVIDIA CEO Jen-Hsun Huang described the Tesla P100 as the first GPU designed for hyperscale datacenter applications. It features NVIDIA’s new Pascal GPU architecture, the latest memory and semiconductor process, and packaging technology – all to create the densest compute platform to date.

Reports of the death of car-buying among millennials turn out to have been greatly exaggerated. But there’s one big reason ride-hailing services like Uber, and eventually autonomous vehicles, are still a threat to private car ownership.

Put simply, we just don’t use our cars very much.

Electric car batteries are getting cheaper.

Will we all drive electric cars one day? http://wef.ch/1MaNk4I