InWith Corporation says it’s created the world’s first soft electronic contact lens that could work with smartphones or other external devices to show its wearer augmented reality.
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Computer engineers at Duke University have developed virtual eyes that simulate how humans look at the world accurately enough for companies to train virtual reality and augmented reality programs. Called EyeSyn for short, the program will help developers create applications for the rapidly expanding metaverse while protecting user data.
The results have been accepted and will be presented at the International Conference on Information Processing in Sensor Networks (IPSN), May 4–6, 2022, a leading annual forum on research in networked sensing and control.
“If you’re interested in detecting whether a person is reading a comic book or advanced literature by looking at their eyes alone, you can do that,” said Maria Gorlatova, the Nortel Networks Assistant Professor of Electrical and Computer Engineering at Duke.
HP appears to be strengthening its position as a provider of XR software for enterprise companies. Today it announced the release of a mobile device management (MDM) solution that’s designed to make deploying and managing large-scale VR easier.
Called HP ExtendXR, the software as a service (SaaS) was built in collaboration with ArborXR, an AR/VR device management company that came out of the VR arcade space in 2016.
HP says its collaboration with ArborXR is targeting companies who want to more easily scale their VR deployments, but also take advantage of HP’s global support and HP Horizon secure cloud infrastructure.
When video chatting with colleagues, coworkers, or family, many of us have grown accustomed to using virtual backgrounds and background filters. It has been shown to offer more control over the surroundings, allowing fewer distractions, preserving the privacy of those around us, and even liven up our virtual presentations and get-togethers. However, Background filters don’t always work as expected or perform well for everyone.
Image segmentation is a computer vision process of separating the different components of a photo or video. It has been widely used to improve backdrop blurring, virtual backgrounds, and other augmented reality (AR) effects. Despite advanced algorithms, achieving highly accurate person segmentation seems challenging.
The model used for image segmentation tasks must be incredibly consistent and lag-free. Inefficient algorithms may result in bad experiences for the users. For instance, during a video conference, artifacts generated by erroneous segmentation output might easily confuse persons utilizing virtual background programs. More importantly, segmentation problems may result in unwanted exposure to people’s physical environments when applying backdrop effects.
Byron Cook, the head of Amazon’s automated-reasoning (AR) group, think his field is entering a “golden era”, driven by a virtuous cycle of improving tools and b… See more.
Distributing proof search, reasoning about distributed systems, and automating regulatory compliance are just three fruitful research areas.
A report by Business Insider says Microsoft has scrapped plans for its own HoloLens 3 and has instead partnered with Samsung—but that no one really knows what’s going on.
Microsoft has reportedly scrapped its third-generation HoloLens, leaving the company’s “metaverse” plans in disarray.
According to a report from Business Insider, Microsoft killed off the HoloLens 3 in 2021, shifting to a planned device with Samsung instead. The problem? According to the publication, the company’s mixed-reality/augmented reality/virtual-reality division isn’t sure what it plans to do. That’s resulted in employees leaving for Meta and other companies instead.
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Nike translates its virtual world experience to augmented reality features in Nike’s NYC store.
Peter Nesswhy is he so eager for Biden’s approval? Doesn’t he have parents?
Eric KlienAdmin.
Peter Ness Biden keeps saying that GM is the U.S. leader in EVs and this ticks off Elon. In fact, the old GM plant in California that Tesla bought for a big $42 million produced more cars than any other U.S. factory last year. (All EVs, of course.)
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Surgeries require a lot of planning, practice, and precision. Doctors cannot afford to get distracted or lose focus when operating on a person. The use of AI in surgery aims to support doctors and supply them with the necessary information and surgical tools without disturbing them at any point.
Mixed reality makes it possible to use technology to assist doctors during surgeries and minimize risks.
Paul Milgram and Fumio Kishino first introduced the term mixed reality in 1994 in their paper titled A Taxonomy of Mixed Reality Visual Displays. MR combines computer vision, cloud computing, graphical processing, etc., to blend the physical and virtual worlds. Many companies have been developing MR applications that can be used in various industries.
Has the first phase of a new AI. Once the AI Research SuperCluster (RSC) is fully built out later this year, the company believes it will be the fastest AI supercomputer on the planet, capable of “performing at nearly 5 exaflops of mixed precision compute.”
The company says RSC will help researchers develop better AI models that can learn from trillions of examples. Among other things, the models will be able to build better augmented reality tools and “seamlessly analyze text, images and video together,” according to Meta. Much of this work is in service of its vision for the metaverse, in which it says AI-powered apps and products will have a key role.
“We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together,” technical program manager Kevin Lee and software engineer Shubho Sengupta wrote.
