It’s a very good plan for some very good boys and girls.
The U.S. Army’s military working dogs are entering augmented reality, thanks to the service’s investment in a company developing AR goggles for canines.
➡ You love badass military tech. So do we. Let’s nerd out together.
California-based company Mojo has announced its latest prototype Mojo Lens. This new version includes the world’s smallest and densest display for projecting augmented reality (AR) imagery.
It’s a reference to the evil form in the ‘Lord of the Rings’ books. For those unfamiliar with the ‘Lord of the Rings” books and movies, the Eye of Sauron is the chief antagonist in the series, exemplified as a flaming eye and that is a metaphor for pure evil. It’s not something anyone would want to be compared to unless, of course, you are Meta founder and CEO Mark Zuckerberg.
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Mark Zuckerberg (FB/IG) is the founder, chairman, and CEO of Meta, which he originally founded as Facebook in 2004. Mark is responsible for setting the overall direction and product strategy for the company. In October 2021, Facebook rebranded to Meta to reflect all of its products and services across its family of apps and a focus on developing social experiences for the metaverse—moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
He is also the co-founder and co-CEO of the Chan Zuckerberg Initiative with his wife Priscilla, which is leveraging technology to help solve some of the world’s toughest challenges—including supporting the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of the twenty-first century.
Mark studied computer science at Harvard University before moving to Palo Alto, California, in 2004.
Mojo Vision said it has created a new prototype of its Mojo Lens augmented reality contact lenses. This smart contact lens will bring “invisible computing” to life, the company believes.
The Mojo Lens prototype is a critical milestone for the company in its development, testing, and validation process, and is an innovation positioned at the intersection of smartphones, augmented reality/virtual reality, smart wearables, and health tech.
The prototype includes numerous new hardware features and technologies embedded directly into the lens — advancing its display, communications, eye tracking, and power system.
With batteries, motion sensors, and a microLED on board, Mojo lets me try out its first apps.
The Hubble Space Telescope has revealed a single star whose light has traveled for 12.9 billion years to Earth, having come from a universe just 900 million years old. It’s currently the most distant star known, and the team has dubbed it Earendel*.
The discovery is a huge jump, as the previous record-holder for more distant star existed in a universe 4 billion years old.
The iconic observatory had some help from nature’s own optics: The vast mass of a foreground cluster of galaxies, sitting just so between us and the distant star, acts like a lens, its gravity magnifying the star’s light thousands-fold. The discovery is published in the March 31st Nature.
American Robotics CEO Reese Mozer has no beef with drone deliveries, but he thinks all the hoopla surrounding aerial transport of burgers and burritos is drowning out news about farther-reaching UAV activities that are dramatically changing the way businesses operate. He tells DroneDJ about that transformative innovation, and how American Robotics’s (AR) leading role in the complete automation of critical drone services to industry is set to take wing.
Nevertheless, Mozer adds, that action manages to generate sufficient media and public excitement to divert attention from the more complex, vital, and – in total financial terms – valuable surveying and inspection services drone automation provides heavy industry, energy, railroad, and infrastructure operators. And that’s precisely the UAV sector activity he predicts will begin taking off and turning heads this year.
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.
