Category: augmented reality
VNTANA and Satisfi Labs are collaborating on a hologram concierge platform. The finished product will allow businesses to combine a virtual assistant powered by artificial intelligence with augmented reality visuals.
VNTANA and Satisfi Labs have announced a new platform that will allow businesses to develop a hologram concierge to be used in business. The project fuses artificial intelligence (AI) with augmented reality (AR) technology to produce a 3D persona that can interact with customers.
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For millennials and the generations to follow, the future will differ radically from their parents’ world. Massively powerful digital technologies will bring seismic changes in the lifestyles, opportunities, privileges and choices experienced by young people compared to their parents.
That problem from the frontier of technology is why many tech leaders foresee the need for a new “edge computing” network—one that turns the logic of today’s cloud inside out. Today the $247 billion cloud computing industry funnels everything through massive centralized data centers operated by giants like Amazon, Microsoft, and Google. That’s been a smart model for scaling up web search and social networks, as well as streaming media to billions of users. But it’s not so smart for latency-intolerant applications like autonomous cars or mobile mixed reality.
Cloud computing’s big, distant data centers can’t support VR and self-driving cars—but “edge computing” can.
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A service lab has turned a lieutenant’s brainstorm into a testable prototype dubbed the GunnAR augmented-reality headset.
In just a year, a wearable headset designed to help U.S. Navy gunnery sailors cut through the fog of combat has evolved from a lieutenant’s brainstorm to a prototype being tested in various exercises.
Conceived by a junior officer aboard the destroyer Gridley, the idea for GunnAR was presented at last year’s ONR Innovation Jam, where it received first prize — and $100,000 to make it real. After rapid progressions through various development milestones, the blue-tinted visor was put to the test in the Trident Warrior 2017 experiment aboard USS Bunker Hill, where sailors used it to put live fire on targets.
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THÉORIZ studio is bringing an empty room to life with motion tracking and augmented reality. Projections in the room change as you interact with them. They offer environments like walking up stairs, pushing down walls, jumping on to surfaces or walking through doors that look like a portal. This could end up being one trippy ride.
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By Marc Pollefeys, Director of Science, HoloLens
It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing.
Although we have seen large improvements in the accuracy of recognition as a result of Deep Neural Networks (DNNs), deep learning approaches have two well-known challenges: they require large amounts of labelled data for training, and they require a type of compute that is not amenable to current general purpose processor/memory architectures. Some companies have responded with architectures designed to address the particular type of massively parallel compute required for DNNs, including our own use of FPGAs, for example, but to date these approaches have primarily enhanced existing cloud computing fabrics.
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