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.
Disney’s Magic Bench shows off a way to let multiple users interact with AR characters in real time, with real immersive feedback.
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.
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.
When Microsoft Hololens are combined with Visible Patient 3D modelling converted by IRCAD in the IHU Hybrid Room…
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.
Artificial intelligence software could generate highly realistic fake videos of former president Barack Obama using existing audio and video clips of him, a new study [PDF] finds.
Such work could one day help generate digital models of a person for virtual reality or augmented reality applications, researchers say.
Computer scientists at the University of Washington previously revealed they could generate digital doppelgängers of anyone by analyzing images of them collected from the Internet, from celebrities such as Tom Hanks and Arnold Schwarzenegger to public figures such as George W. Bush and Barack Obama. Such work suggested it could one day be relatively easy to create such models of anybody, when there are untold numbers of digital photos of everyone on the Internet.