Wondering what all happened in the tech world since last week? Nothing but so much, starting from advancements in 5G to early findings of cancer. Here’s your weekly update from This Week In Digital
Adobe launches Project Aero AR authoring tool in private beta – Khari Johnson, October 15, 2018.
Adobe today announced the private beta of Project Aero an augmented reality authoring tool and content delivery platform for smartphones. Project Aero will allow creatives to make augmented reality artifacts without the need to learn how to use things like the Unity game engine. Project Aero uses the USDZ file format for Apple’s ARKit. Adobe’s strategy is democratize creation of AR content without the need to learn deep coding, new platform or new tools. If you know Creative Cloud applications like Photoshop, Premiere or Lightroom then you will be able to make AR artifacts from things like image, video, or PSD files become part of the physical world around you.
Samsung acquires Spanish AI-powered network analytics company Zhilabs to bolster 5G ambitions – Paul Sawers, October 16, 2018.
Samsung announced that it has acquired Zhilabs, a Spanish network analytics company that leverages artificial intelligence (AI) to monitor carriers’ network performances and data traffic across myriad services.
Barcelona-based Zhilabs’ flagship product is Custom Air, formerly known as FlowSight, which helps carriers drill down into the network performance experience at the individual subscriber level. It provides insights into messaging (SMS and MMS), data (connectivity, streaming, and apps), and roaming, among other facets of their service, and allows carriers to troubleshoot and prioritize issues based on the direct impact on their business. Crucially, this is all automated.
Open AR Cloud Organization launching effort to connect all augmented apps and services – Chris O’Brien, October 16, 2018.
The Open AR Cloud Organization plans to develop an AR cloud in the hopes of linking all of these games and services into a shared platform that creates a singular augmented view of the entire world. It will be formally unveiled this week at the Augmented World Expo EU in Munich, scheduled for October 18 and 19. The Open AR Cloud promises that we can really bring AR to the mainstream by allowing collaboration and multiple players to participate. This is a big moment for AR Market.
Startup Ludenso takes on Magic Leap and HoloLens in augmented reality – Dean Takahashi, October 16, 2018.
Norwegian technology start-up Ludenso (formerly MovieMask) has started a Kickstarter crowdfunding campaign for its augmented reality glasses for mobile devices, dubbed MagiMask. MagiMask and its tracking system has been quietly in development for two years, and it is now available to preorder. Ludensco’s low cost and innovative technology will enable developers around the world to have the hardware tools they need to reach millions of customers and give tech enthusiasts the opportunity to own an AR headset without having to spend thousands of dollars.” Ludenso wants to change the way people engage and interact with the world through MagiMask. The AR head-mounted display (HMD) supports AR-capable smartphones as large as Samsung Galaxy S9+ and Apple’s iPhone XS Max.
Intel opens Tech Learning Lab roaming VR truck in the Bronx – Dean Takahashi, October 17, 2018.
Intel is launching the Tech Learning Lab, a custom-built mobile container truck outfitted with virtual reality demo stations, powerful PCs, and IoT smart whiteboards. The lab and its hands-on workshops are kicking off at the Bronx Academy of Letters, where attendees can get lessons in artificial intelligence, coding, and robotics. The VR experiences include location-based edutainment; a virtual field trip to the Renwick Gallery at the Smithsonian American Art Museum in Washington, D.C.; and a robotics lab, chemistry lab, dissection lab, arts lab, and space lesson.
University of Central Florida’s AI finds early lung cancer with up to 97% sensitivity – Kyle Wiggers, October 18, 2018.
Lung cancer is the leading cause of cancer death among men and women worldwide, according to the American Cancer Society. Successful patient outcomes depend on early detection — of the half of new patients diagnosed after lung cancer has spread, only 4 percent will live for five years. Fortunately, advances in artificial intelligence (AI) could make it easier for clinicians to spot signs of tumor growth more accurately than with eyes alone. A paper recently published on the preprint server Arxiv.org details a deep learning method for lung detection. Using a convolutional neural network (CNN) — a layered machine learning model that mimics the behavior of neurons in the human brain — researchers at the University of Florida’s Center for Research in Computer Vision (CRCV) were able to identify small nodules of lung cancer with 95 to 97 percent sensitivity.
The Future of Virtual Reality Features Resolution of the Human Eye – Jeffrey Heimgartner, October 18, 2018.
The potential uses for virtual reality (VR) and mixed reality (XR) are just beginning to touch the surface of what is possible. While some researchers are looking for ways to cure motion sickness, other projects are focused on giving people a glimpse into the lives of others, as well as into nature itself. Although VR headsets have come a long way, in providing a view of alternate realities, they still lack a view through a truly human eye. Since its 2016 inception, Helsinki-based Varjo Technologies’ mission has been to change that. Varjo is creating the first VR/MR product with human eye resolution.
Ticketmaster to Enhance Ticketing System with Blockchain in New Partnership – Helen Partz, October 18, 2018.
Global ticketing giant Ticketmaster has acquired blockchain-focused live events firm Upgraded, according to an Oct. 18 press release.Ticketmaster, a division of the world’s largest live-entertainment business Live Nation, plans to use blockchain technology through the partnership as a way to provide more transparency and better control ticket distribution. Additionally, the company hopes it will protect clients from fraud associated with the existing ticketing system, which works in the form of printed or PDF-based tickets.The blockchain live events company Upgraded will enable Ticketmaster to digitize traditional tickets into interactive units protected by blockchain technology via encrypted barcodes. The press release notes that the new solution will be available without special requirement from a venue to replace existing access control hardware.
Fed Up With AI Mistakes? Blockchain Startup Follows ‘Wikipedia Model’ to Make It Better – Connor Blenkinsop, October 19, 2018.
Artificial intelligence (AI) is advancing by leaps and bounds, with exciting new applications launching every day. But a blockchain-based startup CEN believes the transition from an “information economy” to an “intelligence economy” will prove a bumpy ride for many people. Large corporations have built most of the common AI systems that many people use today. CEN says this centralization has the danger of monopolizing AI – leaving most of us out of the loop. According to CEN, this is not the only problem. Right now, AI systems make basic errors that human common sense can avoid. These systems need intensive training if they are to enhance our world. Acknowledging these issues, CEN says it has found the solution: using the power of community to teach AIs.
Deloitte: 42% of executives believe AI will be of ‘critical importance’ within 2 years – Kyle Wiggers, October 21, 2018.
Companies are ramping up investments in artificial intelligence (AI) technologies. “Companies are excited about the potential of AI to improve performance and competitiveness and for good reason,” said Dr. Jeff Loucks, executive director at Deloitte’s Center for Technology, Media, and Telecommunications. “But to reach this potential, companies must engage risk, address talent shortfalls, and execute well. While AI’s upside is significant, haste can leave companies with bridges to nowhere pilots that don’t scale or projects with no business benefit.” The report breaks out AI adoption into four categories: machine learning, or the ability of statistical models to develop capabilities and autonomously improve their performance over time; deep learning, a form of machine learning involving neural networks; natural language processing, the ability to parse meaning from text; and computer vision, techniques that extract intent out of visual elements.