Poetry has promoted Don Share to editor. Share was serving as a senior editor at the magazine.The Hearst Corporation has named Lincoln Millstein as a senior vice president and special assistant to the CEO. Millstein was serving as an executive vice president and deputy group head at Hearst Newspapers.Drea Bernardi has been named director of content development at Magnet Media. Bernaldi was previously a production coordinator for Mario Batali. Also, Paul Kontonis is now general manager. Kontonis was a vice president and group director of brand content at The Third Act.Modern Luxury Interiors has tapped Drew Limsky as its editor-in-chief. Limsky joins the publication from Mariner, where he was also editor-in-chief. Devin Tomb is now an associate lifestyle editor at SELF. Tomb was formerly an associate editor at Seventeen. And Deirdre Daly-Markowski was named intergrated digital director. She was previously corporate partnership director at Conde Nast Media Group.Real Simple promoted Lindsay Hunt to associate food editor. Hunt was previously serving as an assistant food editor.Time Inc. Branded Solutions has named Tom Kirwan vice president of digital sales. Kirwan was an associate publisher for the company’s entertainment group.
Smartphone design just got taken to another level. Nubia, an associate company to Chinese telecommunications company ZTE, just unveiled the world’s first wearable smart phone at MWC 2019. The smartphone, (or is it a smartwatch?), named the Nubia Alpha, looks like something out of a sci-fi novel, and it’s a first step toward the wearable tech of the future. The design is a bit cumbersome, the gold a bit gaudy, but the execution is commendable. You can make and receive phone calls, take pictures, and decide to control it either with your fingers or a series of hand gestures–all from the water resistant band around your wrist. Check out more details on the design and functionality of it here. Nubia hasn’t announced a release date or set a price, but it has stated the phone will be available for purchase, it’s not just a concept. The Nubia Alpha looks like either a house arrest bracelet or Batman’s phone CNET Asks 2:47 Tags Now playing: Watch this: Share your voice Comments The Nubia Alpha wraps a phone around your wrist We have seen concepts and prototypes of wearable phones before. And of course, the smartwatch accompaniments to phones, like the Apple Watch, but Nubia seems to be the first in the game to actually sell a standalone wearable phone. This very well may be the phone of the future, but is the Nubia Alpha the one to propel us there? Are you even interested in wearable phones such as the this? We have questions like this in the poll below, and we would love to gauge your reaction to this phone. If you feel like explaining a bit more, hop on over to the comment section and let us know your opinion. Can’t wait to see your responses.Check out previous installments of CNET Asks here, and cast your votes on a wide range of topics. If there is a particular question you’d like to see asked, or if you’d like a shot at being featured in a future edition, join us at CNET Member Asks and submit your topic idea.Not seeing the poll below? Click here to see poll 8 Photos 3 Wearable Tech Gadgets Mobile Accessories Sci-Tech Phones
The most feared online entities in the present day are trolls. Trolls, a fearsome bunch of fake or pseudo online profiles, tend to attack online users, mostly celebrities, sports person or political profiles using a wide range of methods. One of these methods is to post obscene or NSFW (Not Safe For Work) content on your profile or website where User Generated Content (USG) is allowed. This can create unnecessary attention and cause legal troubles for you too. The traditional way out is to get a moderator (or a team of them). Let all the USGs pass through this moderation system. This is a sustainable solution for a small platform. But if you are running a large scale app, say a publishing app where you publish one hundred stories a day, and the success of these stories depend on the user interaction with them, then this model of manual moderation becomes unsustainable. More the number of USGs, more is the turn-around time, larger the moderation team size. This results in escalating costs, for a purpose that’s not contributing to your business growth in any manner. That’s where Machine Learning could help. Machine Learning algorithms that can scan images and content for possible abusive or adult content is a better solution that manual moderation. Tech giants like Microsoft, Google, Amazon have a ready solution for this. These companies have created APIs which are commercially available for developers. You can incorporate these APIs in your application to weed out the filth served by the trolls. The different APIs available for this purpose are Microsoft moderation, Google Vision, AWS Rekognition & Clarifai. Dataturks have made a comparative study on using these APIs on one particular dataset to measure their efficiency. They used a YACVID dataset with 180 images, manually labelled 90 of these images as nude and the rest as non-nude. The dataset was then fed to the 4 APIs mentioned above, their efficiency was tested based on the following parameters. True Positive (TP): Given a safe photo, the API correctly says so False Positive (FP): Given an explicit photo but the API incorrectly classifies it as safe. False negative (FN): Given a safe photo but the API is not able to detect so and True negative(TN): Given an explicit photo and the API correctly says so. TP and TN are two cases which meant the system behaved correctly. An FP meant that the app was vulnerable to attacks from trolls, FN meant the efficiency of the systems were low and hence not practically viable. 10% of the cases would be such that the API can’t decide whether its explicit or not. Those would be sent for manual moderation. This would bring down the maintenance cost of the moderation team. The results that they received are shown below: Source: Dataturks As it is evident from the above table, the best standalone API is Google vision with a 99% accuracy and 94% recall value. Recall value implies that if the same images are repeated, it can recognize them with 94% precision. The best results however were received with the combination of Microsoft and Google. The comparison of the response times are mentioned below: Source: dataturks The response time might have been affected with the fact that all the images accessed by the APIs were stored in Amazon S3. Hence AWS API might have had an unfair advantage on the response time. The timings were noted for 180 image calls per API. The cost is the lowest for AWS Rekognition – $1 for 1000 calls to the API. It’s $1.2 for Clarifai, $1.5 for both Microsoft and Google. The one notable drawback of the Amazon API was that the images had to be stored as S3 objects, or converted into that. All the other APIs accepted any web links as possible source of images. What this study says is that the power of filtering out negative and explicit content in your app is much easier now. You might still have to have a small team of moderators, but their jobs will be made a lot easier with the ML models implemented in these APIs. Machine Learning is paving the way for us to be safe from the increasing menace of Trolls, a threat to free speech and open sharing of ideas which were the founding stones of internet and the world wide web as a whole. Will this discourage Trolls from continuing their slandering or will it create a counter system to bypass the APIs and checks? We can only know in time. Read Next Facebook launches a 6-part Machine Learning video series Google’s new facial recognition patent uses your social network to identify you! Microsoft’s Brad Smith calls for facial recognition technology to be regulated
Shadow Robots Company, experts at grasping and manipulation for robotic hands announced that they are joining a new space avatar program named AVATAR X. This program is led by ANA HOLDINGS INC. (ANA HD) and Japan Aerospace Exploration Agency (JAXA). AVATAR X aims to accelerate the integration of technologies such as robotics, haptics and Artificial Intelligence ( AI), to enable humans to remotely build camps on the Moon, support long-term space missions, and further explore space from Earth. In order to make this possible, Shadow will work closely with the programme’s partners, leveraging its unique teleoperation system that it has already developed and that is also available to purchase. AVATAR X is all set to be launched as a multi-phase programme. It aims to revolutionize space development and make living on the Moon, Mars and beyond, a reality. What will AVATAR X program include? AVATAR X program will comprise of clever elements including Shadow’s Dexterous Hand, which can be controlled by a CyberGlove worn by the operator. This hand will be attached to a UR10 robot arm controllable by a PhaseSpace motion capture tool worn on the operator’s wrist. Both the CyberGlove and Motion Capture wrist tool have mapping capability so that the Dexterous Hand and the robot arm can mimic an operator’s movements. The new system allows remote control of robotic technologies while providing distance and safety. Furthermore, Shadow uses an open source platform providing full access to the code to help users develop the software for their own specific needs. Shadow’s Managing Director, Rich Walker says “We’re really excited to be working with ANA HD and JAXA on the AVATAR X programme and it gives us the perfect opportunity to demonstrate how our robotics technology can be leveraged for avatar or teleoperation scenarios away from UK soil, deep into space. We want everyone to feel involved at such a transformative time in teleoperation capabilities and encourage all those interested to enter the AVATAR XPRIZE competition.” To know more about AVATAR X in detail, visit ANA Group’s press release. Read Next Four interesting Amazon patents in 2018 that use machine learning, AR, and robotics How Rolls Royce is applying AI and robotics for smart engine maintenance AI powered Robotics : Autonomous machines in the making