Sony patents new motion sensing controller that hints at new PlayStation VR headset

Daily Mail - Science & tech

This month, Sony filed a new patent for a virtual reality game controller that will support motion controls and have sensors that can automatically detect the player's finger position when they grip it. The patent doesn't indicate what game console or device it's intended to work with, but says only that it will work with a'home-use game machine' that'detects movement of a user's hand.' The large candy bar-shaped device will have a thin strip on the back that will be used to detect exact finger position. A patent filed in Japan shows a possible new design for Sony's next VR motion controller, with a sensor strip that tracks individual finger movement and position The patent, which was published in Japanese and roughly translated by Google, says the sensors will not just detect finger position but the'bending and stretching of each finger,' suggesting it might let game designers use specific finger movements as a way to control a game. The front of the controller has a traditional joystick surrounded by four face buttons, according to a report on Upload VR.


Novel privacy tool erases humans from live video feeds in real-time to hide you from webcam spies

Daily Mail - Science & tech

A new software solution may put an end to obscuring your laptop's built-in camera with tape. A YouTube video posted by Jason Mayes, a Google Web Engineer, shows off an algorithm that eliminates humans from a webcam feed in real-time, leaving only the background in tact. The tool, highlighted by Gizmodo, is made using Javascript and TensorFlow, a machine learning platform that lets users leverage Google's neural networks, and can delete a human from a shot automatically in real-time. As noted by Gizmodo and corroborated by Mayes' video demonstration of the software, the tool isn't exactly perfect yet. As he walks throughout the frame, it leaves bits and pieces of his presence - mostly just stray pixels - scattered throughout the image.


Incredible footage of 1911 New York City is colorized by artificial intelligence in high resolution

Daily Mail - Science & tech

The 1911 video entitled'A Trip Through New York City' has been brought back to life more than a hundred years later by artificial intelligence. Shot by a Swedish film production company, the black and white footage has be restored with neural networks to create a colorized, sharper version of the black and white movie. The eight-minute clip transports viewers back in time to the Statue of Liberty, Battery Park, the New York Harbor and the famous Flatiron Building on Fifth Avenue. YouTuber Denis Shiryaev posted the new video on his site which is now in 4K quality at 60 frames per second. This'upscaled' footage was created using neural network-powered algorithms such as Topaz Labs' Gigapixel AI and DAIN.


Architecture as a Graph

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The Bayesian approach used in this article demonstrates the relevance of stochasticity for the design process. On one hand, statistical inference allows us to model and replicate complicated phenomena and here, complexity found among floorplans. On the other hand, it allows us to generate a wide variety of options, that will inspire the creative process. At the same time, we provide evidence for the importance of unpacking design into nested steps and levels of abstraction. We have addressed here the underlying structure of floorplans by tackling their adjacency.


Win Earnings Season with an Alert-Driven, AI-Powered Workflow

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We all know that earnings season is the busiest time of the year, yet how much thought have you given to the impact advanced tools can have on managing information overload and improving your workflow? Whether you are an investment analyst, investor relations officer, or other financial and corporate research professional, automating your earnings season research process with an alert-driven, AI-powered workflow can save you a significant amount of time and ensure no material insights are missed. We've put together a series of short videos to show you how Sentieo can be used to: In this first video, we discuss why you need watchlists for your alerts. While you can configure individual alerts by company, having a watchlist lets you do several things on the Sentieo platform. One is set up the same alerts for the whole list at once.


Cisco IoT Platform Gains Machine Learning - SDxCentral

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Cisco today introduced machine learning capabilities and tighter integration between service providers and vendors in its IoT management platform. Cisco IoT Control Center now includes machine learning models to identify anomalies and resolve problems before they impact IoT services. The feature also enables service providers to alert customers of errant or otherwise unused devices, and therefore implement greater control over connected devices. Cisco's IoT platform is largely the result of its $1.4 billion acquisition of Jasper in 2016, but the effort has grown considerably during the last four years. Cisco has partnerships and IoT management reselling agreements with 52 network operators and claims to be the No. 1 IoT management platform provider for connected cars.


Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential

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Artificial intelligence just might be the next major technologic breakthrough to affect health care delivery, with seemingly endless possibilities for the improvement of patient care and optimization of the health care system overall.1 Simply defined, artificial intelligence is a field of computer science focused on enabling computers to complete tasks or generate knowledge that, in the traditional sense, would typically require human intelligence. Within the topic of artificial intelligence, there are the fields of machine learning and deep learning.


How Machine Learning and AI Will Impact Engineering

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No matter whether you have adopted machine learning technologies and in the grander picture, artificial intelligence, most engineers recognize that a change is coming. It would seem a natural fit to incorporate artificial intelligence into CAD, into our workflows, into our engineering. This not only facilitates our forward growth as engineers, but it gives us the ability to design with complexities never before possible. Remaining at the top of our engineering game is no easy task when the game is constantly innovating with new technologies. To remain relevant as engineers, we must understand – even predict – how machine learning and AI will change the game and adapt before we are left in the dust. AI is the next platform.


Self-driving car companies complain California test data may mislead - Reuters

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Companies such as General Motors Co's (GM.N) Cruise and startup Aurora have said the metric, called disengagements, is not an accurate or relevant way to measure their technical progress, even though it is widely used to do just that. The debate is taking on more importance amid delays in the rollout of self-driving vehicles and concerns over a lack of regulation and the prospects for profitability for the companies that make such vehicles. The focus on disengagements -- when a human driver must take manual control from a self-driving system -- and the backlash from self-driving companies have been growing since the California Department of Motor Vehicles began releasing annual disengagement reports five years ago. California requires all companies testing self-driving vehicles on public roads to submit an annual report on disengagements and what caused them, "written in plain language." In 2018, the companies with the most miles between disengagements were Alphabet Inc's (GOOGL.O) Waymo and Cruise.


The Future of Minds and Machines: How artificial intelligence can enhance collective intelligence

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When it comes to artificial intelligence (AI), the dominant media narratives often end up taking one of two opposing stances: AI is the saviour or the villain. Whether it is presented as the technology responsible for killer robots and mass job displacement or the one curing all disease and halting the climate crisis, it seems clear that AI will be a defining feature of our future society. However, these visions leave little room for nuance and informed public debate. They also help propel the typical trajectory followed by emerging technologies; with inevitable regularity we observe the ascent of new technologies to the peak of inflated expectations they will not be able to fulfil, before dooming them to a period languishing in the trough of disillusionment.[1] There is an alternative vision for the future of AI development.