VA2CS, the European leader in AI-Powered Fall Detection and Prevention, is launching its product at GSA 2019! The solution is already deployed in 2,700 rooms in 6 European countries. Artificial Intelligence uses visual and infrared sensors to automatically detect when a person is falling and trigger alarm to care-givers. A short recording of the fall allows care-givers to understand the reasons for the fall and to take corrective actions. "Most existing solutions based on a press-button pendant or watch are not reliable; people just don't wear them or forget to press the button when the fall happens," says Ramzi Larbi, VA2CS CEO.

There's been a turbulence in the Star Wars franchise recently – and that's a good thing. First, there was the arrival of "The Mandalorian" on the Disney streaming service, which became operational earlier this week. All this action comes ahead of "Star Wars: The Rise of Skywalker" (in theaters Dec. 20), the ninth and last film in that saga. But these two recent entries focus on the past. "The Mandalorian" takes place after about five years after Luke Skywalker, Princess Leia, Han Solo and the rebels overthrew the Empire in 1983's "Star Wars: Return of the Jedi."

Deep Neural Networks (DNNs) are susceptible to model stealing attacks, which allows a data-limited adversary with no knowledge of the training dataset to clone the functionality of a target model, just by using black-box query access. Such attacks are typically carried out by querying the target model using inputs that are synthetically generated or sampled from a surrogate dataset to construct a labeled dataset. The adversary can use this labeled dataset to train a clone model, which achieves a classification accuracy comparable to that of the target model. We propose "Adaptive Misinformation" to defend against such model stealing attacks. We identify that all existing model stealing attacks invariably query the target model with Out-Of-Distribution (OOD) inputs. By selectively sending incorrect predictions for OOD queries, our defense substantially degrades the accuracy of the attacker's clone model (by up to 40%), while minimally impacting the accuracy (<0.5%) for benign users. Compared to existing defenses, our defense has a significantly better security vs accuracy trade-off and incurs minimal computational overhead.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is implementing its Avant! AI technology within Epsilon EDA (Electronic Design Automation) program with the goal of achieving increased reliability for microchips. AI will be trained with IC (Integrated Circuit) reliability models, based on physics-of-failure mechanisms. These models will be classified for a wide variety of microchips types, among them microcontrollers, microprocessors, memories, power ICs and others.

Coral reefs are among nature's most complex and colourful living formations. But as any underwater photographer knows, pictures of them taken without artificial lights often come out bland and blue. Even shallow water selectively absorbs and scatters light at different wavelengths, making certain features hard to see and washing out colours--especially reds and yellows. This effect makes it difficult for coral scientists to use computer vision and machine-learning algorithms to identify, count and classify species in underwater images; they have to rely on time-consuming human evaluation instead. But a new algorithm called Sea-thru, developed by engineer and oceanographer Derya Akkaynak, removes the visual distortion caused by water from an image. The effects could be far-reaching for biologists who need to see true colors underneath the surface.

Interest in Artificial Intelligence (AI) has skyrocketed in recent years, both among the media and the general public. At the same time, media coverage of AI has wildly varied in quality – at one end, tabloid and clickbait media outlets have produced outrageously inaccurate portrayals of AI that reflect science fiction more than reality. At the other end, news outlets such as The New York Times or Wired have had specialized reporters such as Cade Metz and Tom Simonite who consistently write well-researched and accurate portrayals of AI. As AI researchers, we are both invested and sensitive to how AI is portrayed in the media. In this article, we suggest a list of best practices for media coverage of AI, some of which may not be obvious to people without a technical background in AI. In being a set of best practices, this list will not be representative of what even we as researchers always do, but rather principles to keep in mind and try to stick to (and ignore as needbe according to good judgement).

Augmented reality and artificial intelligence aren't just for B2C marketers anymore, and as we move into 2020 we're likely to see a new decade of B2B that keeps moving farther away from "Boring-To-Boring" and towards more to B2C-like experiences. AR and AI are a key part of what consumers increasingly expect to find in those experiences. The swiftly rising number of mixed-reality consumer app installations is expected to jump from 3 billion to 10 billion by 2024, with associated ad spending forecast to climb from $2 billion in 2019 to $11 billion, according to new Juniper Research data. While AR and AI in consumer-facing efforts keeps expanding with a full head of steam, such as Warner Bros. first-ever embedded AR for its upcoming "Scoob!" film trailer and mobile app, many in the B2B landscape have scarcely begun to tap into the AI-infused technology available. Let's take a look at five B2B brands that are innovating with a variety of AR and AI marketing initiatives.

A new survey from Gould Finch finds that AI is poised to become the "essential key to success for the publishing industry," according to Colin Lovrinovic, managing director, Gould Finch. The in-depth, six-month survey brought back perspectives from 233 participants in publishing, who hailed from 17 countries. One of the report's top conclusions: Large, medium and small-sized publishers are all seeing spikes in readership with the introduction of AI tools. Specifically, the news organization's Web site will rely on'semi-automated journalism' to produce election results coverage in English for 650 UK constituencies. Another 40 stories will be AI-generated in Welsh.

Star Wars video game fans have waited impatiently – for almost a decade – for a romp through their favourite galaxy in the best traditions of the action-adventure game. Out of mercy (for I, too, am a fanatic), I'll cut to the chase: Star Wars Jedi: Fallen Order does indeed deliver on that. Hitting all the right notes – and not just with the fluttering woodwind and heavy brass of the John Williams-styled orchestra – Fallen Order is right on brand. It has the ancient ruins of mystical past civilisations seamlessly blended with the crashed hulks of light-speeding starships; the militaristic, sterile, black and red halls of the Empire, with rapidly sliding doors that open on to lush landscapes. Each planet – but especially the freezing, windswept stone villages of Zeffo that are overrun by stormtroopers – could be a Star Wars movie set.

Reuters, the world's largest multimedia news provider, announced today that it has joined the newly launched AWS Data Exchange to provide access to trusted news and data to Amazon Web Services (AWS) customers. Even more enterprises will now have quick access to Reuters trusted, independent and impartial news content and data, which are produced by 2,500 journalists in more than 200 locations globally, to power their artificial intelligence (AI) applications. "Reuters is constantly seeking new ways to broaden the reach of our independent, trusted and unbiased news content and data. We are excited to be among the first providers of such content in AWS Data Exchange, where our multi-language news data will be made available to a diverse range of AWS customers around the globe," said Alphonse Hardel, Global Head of Business Development and Strategy, Reuters at Thomson Reuters. "With the increasing demand across industries in using news content to train and power their mission critical AI and analytics applications on the cloud, the depth and accuracy of Reuters coverage means AWS customers are now able to seamlessly access the highest quality of data from AWS Data Exchange," added Hardel.