Smart home devices from companies such as Amazon and Google can be hacked and used to crash websites, steal data and snoop on users, an investigation reveals. Consumer group Which? has found poor security on eight smart devices, some of which are no longer supported with vital security updates due to their age. Examples include the first generation Amazon Echo smart speaker, released in 2014, and a Virgin Media internet router from 2017. All of the products had vulnerabilities that could leave users exposed to cybercriminals, Which? Domestic abuse survivors can also be tracked and controlled by ex-partners who exploit weak security on devices including Wi-Fi routers and security cameras.
Remember surround sound home theater & 3D TV? The promise was real but the technology was premature. Unlike my younger Millennial cohorts, I can remember a time before the Internet took off. Al Gore may have invented it (or not) before my lungs first cried "Hello, World!" but like all nascent technologies, the Internet took a while to develop & fan out. A few years before the awful sound of dial-up modems became commonplace, my first experience with this new thing called the Internet was at my mom's workplace - the local community college.
The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificial Intelligence (AI) have shown great potential to develop advanced mobile platforms with new imaging devices. Traditional imaging systems based on the "capturing images first and processing afterwards" mechanism cannot meet this unprecedented demand. Differently, Computational Imaging (CI) systems are designed to capture high-dimensional data in an encoded manner to provide more information for mobile vision systems.Thanks to AI, CI can now be used in real systems by integrating deep learning algorithms into the mobile vision platform to achieve the closed loop of intelligent acquisition, processing and decision making, thus leading to the next revolution of mobile vision.Starting from the history of mobile vision using digital cameras, this work first introduces the advances of CI in diverse applications and then conducts a comprehensive review of current research topics combining CI and AI. Motivated by the fact that most existing studies only loosely connect CI and AI (usually using AI to improve the performance of CI and only limited works have deeply connected them), in this work, we propose a framework to deeply integrate CI and AI by using the example of self-driving vehicles with high-speed communication, edge computing and traffic planning. Finally, we outlook the future of CI plus AI by investigating new materials, brain science and new computing techniques to shed light on new directions of mobile vision systems.
The icing on the cake is that the action takes place in the PUBG universe. Some of the most exciting inventions in TV will be in 2021. LG has hinted at ditching the E-Series OLED and bringing in Gallery Series. On the other hand, Samsung might unveil a rotating Sero TV. This year will be bigger and mightier with TV screens measuring above 75-inch becoming mainstream.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Most gadgets don't come with a user manual that spells out every single feature. We learn them by doing, when someone spills the beans, or asking, "How'd you do that?" For example, no one thinks to dive into a new router's settings.
Users install many apps on their smartphones, raising issues related to information overload for users and resource management for devices. Moreover, the recent increase in the use of personal assistants has made mobile devices even more pervasive in users' lives. This paper addresses two research problems that are vital for developing effective personal mobile assistants: target apps selection and recommendation. The former is the key component of a unified mobile search system: a system that addresses the users' information needs for all the apps installed on their devices with a unified mode of access. The latter, instead, predicts the next apps that the users would want to launch. Here we focus on context-aware models to leverage the rich contextual information available to mobile devices. We design an in situ study to collect thousands of mobile queries enriched with mobile sensor data (now publicly available for research purposes). With the aid of this dataset, we study the user behavior in the context of these tasks and propose a family of context-aware neural models that take into account the sequential, temporal, and personal behavior of users. We study several state-of-the-art models and show that the proposed models significantly outperform the baselines.
The newest Roku products include a streaming device promising improved video delivery throughout the home, a smaller soundbar that also streams, and an updated mobile app for viewing on the go. The nation's leading streaming platform, Roku said it had about 43 million monthly active accounts at the end of June 2020. Research firm eMarketer estimates Roku captures about 33% of U.S. internet users and 47% of connected TV users. Roku's lineup of devices includes the Roku Express ($29.99) and Roku Streaming Stick ($49.99). But its marquee standalone player – it also markets Roku TVs with built-in streaming capability – is the Roku Ultra ($99.99).