Networks


Bracing For IoT In The Enterprise

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If you thought the bring-your-own-device (BYOD) experience was a challenge for companies, brace yourself. The mid-2000s brought waves of heterogeneous, non-sanctioned devices into the network. By 2009, workers had made it clear that they preferred BYOD, as CIOs began feeling the pressure of personal devices flooding the workplace. The result has been the creation of so-called "shadow IT" -- projects (applications and systems) managed outside of, and without the knowledge of, the IT department. The BYOD phenomenon went hand in hand with the adoption of non-sanctioned, cloud-based software as a service (SaaS) applications to address a line of business needs.


The Benefits of AI and Machine Learning in Network Monitoring

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Artificial intelligence – also commonly known as AI – has revolutionized the technology world. Companies both inside and outside the tech circle are introducing AI into their work suite. AI takes the basic principles of computing and processing and applies intelligent environment analysis on top of it. For industries, AI analyzes the data they generate and provides them with insights based on its findings. AI can also apply machine learning to examine historical data in order to perform tasks without human input.


RFID tags help robots locate and grab moving objects in milliseconds

ZDNet

A group of researchers at the Massachusetts Institute of Technology (MIT) have developed a system that uses radio-frequency identification (RFID) tags to locate moving, tagged objects within milliseconds. The system, called TurboTrack, could improve the efficiency of robots working on manufacturing, as well as carrying out drone search-and-rescue missions, with the the system being able to locate objects within 7.5 milliseconds on average and with errors of less than 1 centimetre. TurboTrack uses a reader to send wireless signals to RFID tags that can be applied to any object, which is then rebounded back to the reader. The system uses a "space-time super-resolution" algorithm, MIT says, which sifts through the reflected signals to locate the RFID tag's response. "As the tag moves, its signal angle slightly alters -- a change that also corresponds to a certain location ... by constantly comparing that changing distance measurement to all other distance measurements from other signals, it can find the tag in a three-dimensional space. This all happens in a fraction of a second," MIT said.


MIT developed a new system to help robots track objects

Engadget

Researchers at the Massachusetts Institute of Technology have developed a new system that will either improve the quality and accuracy of robotics or lead to humanity's inevitable demise at the hands of mechanical overlords. Using RFID tags, the researchers were able to make robots more efficient and accurate when tracking moving objects. The development carries major implications for the future of drones, manufacturing robots and many other applications. The system, which will be presented in a paper at the USENIX Symposium on Networked Systems Design and Implementation, is surprisingly simple and novel. RFID tags are applied to an object and provides a signal that gives a robot a more precise idea of where its target is.


MEMS and Smart Dust: The Big Potential of a Tiny Future – Northrop Grumman

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The future is fantastically small. Driven by improvements in 3D printing and the rise of atom-level materials engineering, microelectromechanical systems (MEMS) are quickly going mainstream as researchers and enterprises alike find use for these devices across the Internet of Things (IoT). Called "smart dust" when applied at scale, legions of tiny MEMS now offer the potential to advance everything from manufacturing and communications to data collection and health care. What exactly is a MEMS? Tech Target described it as a "miniature machine that has both mechanical and electronic components."


How AI can help solve some of humanity's greatest challenges – and why we might fail

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In 2015, all 193 member countries of the United Nations ratified the 2030 "Sustainable Development Goals" (SDG): a call to action to "end poverty, protect the planet and ensure that all people enjoy peace and prosperity." The 17 goals – shown in the chart below – are measured against 169 targets, set on a purposefully aggressive timeline. The first of these targets, for example, is: "by 2030, [to] eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a day". The UN emphasizes that Science, Technology and Innovation (STI) will be critical in the pursuit of these ambitious targets. Rapid advances in technologies which have only really emerged in the past decade – such as the internet of things (IoT), blockchain, and advanced network connectivity – have exciting SDG applications.


From Echo to Ring doorbell and Fire TV, are you comfortable Amazon with controlling your smart home?

USATODAY

A link has been posted to your Facebook feed. Amazon acquired another startup this week, the maker of the beloved tech product Eero, a mesh router that improves dead Wi-Fi spots in the home. To that, you might have said, OK, so? But, more importantly, it's an indication of how Amazon wants to go further than just making our homes "smart." It wants to turn our dwellings into the "Amazon Home."


Hong Kong is testing high-tech monitoring systems for 'smart' prisons

Engadget

Prisons in Hong Kong are testing a variety of high-tech services that will allow correctional facilities to better track inmates, according to the South China Morning Post. The city's Commissioner of Correctional Services, Danny Woo Ying-min, claimed the new services will be used to monitor for abnormal behavior among the incarcerated, prevent self-harm, and operate the prisons more efficiently. The "smart prison" initiative includes strapping inmates with fitness tracker-style wristbands that monitor location and activity, including heart rate. Some facilities will also start to use video surveillance systems that can identify any unusual behavior, fights and attempts to inflict harm on one's self. Correctional Services is also testing robots that will be used to search for drugs in feces from inmates.


Nokia plugs AI to get MWC ball rolling

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Nokia has announced the launch of its network of Cognitive Collaboration Hubs which will aim to bring telcos and enterprise into its realm to work on a series of AI usecases. Fitting very well into Mobile World Congress' 'Intelligent Connectivity' theme, the network based on a similar Cloud Collaboration Hubs, focusing on developing cloud-based capabilities. While artificial intelligence has been praised as one of the saviours of connectivity and a justification for 5G, the usecases are relatively simplistic, this initiative will aim to correct this. "Network operators are eager to deploy AI to improve network operations and strengthen customer relationships," said John Byrne, Nokia's Service Director for Telecom Technology & Software, Global Data. "Nokia's Cognitive Collaboration Hubs can help accelerate those plans by providing a space for operators, partners and enterprises to co-create new AI solutions utilizing a mix of data science and telco domain expertise."


GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN TELECOMMUNICATION MARKET FORECAST 2019-2027

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KEY FINDINGS The automated chatbots, personalized offers, and efficiently streamlined customer service processes can be managed to provide enhanced customer service by the telecommunication services if the Artificial Intelligence gets integrated with the former. By assimilating advanced technologies like Artificial Intelligence, machine learning, etc. and 5G system, the telecommunication operators, can enhance and implement realization of high levels of self-organization, intelligent management and fault-free networks that are much more reliable as compared to the earlier networks. Advantages like detection of flaws in the network, network security, network optimization & offer virtual assistance are influencing the global market for Artificial Intelligence in telecommunication to propel vigorously at a CAGR of 42.16% from 2019-2027, as estimated by Inkwood Research. Furthermore, the incorporation of artificial intelligence technologies with upcoming wireless networks is appraised to increase the demand & adoption of such artificial intelligence tools & services in the telecommunication sector. MARKET INSIGHTS The upsurge in mobile data traffic & smartphone users across the world and the integration of AI with newer wireless networks will necessarily drive the global AI in the telecom market.Concerns related to incompatibility, the unreliability of artificial intelligence algorithms, lack of skilled personnel & difficulties in the protection of confidential & private data are the primary challenges faced by the market players.