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Huawei wireless X Labs and MGI Sign MoU on the exploration of real-time wireless telemedicine

By News Aggregator

By Zenobia Hegde

At the 8th Global Mobile Broadband Forum, Huawei Wireless X Labs and MGI signed a memorandum of understanding (MoU) on wireless telemedicine.In 2018, the two parties will work together to provide wireless remote ultrasonic diagnosis applications based on Huawei’s wireless connection technologies and MGI’s remote ultrasonic diagnosis system. It will be the industry’s first use of mobile network technologies in real-time operation applications for telemedicine.

Healthcare resources are becoming an increasingly serious issue worldwide. There are even less healthcare resources in remote or hard to access areas, such as plateaus, distant frontiers, disaster-stricken areas, or on the open sea. Telemedicine can eliminate geographical limitations. Doctors and patients no longer need to be in the same room. Patients can spend less time and money traveling to access medical care, and the medical experts can work more efficiently.

The telemedicine applications related to remote real-time operations, such as remote ultrasonic detection or remote surgery, are difficult to implement due to their requirements for high bandwidth and low latency. For example, the movements of the doctor’s hands, the image transmission, and the force feedback must be tightly synchronised, which is hard to realise under the current network conditions.

To resolve this issue, Huawei Wireless X Labs and MGI will use 4.5G and 5G network technologies to provide data connections for remote ultrasonic robots. This will enable doctors to control ultrasonic probes on the patient side for diagnosis. 4.5G and 5G network provide plenty of bandwidth.

They can provide dozens of megabits per second for onsite audio, video, and B-mode ultrasonic examination images. The low latency boasted by 4.5G and 5G networks ensures that the force feedback from patient sensors transmitted to their doctor’s touch sensitive devices in just milliseconds. With 4.5G and 5G networks, ultrasonic images can be transmitted to the cloud for real-time analysis to assist with diagnosis at multiple levels.

Speaking of the cooperation, Zhou Yuefeng, CMO of Huawei Wireless Network Product Line, remarked, “Innovations in wireless communications technologies create new possibilities for the healthcare industry. Wireless X Labs will join hands with industry partners to innovate together and to accelerate the digital transformation of the entire healthcare industry”.

Liu Jian, vice president of MGI, said, “MGI’s newly released remote ultrasonic diagnosis system breaks through the boundaries presented by traditional ultrasonic diagnosis, and saves both time and space. We will work with Huawei and other partners to help balance healthcare resources and integrate genetic data with image data, bringing high-quality, precision healthcare services to everyone”.

The 2017 Global Mobile Broadband Forum was held in London on November 15th and 16th, 2017. For more details, please click here

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Huawei and University of Edinburgh to research potential of AI robotics systems operating over 5G networks

By Zenobia Hegde

At the 2017 Global Mobile Broadband Forum, Huawei and the University of Edinburgh signed a research cooperation to investigate the potential for AI robotics systems to operate over next generation 5G wireless networks.

Researchers at Huawei’s Wireless X Labs and University of Edinburgh’s new Bayes Centre will investigate together how AI systems can inform and adapt wireless 5G networks to provide optimum wireless support to meet the needs of connected robotics and systems. Areas of initial focus include healthcare robotics and mobile video.

The project will build on the University of Edinburgh’s existing research into AI and autonomous systems to provide new insights into how these systems will use AI to collaborate with mobile broadband networks. This can enhance the performance of both networks and applications to enable greater levels of interaction between people and systems. This new research project extends the existing relationship between Huawei and the University of Edinburgh following the announcement in June of a joint lab hosted at the University of Edinburgh’s School of Informatics.

This new research cooperation was signed by Peter Zhou, Chief Marketing Officer, Huawei Wireless Solution, and Professor Charlie Jeffery, Senior Vice Principal, University of Edinburgh.

This new research cooperation was signed by Peter Zhou, chief marketing officer, Huawei Wireless Solution, and professor Charlie Jeffery, senior vice principal, University of Edinburgh. Also in attendance were professor Jon Oberlander, assistant principal data technology, who has joined the Advisory Committee of Huawei’s Wireless X Labs, and Mr. David Richardson, director of Partnerships for the Bayes Centre.

Professor Charlie Jeffery said, “We are thrilled to have deepened our relationship with Huawei to researching 5G within AI applications. Our ambition is to utilise the knowledge of our world-leading experts to fully understand the interaction of AI and robotics systems with mobile networks. This new research agreement gives our team the opportunity to apply their 5G networking expertise into solving real-world problems – helping to transform industries including healthcare and emergency services.”

Peter Zhou at Huawei said: “We are delighted to continue working with the world-leading team at the University of Edinburgh to help understand how improvements within mobile broadband can foster innovation within wireless robotics systems. AI is a key feature of 5G networking, and we are excited to deepen our understanding of how the interaction between applications and networks can create new benefits and enhancements.”

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Huawei and University of Edinburgh to research potential of AI robotics systems operating over 5G networks

By News Aggregator

By Zenobia Hegde

At the 2017 Global Mobile Broadband Forum, Huawei and the University of Edinburgh signed a research cooperation to investigate the potential for AI robotics systems to operate over next generation 5G wireless networks.

Researchers at Huawei’s Wireless X Labs and University of Edinburgh’s new Bayes Centre will investigate together how AI systems can inform and adapt wireless 5G networks to provide optimum wireless support to meet the needs of connected robotics and systems. Areas of initial focus include healthcare robotics and mobile video.

The project will build on the University of Edinburgh’s existing research into AI and autonomous systems to provide new insights into how these systems will use AI to collaborate with mobile broadband networks. This can enhance the performance of both networks and applications to enable greater levels of interaction between people and systems. This new research project extends the existing relationship between Huawei and the University of Edinburgh following the announcement in June of a joint lab hosted at the University of Edinburgh’s School of Informatics.

This new research cooperation was signed by Peter Zhou, Chief Marketing Officer, Huawei Wireless Solution, and Professor Charlie Jeffery, Senior Vice Principal, University of Edinburgh.

This new research cooperation was signed by Peter Zhou, chief marketing officer, Huawei Wireless Solution, and professor Charlie Jeffery, senior vice principal, University of Edinburgh. Also in attendance were professor Jon Oberlander, assistant principal data technology, who has joined the Advisory Committee of Huawei’s Wireless X Labs, and Mr. David Richardson, director of Partnerships for the Bayes Centre.

Professor Charlie Jeffery said, “We are thrilled to have deepened our relationship with Huawei to researching 5G within AI applications. Our ambition is to utilise the knowledge of our world-leading experts to fully understand the interaction of AI and robotics systems with mobile networks. This new research agreement gives our team the opportunity to apply their 5G networking expertise into solving real-world problems – helping to transform industries including healthcare and emergency services.”

Peter Zhou at Huawei said: “We are delighted to continue working with the world-leading team at the University of Edinburgh to help understand how improvements within mobile broadband can foster innovation within wireless robotics systems. AI is a key feature of 5G networking, and we are excited to deepen our understanding of how the interaction between applications and networks can create new benefits and enhancements.”

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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Global study reveals IoT adoption is at 69% despite security concerns

By Zenobia Hegde

Cradlepoint announced the release of a new Cradlepoint Business Intelligence Report, “The State of IoT 2017-2018”, which reveals the current IT practices, perceptions and future plans surrounding global Internet of Things (IoT) deployments. The findings of the underlying study revealed that even though over 69% of organisations have adopted, or plan to adopt, IoT solutions within the next year, 40% of companies have serious concerns around cybersecurity.

Conducted by Spiceworks, the study surveyed 400 IT professionals in the U.S., Canada and the UK at companies with at least 500 employees across 22 industries. Respondents are all involved with IoT strategies and decisions at their organisations.

While cybersecurity remains the top concern (40%), it is a desire for increased physical security that is the top driver for IoT adoption (32%), followed by improved operational processes (23%), reduced operational costs (21%) and simplified management (20%). Approximately 71% of respondents who already use IoT technologies say they’re using it for building security, often through security cameras.

Recent botnet attacks have infected millions of IoT devices. However, despite the growing security threat associated with IoT, the research shows that about half of the organisations surveyed are deploying IoT solutions on their existing enterprise network and 57% prefer to manage their own IoT device security.

“Following the spread of IoT botnets like Reaper and Mirai, which infected millions of internet-connected security cameras, routers, and digital video recorders, it’s evident that insecure IoT devices, even connected security devices, are putting organisations more at risk,” said Peter Tsai, senior technology analyst at Spiceworks.

“Before deploying network-connected devices that create more entry points for hackers to exploit, organisations should vet the security of all IoT devices they plan to introduce and ensure their company can adequately protect these devices from potential threats.”

“Our new ‘State of IoT’ report highlights a looming issue within commercial IoT deployments – cross-contamination. Companies that deploy IoT devices on their existing enterprise networks are significantly expanding their attack surface and creating new vulnerabilities to IoT-specific threats that traditional security tools are not equipped to handle,” said Ken Hosac, vice president of IoT business development at Cradlepoint.

“The good news, however, is that companies can leverage software-defined perimeter technology to spin-up virtual overlay networks, without trained specialists, that isolate IoT devices from existing networks—and other IoT devices, control access and shield them from being Internet-addressable.”

Additional resources can be found here.

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Global study reveals IoT adoption is at 69% despite security concerns

By News Aggregator

By Zenobia Hegde

Cradlepoint announced the release of a new Cradlepoint Business Intelligence Report, “The State of IoT 2017-2018”, which reveals the current IT practices, perceptions and future plans surrounding global Internet of Things (IoT) deployments. The findings of the underlying study revealed that even though over 69% of organisations have adopted, or plan to adopt, IoT solutions within the next year, 40% of companies have serious concerns around cybersecurity.

Conducted by Spiceworks, the study surveyed 400 IT professionals in the U.S., Canada and the UK at companies with at least 500 employees across 22 industries. Respondents are all involved with IoT strategies and decisions at their organisations.

While cybersecurity remains the top concern (40%), it is a desire for increased physical security that is the top driver for IoT adoption (32%), followed by improved operational processes (23%), reduced operational costs (21%) and simplified management (20%). Approximately 71% of respondents who already use IoT technologies say they’re using it for building security, often through security cameras.

Recent botnet attacks have infected millions of IoT devices. However, despite the growing security threat associated with IoT, the research shows that about half of the organisations surveyed are deploying IoT solutions on their existing enterprise network and 57% prefer to manage their own IoT device security.

“Following the spread of IoT botnets like Reaper and Mirai, which infected millions of internet-connected security cameras, routers, and digital video recorders, it’s evident that insecure IoT devices, even connected security devices, are putting organisations more at risk,” said Peter Tsai, senior technology analyst at Spiceworks.

“Before deploying network-connected devices that create more entry points for hackers to exploit, organisations should vet the security of all IoT devices they plan to introduce and ensure their company can adequately protect these devices from potential threats.”

“Our new ‘State of IoT’ report highlights a looming issue within commercial IoT deployments – cross-contamination. Companies that deploy IoT devices on their existing enterprise networks are significantly expanding their attack surface and creating new vulnerabilities to IoT-specific threats that traditional security tools are not equipped to handle,” said Ken Hosac, vice president of IoT business development at Cradlepoint.

“The good news, however, is that companies can leverage software-defined perimeter technology to spin-up virtual overlay networks, without trained specialists, that isolate IoT devices from existing networks—and other IoT devices, control access and shield them from being Internet-addressable.”

Additional resources can be found here.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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Context researchers help Which? campaign to call time on insecure connected toys

By Zenobia Hegde

The independent consumer body Which? called for all insecure connected toys to be removed from sale immediately. In its statement, Which? expresses its frustration with toy manufacturers that have failed to address vulnerabilities highlighted by researchers, in internet or Bluetooth connected products and believe that enough is enough.

As part of its campaign, Which? has also approached all the major toy retailers and shared its concerns with the UK Government and bodies such as CEOP (Child Exploitation and Online Protection) and the NCSC (National Cyber Security Centre).

Research partner Context Information Security has been working with the team at Which? to help provide evidence and demonstrate how easy it is with the right skills to hack into off-the-shelf children’s toys. As part of this work, Context researchers looked at the security of Hasbro’s popular Furby Connect, a furry, robotic creature with expressive LCD eyes that can speak, sing, dance and connect via Bluetooth to the Furby World smartphone game.

Alex Neill

Like many other consumer smart devices and toys that use Bluetooth Low Energy, Context found that the Furby does not implement any of the standard Bluetooth security features and does not use authenticated pairing or link encryption. As a result, anyone in wireless range of the Furby can connect to it while in use and send control commands without any physical interaction.

Building upon existing research carried out by researcher Florian Euchner who was able to upload custom audio clips to the toy, the Context researchers fully reverse-engineered files used by Furby, which include programmable action sequences, lip movements and animation commands. This made it possible to display custom graphics and animations on Furby’s LCD eyes.

Context also found that Furby firmware updates appear not to require to be signed by the manufacturer. This means that maliciously installed firmware could potentially gain access to the toy’s microphone, turning the toy into a remote listening device, for example.

“It’s not a trivial matter to find and exploit toys such as Furby Connect, but we believe that basic security measures should be standard in all connected consumer devices,” said Paul Stone, lead security consultant at Context Information Security. “Toys that allow remote unauthenticated upload and playback of audio or video should be of particular concern to parents.”

“Safety and security should be the absolute priority with any toy. If that can’t be guaranteed, then the products should not be sold,” said Alex Neill, Which? managing director of Home Products and Services.

Context will publish a video and more technical details of its research on the Furby Connect later this week.

For full Which? statement, click here.

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Context researchers help Which? campaign to call time on insecure connected toys

By News Aggregator

By Zenobia Hegde

The independent consumer body Which? called for all insecure connected toys to be removed from sale immediately. In its statement, Which? expresses its frustration with toy manufacturers that have failed to address vulnerabilities highlighted by researchers, in internet or Bluetooth connected products and believe that enough is enough.

As part of its campaign, Which? has also approached all the major toy retailers and shared its concerns with the UK Government and bodies such as CEOP (Child Exploitation and Online Protection) and the NCSC (National Cyber Security Centre).

Research partner Context Information Security has been working with the team at Which? to help provide evidence and demonstrate how easy it is with the right skills to hack into off-the-shelf children’s toys. As part of this work, Context researchers looked at the security of Hasbro’s popular Furby Connect, a furry, robotic creature with expressive LCD eyes that can speak, sing, dance and connect via Bluetooth to the Furby World smartphone game.

Alex Neill

Like many other consumer smart devices and toys that use Bluetooth Low Energy, Context found that the Furby does not implement any of the standard Bluetooth security features and does not use authenticated pairing or link encryption. As a result, anyone in wireless range of the Furby can connect to it while in use and send control commands without any physical interaction.

Building upon existing research carried out by researcher Florian Euchner who was able to upload custom audio clips to the toy, the Context researchers fully reverse-engineered files used by Furby, which include programmable action sequences, lip movements and animation commands. This made it possible to display custom graphics and animations on Furby’s LCD eyes.

Context also found that Furby firmware updates appear not to require to be signed by the manufacturer. This means that maliciously installed firmware could potentially gain access to the toy’s microphone, turning the toy into a remote listening device, for example.

“It’s not a trivial matter to find and exploit toys such as Furby Connect, but we believe that basic security measures should be standard in all connected consumer devices,” said Paul Stone, lead security consultant at Context Information Security. “Toys that allow remote unauthenticated upload and playback of audio or video should be of particular concern to parents.”

“Safety and security should be the absolute priority with any toy. If that can’t be guaranteed, then the products should not be sold,” said Alex Neill, Which? managing director of Home Products and Services.

Context will publish a video and more technical details of its research on the Furby Connect later this week.

For full Which? statement, click here.

Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow

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AT&T, Tech Mahindra collaborate on new open source AI platform

By Zenobia Hedge

AT&T and Tech Mahindra are collaborating to build an open source Artificial Intelligence (AI) platform called Acumos, which will make it easy to build, share and deploy AI applications. The platform, hosted by The Linux Foundation, will provide a marketplace for accessing, using and enhancing the applications.

AT&T contends that the industry needs a way to make AI apps reusable and accessible outside the company that created them, and simplify deployments to lower the barrier to entry so that operators can keep up with customer demand.

A press release from AT&T describes Acumos as an extensible framework for machine learning solutions, which provides the capability to edit, integrate, compose, package, train and deploy AI microservices. In short, it’s an AI marketplace where applications can be chained together to create complex services, says Dawn Bushaus, managing editor at TM Forum.

The company gives an example of someone who wants to create an AI application for video analytics.

“The Acumos platform gives them a variety of applications to choose from, like location tracking and facial recognition. The simple platform interface lets you choose AI capabilities and stitch them together automatically so they function as a single application.

In this case, the new service could identify where the video was shot based on background landmarks, and identify the speakers in it – design and deploy in a single interface and with minimal additional code development. Content curation, autonomous cars, drones, and augmented reality/virtual reality are other areas where AI models could be used with the Acumos platform.”

Mazin Gilbert, vice president of Advanced Technology at AT&T Labs, is quoted as saying: “Our goal with open sourcing the Acumos platform is to make building and deploying AI applications as easy as creating a website. We’re collaborating with Tech Mahindra to establish an industry standard for AI in the networking space. We invite others to join us to create a global harmonisation in AI and set the stage for all future AI network applications and services.

“We’re opening up AI. We’re focusing on the telecommunication, media and technology spaces, starting with the network. The platform will be available to anyone and the more users who adopt it, the better it will get.”

Acumos is powered by AT&T Indigo, the company’s next-generation platform for delivering a seamless network experience. Tech Mahindra is looking to make AI simpler to improve adoption, according to Raman Abrol, senior vice president & Strategic Business Unit head at Tech Mahindra.

Dawn Bushaus

“In collaboration with AT&T, we will help enable enterprises apply AI to re-imagine business models, unlock the potential of data and drive business outcomes,” he said. “Our ultimate goal with the Acumos Project is to accelerate and industrialise the deployment of AI at enterprises and get developers and businesses to collaborate effectively in order to improve how we all live, work and play.”

This isn’t the first time AT&T has used this model of moving its own technology into the open source community. The company contributed its ECOMP system (Enhanced Control, Orchestration, Management and Policy) to open source earlier this year and then used it to […]

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AT&T, Tech Mahindra collaborate on new open source AI platform

By News Aggregator

By Zenobia Hedge

AT&T and Tech Mahindra are collaborating to build an open source Artificial Intelligence (AI) platform called Acumos, which will make it easy to build, share and deploy AI applications. The platform, hosted by The Linux Foundation, will provide a marketplace for accessing, using and enhancing the applications.

AT&T contends that the industry needs a way to make AI apps reusable and accessible outside the company that created them, and simplify deployments to lower the barrier to entry so that operators can keep up with customer demand.

A press release from AT&T describes Acumos as an extensible framework for machine learning solutions, which provides the capability to edit, integrate, compose, package, train and deploy AI microservices. In short, it’s an AI marketplace where applications can be chained together to create complex services, says Dawn Bushaus, managing editor at TM Forum.

The company gives an example of someone who wants to create an AI application for video analytics.

“The Acumos platform gives them a variety of applications to choose from, like location tracking and facial recognition. The simple platform interface lets you choose AI capabilities and stitch them together automatically so they function as a single application.

In this case, the new service could identify where the video was shot based on background landmarks, and identify the speakers in it – design and deploy in a single interface and with minimal additional code development. Content curation, autonomous cars, drones, and augmented reality/virtual reality are other areas where AI models could be used with the Acumos platform.”

Mazin Gilbert, vice president of Advanced Technology at AT&T Labs, is quoted as saying: “Our goal with open sourcing the Acumos platform is to make building and deploying AI applications as easy as creating a website. We’re collaborating with Tech Mahindra to establish an industry standard for AI in the networking space. We invite others to join us to create a global harmonisation in AI and set the stage for all future AI network applications and services.

“We’re opening up AI. We’re focusing on the telecommunication, media and technology spaces, starting with the network. The platform will be available to anyone and the more users who adopt it, the better it will get.”

Acumos is powered by AT&T Indigo, the company’s next-generation platform for delivering a seamless network experience. Tech Mahindra is looking to make AI simpler to improve adoption, according to Raman Abrol, senior vice president & Strategic Business Unit head at Tech Mahindra.

Dawn Bushaus

“In collaboration with AT&T, we will help enable enterprises apply AI to re-imagine business models, unlock the potential of data and drive business outcomes,” he said. “Our ultimate goal with the Acumos Project is to accelerate and industrialise the deployment of AI at enterprises and get developers and businesses to collaborate effectively in order to improve how we all live, work and play.”

This isn’t the first time AT&T has used this model of moving its own technology into the open source community. The company contributed its ECOMP system (Enhanced Control, Orchestration, Management and Policy) to open source earlier this year and then used it to […]

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What are Some of the Different Components of an Enterprise Data Fabric?

By John Morrell

Click to learn more about video blogger John Morrell. The Big Data & Brews video blog series continues with host John Morrell, Senior Director of Product Marketing at Datameer. The series touches on hot topics within the business of Big Data, Analytics, Internet of Things, Machine Learning, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. […]

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