Networks


IoT and AI to fundamentally change the way we live and work: CSG

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CSG, a business support solutions (BSS) provider said that telecom carriers are increasingly leveraging the cloud to bring down the recurring operational costs, and with India's top service provider Bharti Airtel as one of the telcos to deploy revenue management platform, the US-headquartered company feels that the IoT and AI would fundamentally the change the way we live, work and play. How have you been supporting businesses to digitally transform? Almost every industry is faced with digital disruption and the need to transform to survive and thrive. Among our primary client base of communications service providers, digital transformation encompasses every aspect of their business, from rolling out new 5G networks to launching new services designed to attract consumers on-the-go. CSG supports the digital transformation of companies in ways such as investments in our solution portfolio that enable our customers to meet these increased demands, and through the deep expertise of our people across digital strategy, processes, and technology domains.


Researchers move closer to completely optical artificial neural network

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Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition. "Using an optical chip to perform neural network computations more efficiently than is possible with digital computers could allow more complex problems to be solved," said research team leader Shanhui Fan of Stanford University. "This would enhance the capability of artificial neural networks to perform tasks required for self-driving cars or to formulate an appropriate response to a spoken question, for example. It could also improve our lives in ways we can't imagine now."


Fog Computing Test Bed: Cutting Costs and Latency in Data Transmission

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Cisco reveals $100m investment in UK AI

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Cisco has announced a major investment into the UK's AI scene. The networking giant has revealed a $100m (£77m) commitment that includes a new partnership with University College London (UCL) aimed at creating one of the world's largest AI research centres. The facility will house between 200 and 250 masters students and researchers looking to take on some of the biggest AI industry challenges, as well as continue Cisco's 30-year relationship with UCL. "It's wonderful to renew our partnership with Cisco and work together to upskill the UK in machine learning and artificial intelligence," said UCL provost Professor Michael Arthur. "I'm particularly looking forward to opening the new AI Centre in the coming months to position us as a sector leader in computer science."


Cisco invests $100m into UK AI sector

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In an effort to help drive digital innovation in the UK, Cisco has announced a $100m investment in the country's growing AI scene. The networking giant will partner with University College London (UCL) to open one of the world's largest research centres for AI which will house over 200 UCL academics and researchers. The new centre will also aid in developing the UK's AI talent pool. Prime Minister Theresa May and digital secretary Jeremy Wright have both backed Cisco's initiative which will operate alongside the government's own industrial strategy. Cisco's chairman and chief executive, Chuck Robbins explained the firm's reasoning behind its investment in the UK's AI sector, saying: "We believe that the UK's expertise in AI and its commitment to making sure future innovators have the right digital skills will help ensure the nation's citizens are well-positioned to capture the opportunity ahead."


Cisco channels $100m into the UK's booming artificial intelligence sector

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Global telecoms tech firm Cisco has announced it will be investing $100m (£76.8m) Backed by Prime Minister Theresa May and digital secretary Jeremy Wright to run in tandem to the government's industrial strategy, Cisco will partner with University College London (UCL) to open one of the world's largest research centres for AI. The centre will become a hub for addressing ways to integrate AI into British industry by housing more than 200 UCL academics and researchers, as well as developing up and coming AI talent. Announced this morning at Downing Street, May called the investment a "vote of confidence" in the government's industrial strategy. "We believe that the UK's expertise in AI and its commitment to making sure future innovators have the right digital skills will help ensure the nation's citizens are well-positioned to capture the opportunity ahead," said Chuck Robbins, Cisco's chairman and chief executive.


Moving closer to completely optical artificial neural network: Optical training of neural networks could lead to more efficient artificial intelligence

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"Using an optical chip to perform neural network computations more efficiently than is possible with digital computers could allow more complex problems to be solved," said research team leader Shanhui Fan of Stanford University. "This would enhance the capability of artificial neural networks to perform tasks required for self-driving cars or to formulate an appropriate response to a spoken question, for example. It could also improve our lives in ways we can't imagine now." An artificial neural network is a type of artificial intelligence that uses connected units to process information in a manner similar to the way the brain processes information. Using these networks to perform a complex task, for instance voice recognition, requires the critical step of training the algorithms to categorize inputs, such as different words.


Zephyr solar-powered stratosphere drone takes flight

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Airbus has opened a production line for its high-altitude autonomous drone, the Zephyr S. The Zephyr has a wingspan of 25 meters and is designed to operate in the stratosphere at an average altitude of 21 kilometers -- above clouds, jet streams and ozone layer, as well as regular air traffic (apart perhaps, from the odd spy-plane). Airbus wants the drone to fly for 100 days without landing (its currently record is 14 days without refuelling) and travel up to 1,000 nautical miles per day. It weighs 75kg, but can support a payload up to five times its own weight. The drone can be used for things like surveillance and reconnaissance -- the UK's Ministry of Defence has already bought several of the unmanned aerial vehicles (UAVs). It could also be used to create a communication network either for civilian or military uses -- Facebook recently cancelled its own plans to build high-altitude drones to deliver internet access in remote areas, but at the time said it would continue to work with partners like Airbus on such vehicles.


Artificial intelligence and machine learning in next-generation systems - Ericsson

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While machine intelligence is certain to play a key role in the creation of next generation systems in a wide variety of industry sectors in the near future, it is particularly relevant in rapidly developing industries such as ICT, manufacturing and transportation. Across the globe, mobile operators are getting ready to deploy the 5th generation of 3GPP mobile wireless networks (5G). Compared to the mobile infrastructure that is currently in place, 5G will bring higher throughput, lower latency, more efficient signaling, support for more spectrum bands, more programmability and other additional advanced techniques to maximize usage and optimize costs [1]. The number of connected devices will greatly increase as a result of this improved performance: sensors will benefit from more affordable bandwidth to the internet; heavy users of uplink traffic like video cameras will be able to share more data; fast-moving devices (drones, cars) will have more reliable connectivity and so on. These new devices will be the catalysts of a new wave of innovation for all involved industries.


Machine learning takes a load off in network management

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As networks become more software-driven, they generate vastly greater amounts of data, which provides some challenges: adhering to compliance and customer privacy guidelines, while harvesting the massive amounts of data--it is physically impossible for humans to tackle the sheer volume that is created. But the vast amounts of data also provide an opportunity for businesses: leveraging analytics and machine learning to gather insights that can help network management move from reactive to proactive to assurance. This doesn't just mean a massive shift in technology because the human element won't simply go away. Instead, by combining human intellect and creativity with the computing power AI offers, innovative design and management techniques will be developed to build self-improving intelligent algorithms. The algorithms allow networks to operate in a way that far outweighs networks of the past.