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4 tech disruptors that small businesses should care about - The Startup Network

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With the constant expansion of the internet and development of smartphones, the world is being continually transformed by new technology โ€“ and small businesses are no exception to this evolution. Technology has completely redefined customer expectations and how they interact with businesses. For those lagging behind in the digital age, this has can pressure on them to become more digital and step up to deliver the best customer experience possible. Many businesses are already embracing the digital age but, of course, there are many more changes still to come. These are known as'technology disruptors' โ€“ a new industry trend or technology that will affect and change how business success is achieved.


How mobile phones work with artificial intelligence

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In recent months there was much talk of the arrival of artificial intelligence to cell phones. In fact, it is the feature that most companies highlight when describing their products. LG, for example, announced that it would launch a new version of its LG V30 that will incorporate artificial intelligence to its camera, as well as other optimizations that come hand in hand with Google Assistant. Last year Huawei announced, with all pomp, the arrival of its chip Kirin 970, which integrates a unit of neuronal processing and that is part of Mate 10, and Apple boasted the neuronal engine of A11 Bionic, present in the iPhone 8, 8 Plus and X. Samsung, meanwhile, announced its Exynos 9810 chip, which is also based on neural networks as Snapdragon 845 of Qualcomm. The Galaxy S9 and S9 will include one of these last two processors, depending on the country where it is marketed.


Smarter devices, faster smartphones will follow from FCC 5G spectrum auctions

USATODAY - Tech Top Stories

It's completely understandable why you might overlook the news that the Federal Communications Commission will conduct a pair of high-band frequency spectrum auctions later this year. But if you are among the 77 percent of Americans who own a smartphone or you wish your home broadband speeds were faster, this is an important development. The two spectrum auctions announced today by FCC Chairman Ajit Pai, planned to begin in November, will help drive innovations in the evolution of 5G. That means the potential for speeds 100 times faster than current 4G networks and far lower latency, or better network responsiveness. "5G has the potential to have an enormously positive impact on American consumers," Pai said in a statement to USA TODAY.


Audi and Huawei team up on connected car technology

Engadget

Audi is no stranger to developing networked, internet-savvy cars. It still believes it needs a boost, however. To that end, it just signed a memorandum of understanding with Huawei that will see the two companies collaborate on "intelligent connected vehicles." These cars need a fast, reliable data connection, Audi said, and Huawei's involvement is bound to help. They see the alliance helping for everything from autonomous driving through to online services. The two haven't provided specific goals or long-term roadmaps.


SoftCOM AI: Hard on the competition with zero faults - Huawei Publications

#artificialintelligence

Huawei's SoftCOM AI solution introduces AI to All Cloud Networks. Designed to create self-driving network architecture, SoftCOM AI is a transformative solution that can help operators compete with OTT companies by using predictive AI to minimize network faults. Telecom services are divided into three tiers: device, network and IT infrastructure, and upper-layer applications. However, in today's telecom's landscape, cross-sector competition is threatening telco revenue models. Thanks to dramatic increases in network speeds, IT and Internet companies are offering cloud services in traditional telco territory: backbone networks, some MANs, IT infrastructure, and IT applications.


Google offers to leave robocallers hanging on the telephone

#artificialintelligence

Fresh from fighting content filters in the EU, Google is working on the ultimate content filterโ€“ which seals the user off in a spam-free bubble. It's a nuisance caller detection feature built into Android, and it could have unintended consequences. The feature, spotted in recent commits to the Android Open Source Project (AOSP), offers to "screen unwanted calls with real-time audio transcription and quick responses". The commits were spotted by sharp-eyed devs at XDA here. Many phone apps already include a blacklist feature and third-party phone apps, such as Drupe and Truecaller, use caller ID to screen unwanted calls.


Nokia, China Mobile ink deal to research artificial intelligence, 5G

#artificialintelligence

Nokia and China Mobile, the world's largest mobile carrier in terms of subscribers, have signed an Memorandum of Understanding (MoU) to investigate the potential of artificial intelligence (AI) and machine learning to optimize future networks and enable the delivery of new edge cloud and 5G services. Under the terms of the agreement, the two companies will jointly establish a laboratory in Hangzhou, China to develop the demo system to verify technology use cases using Nokia's 5G Future X architecture. The deal also stipulates that China Mobile will lead the research in terms of scenario selection, requirements confirmation, open API standardization and solution definition. Under the MoU, Nokia and China Mobile will work together to research the application of AI and machine learning to ensure any changes in demand are predicted and network resources are automatically allocated to meet all service demands with consistent high quality and reliability, the two firms said. At the new laboratory in Hangzhou, Nokia and China Mobile will foster an open Radio Access Network and 5G ecosystem working with third parties to leverage AI and machine learning and optimize networks for the delivery of services such as cloud virtual reality gaming.


Stop robocalls, free TV, anonymous browsing and more: Tech Q&A

FOX News

Q: I am so tired of robocalls. Is there any way to stop them for good? A: The robocall is like the mosquito of telecommunications, bugging us to the point of madness. So why do companies (and criminals) still cling to such an obnoxious method? Enough people still relent or refuse to hang up, or even hand over their credit card numbers that the masterminds behind robocalls would be crazy to give up their racket.


MediaTek chips set to enable smartphone AI for Indian masses

#artificialintelligence

On-device Artificial Intelligence (AI) chips are fast changing the way Indian users interact with their devices and Taiwanese mobile chipset maker MediaTek on Thursday said it will ensure that the experience reaches millions of feature phone and entry-level smartphone users. Showcasing advancements in smartphone AI here, TL Lee, General Manager, Wireless Communication, MediaTek, told IANS that the company is well aware of the huge mobile handset consumer base. There are nearly 650 million mobile phone users in India and just over 300 million of them have a smartphone, according to Counterpoint Research. "We want to democratise AI. The idea of introducing New-Age chipsets with AI capabilities is to empower all mobile users. India offers a great opportunity across price segments and we'll have AI chips to address all of those soon," Lee emphasised.


Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

arXiv.org Machine Learning

An important challenge in underlay dynamic spectrum access (DSA) is how to establish an interference limit for the primary network (PN) and how cognitive radios (CRs) in the secondary network (SN) become aware of their created interference on the PN, especially when there is no exchange of information between the primary and the secondary networks. This challenge is addressed in this paper by present- ing a fully autonomous and distributed underlay DSA scheme where each CR operates based on predicting its transmission effect on the PN. The scheme is based on a cognitive engine with an artificial neural network that predicts, without exchanging information between the networks, the adaptive modulation and coding configuration for the primary link nearest to a transmitting CR. By managing the tradeoff between the effect of the SN on the PN and the achievable throughput at the SN, the presented technique maintains the change in the PN relative average throughput within a prescribed maximum value, while also finding transmit settings for the CRs that result in throughput as large as allowed by the PN interference limit. Moreover, the proposed technique increases the CRs transmission opportunities compared to a scheme that can only estimate the modulation scheme.