Abstract--Handling the tremendous amount of network data, produced by the explosive growth of mobile traffic volume, is becoming of main priority to achieve desired performance targets efficiently. Opportunistic communication such as Floating Content (FC), can be used to offload part of the cellular traffic volume to vehicular-to-vehicular communication (V2V), leaving to the infrastructure the task of coordinating the communication. Existing FC dimensioning approaches have limitations, mainly due to unrealistic assumptions and on a coarse partitioning of users, which results in over-dimensioning. Shaping the opportunistic communication area is a crucial task to achieve desired application performance efficiently. In this work, we propose a solution for this open challenge. In particular, the broadcasting areas called Anchor Zone (AZ), are selected via a deep learning approach to minimize communication resources achieving desired message availability. No assumption required to fit the classifier in both synthetic and real mobility. A numerical study is made to validate the effectiveness and efficiency of the proposed method. The predicted AZ configuration can achieve an accuracy of 89.7% within 98% of confidence level. By cause of the learning approach, the method performs even better in real scenarios, saving up to 27% of resources compared to previous work analytically modeled. I NTRODUCTION New offloading techniques to cope with the explosive growth in mobile traffic volumes, are a fundamental component of the next generation radio access network (5G). Part of the cellular traffic volume can be offloaded to vehicular-to- vehicular communication (V2V), leaving to the infrastructure the task of managing and coordinating the communication. In this context, of special interest are communication paradigms such as Floating Content (FC), an opportunistic communication scheme for the local dissemination of information [1]. FC as an infrastructure-less communication model, enables probabilistic contents storing in geographically constrained locations - denoted as Anchor Zone (AZ) - and over a limited amount of time based on the application requirements.

It's only been almost a quarter since Qualcomm launched its Snapdragon 670 mid-range chipset, but today, the company is already bringing out a slightly beefier Snapdragon 675, which is clearly designed with three smartphone trends in mind: Gaming optimization, multiple cameras and AI-enhanced features (including face unlock). Announced at the 4G/5G Summit in Hong Kong, the Snapdragon 675 features Qualcomm's brand new fourth-generation Kryo CPU -- the Kryo 460 with two high-power 2GHz cores and six low-power 1.7GHz cores -- which apparently gives a notable boost to its everyday performance and gaming performance. For instance, compared to the Snapdragon 670, the new Snapdragon 675 is claimed to launch games 30 percent faster and offers 35 percent faster web browsing. In the case of gaming, the Snapdragon 675 also leverages from further software optimization for smoother gameplay, along with prioritized connectivity to ensure minimal interruption. Qualcomm listed PUBG and King of Honor being two of the handful of games that already benefit from these features, with the latter title even able to run at up to 60 fps -- not bad given that the GPU is just a mid-range Adreno 612, though we shall see whether it runs just as well outside of the lab, especially when this chipset is fabricated using an 11nm LPP process instead of the finer 10nm.

When it comes to adding a voice assistant to a speaker or a pair of headphones, Amazon's Alexa has become the default choice for many OEMs, likely due to the openness and high adoption rate of the platform. Never one to miss a money-making opportunity, Qualcomm has decided to lend these manufacturers a hand by building a smart headset reference design, which features its very own QCC5100-series Bluetooth audio chip. With the Alexa app installed on your Android phone, once it's paired with these earbuds, you can toggle Alexa with a simple push of a button on one of the buds. Thanks to Qualcomm's radio know-how, this reference design apparently boasts a long battery life (as do many Bluetooth headphones these days, anyway) along with active noise cancellation, aptX HD audio and TrueWireless Stereo. Since this development kit supports Alexa Mobile Accessory Kit protocol out of the box, manufacturers can focus more on the design and other features, thus saving time and cost in the long run.

The European Union needs to brace itself for the prospect of a new wave of technology and productivity resurgence in ten to fifteen years' time, spearheaded by the implementation of AI and robotics innovations. This was the message introduced by Stefan Crets, Executive Director of CSR Europe, who, opening the high-level event, said that digitisation required a new agility in the workplace and a new way of collaborating. "The future of work is determined by the actions we take today and the choices we make. What we want to do is exchange experience, pull the expertise together and find the best practices." Economist Mirko Draca, co-author of a London School of Economics (LSE) report commissioned by Huawei, entitled'The evolving role of ICT in the economy,' said that a new wave of automation had started.

AI is the name of the game as new Android-powered machines push the innovation envelope. Last week's launch by Google of its Pixel 3 and Pixel 3 XL smartphones and last night's (16 October) launch by Huawei of its new flagship Mate 20 Pro indicate a rising sophistication among Android phone manufacturers. The style isn't just in the materials used to make attractive-looking devices, but also under the hood in terms of powerful new electronics and new dimensions of artificial intelligence (AI). 'Consumers are holding on to their handsets longer and longer, so making sure they're able to run effectively for their entire lifespan should be a key concern for manufacturers' – DOMINIC SUNNEBO For example, Google's Pixel 3 and Pixel 3 XL came with such refinements as the Snapdragon 845 processor, an amazing camera, 4GB of RAM front-facing stereo speakers and a new Titan M security chip. The Huawei smartphones feature a powerful new Kirin 980 processor – claimed to be Huawei's first 7nm devices – which will considerably step up the game against Apple's new A12 chip in the iPhone XS, XS Max and XR devices.

Huawei is not afraid to address the elephant in the room. When US mobile carrier AT&T pulled out of a deal to sell the Mate 10 Pro in January, the CEO of Huawei's consumer business unit, Yu Chengdong (Richard Yu), went off-script at the end of his CES 2018 keynote and tackled the topic head-on. Similarly, when Huawei made artificial intelligence the central theme of its annual Huawei Connect conference in Shanghai, rotating chairman Xu Zhijun (Eric Xu) was quick to bring up the topic of jobs in his opening speech. Concern that robots would replace human workers was a recurring topic throughout Huawei Connect 2018. Speakers addressed the issue during product launches, technical presentations, and panel discussions, offering varying perspectives around the fundamental impact AI will have on the nature of (human) work.

New communication standards need to deal with machine-to-machine communications, in which users may start or stop transmitting at any time in an asynchronous manner. Thus, the number of users is an unknown and time-varying parameter that needs to be accurately estimated in order to properly recover the symbols transmitted by all users in the system. In this paper, we address the problem of joint channel parameter and data estimation in a multiuser communication channel in which the number of transmitters is not known. For that purpose, we develop the infinite factorial finite state machine model, a Bayesian nonparametric model based on the Markov Indian buffet that allows for an unbounded number of transmitters with arbitrary channel length. We propose an inference algorithm that makes use of slice sampling and particle Gibbs with ancestor sampling. Our approach is fully blind as it does not require a prior channel estimation step, prior knowledge of the number of transmitters, or any signaling information. Our experimental results, loosely based on the LTE random access channel, show that the proposed approach can effectively recover the data-generating process for a wide range of scenarios, with varying number of transmitters, number of receivers, constellation order, channel length, and signal-to-noise ratio.

Chinese technology giant Huawei on Tuesday unveiled its flagship Mate 20, Mate 20 Pro, Mate 20X and Porsche Design Mate 20RS smartphones at an event at ExCel -- the largest conference venue in London. These are the first devices from Huawei's stable to be powered by the world's first 5G-ready 7nm (nanometre) chipset Kirin 980, equipped with Artificial Intelligence (AI) capabilities. No Mate series device has, however, made it to India before and the company has not made it clear yet if the new line-up will be launched in India. HUAWEI Mate 20 with 4GB RAM 128GB ROM configuration would be available for 799 euros (roughly Rs 67,800) and HUAWEI Mate 20 with 6GB RAM 128GB storage configuration would cost 849 euros (Rs 72,000, approximately). Both devices went on sale on Tuesday.

LONDON – SoftBank Group Corp.'s Pepper humanoid robot testified on Tuesday at the Education Committee of Britain's House of Commons. It was the first time in the long history of the British Parliament, which has served as the world's standard-setter of the parliamentary system, for a nonhuman to present an opinion, people familiar with the matter said. Pepper answered questions during a committee session to discuss the fourth industrial revolution, which uses robots and other new technologies, and the development of education brought on by artificial intelligence. "Good morning, chair," Pepper started off by saying. "Thank you for inviting me to give evidence today," it proceeded.

The complete part of the earthquake frequency-magnitude distribution (FMD), above completeness magnitude mc, is well described by the Gutenberg-Richter law. The parameter mc however varies in space due to the seismic network configuration, yielding a convoluted FMD shape below max(mc). This paper investigates the shape of the generalized FMD (GFMD), which may be described as a mixture of elemental FMDs (eFMDs) defined as asymmetric Laplace distributions of mode mc [Mignan, 2012, https://doi.org/10.1029/2012JB009347]. An asymmetric Laplace mixture model (GFMD- ALMM) is thus proposed with its parameters (detection parameter kappa, Gutenberg-Richter beta-value, mc distribution, as well as number K and weight w of eFMD components) estimated using a semi-supervised hard expectation maximization approach including BIC penalties for model complexity. The performance of the proposed method is analysed, with encouraging results obtained: kappa, beta, and the mc distribution range are retrieved for different GFMD shapes in simulations, as well as in regional catalogues (southern and northern California, Nevada, Taiwan, France), in a global catalogue, and in an aftershock sequence (Christchurch, New Zealand). We find max(mc) to be conservative compared to other methods, kappa = k/log(10) = 3 in most catalogues (compared to beta = b/log(10) = 1), but also that biases in kappa and beta may occur when rounding errors are present below completeness. The GFMD-ALMM, by modelling different FMD shapes in an autonomous manner, opens the door to new statistical analyses in the realm of incomplete seismicity data, which could in theory improve earthquake forecasting by considering c. ten times more events.