People should brace themselves for the proliferation of artificial intelligence as it will change the way we live within three decades, SoftBank CEO Masayoshi Son told CNBC. "Within 30 years, definitely, things will be flying," Son told CNBC's David Faber in an interview that aired Friday. "Things will be running much faster without accident. We will be living much longer, much healthier. The diseases that we could not solve in the past will be cured."

While we take a look back at some highlight stories this week out of SXSW, there's a trial result in Apple v. Qualcomm, and a presidential candidate's past is quite relevant to our interests. Oh, and we rode in the Model Y. Almost forgot about that. That's one way to do it.Fan While you wouldn't mistake it for an official remaster, using AI Gigapixel's neural networks on old Deep Space 9 video provides a considerably cleaner, sharper look than the 480p original without introducing visual artifacts. This is just one of several cases going on between the two companies.Jury decides Apple violated three Qualcomm patents in iPhones Following a two-week trial, a jury has determined that Apple violated three Qualcomm patents in some iPhones.

Verizon's move into new cities is an attempt to entice wireless customers with the ultrafast speeds and low latency connections that 5G promises. The technology has been touted as a major breakthrough that will allow for more seamless streaming of videos and lightning-fast response times from self-driving cars. But while innovations in 5G technology are happening in several places in the United States, there isn't an existing network that's widespread enough to benefit the majority of wireless customers right away. The transition from 4G to 5G networks in the United States won't be widespread until 2020, and will involve infrastructure upgrades that cost companies billions of dollars. It will also require lots of testing.

Artificial intelligence and machine learning have emerged in the marketing industry as a pathway to competitive advantage. The best marketers are identifying, evaluating and testing AI-driven applications to make better sense of their data, create personalized customer experiences and accelerate revenue growth. In fact, 84% of marketing organizations either implemented or expanded AI and machine learning experiments and implementations in 2018. While it's no doubt that artificial intelligence has helped marketing teams improve their productivity, with most brands spending between 25 and 43% of their marketing budget on content, it's important to understand how AI can impact this specific department. The truth is, artificial intelligence has actually had an active presence in the content marketing industry for years.

We aim to jointly optimize the antenna tilt angle, and the vertical and horizontal half-power beamwidths of the macrocells in a heterogeneous cellular network (HetNet) via a synergistic combination of deep learning (DL) and reinforcement learning (RL). The interactions between the cells, most notably due to their coupled interference and the large number of users, renders this optimization problem prohibitively complex. This makes the proposed deep RL technique attractive as a practical online solution for real deployments, which should automatically adapt to new base stations being added and other environmental changes in the network. In the proposed algorithm, DL is used to extract the features by learning the locations of the users, and mean field RL is used to learn the average interference values for different antenna settings. Our results illustrate that the proposed deep RL algorithm can approach the optimum weighted sum rate with hundreds of online trials, as opposed to millions of trials for standard Q-learning, assuming relatively low environmental dynamics. Furthermore, the proposed algorithm is compact and implementable, and empirically appears to provide a performance guarantee regardless of the amount of environmental dynamics.

This paper looks into the problem of detecting network anomalies by analyzing NetFlow records. While many previous works have used statistical models and machine learning techniques in a supervised way, such solutions have the limitations that they require large amount of labeled data for training and are unlikely to detect zero-day attacks. Existing anomaly detection solutions also do not provide an easy way to explain or identify attacks in the anomalous traffic. To address these limitations, we develop and present GEE, a framework for detecting and explaining anomalies in network traffic. GEE comprises of two components: (i) Variational Autoencoder (VAE) - an unsupervised deep-learning technique for detecting anomalies, and (ii) a gradient-based fingerprinting technique for explaining anomalies. Evaluation of GEE on the recent UGR dataset demonstrates that our approach is effective in detecting different anomalies as well as identifying fingerprints that are good representations of these various attacks.

As with previous Summits, there'll be leading data scientists there, highlighting how they use KNIME Software for solving data problems across industries such as telecommunications, retail, life sciences, manufacturing, finance, and more. We've also got our KNIME courses on offer, giving you the chance to extend your KNIME knowledge, plus an exciting social program, providing plenty of networking opportunities. On March 18 and 19 we are offering several one day KNIME Courses that cover a variety of topics. We'll also be running a KNIME Server half-day workshop on Friday, March 22. Watch this space for more details. We'll take a step back in time and look at the last four versions of KNIME Analytics Platform and all the neat features that have been released.

Professor Reza Nejabati, head of Bristol's high petformance networks research group, said: "Hardware and software technologies reported in this paper can potentially revolutionise 5G networks. "They empower network operators to leverage the flexibility and programmability offered by virtualization technology in order to create new types of internet services while taking advantages of transmission at the speed of light and also securing the system using quantum technology". A number of concerns have been raised about the security risks posed by 5G. While the 5G security rules set up by the 3GPP standards body are believed to be more secure than those for 4G, it's expected that 5G will be used to connect more than just mobile phones, expanding the so-called threat surface. In time, self-driving cars and personal medical technology could both depend on 5G to operate. Professor Dimitra Simeonidou, director of the Smart Internet Lab, said: "5G networks will transform communications, industry and society in the next decade.

Most recently, Chinese telecom equipment and consumer electronics giant Huawei filed suit against the U.S. government on Thursday, alleging that a law passed last August banning the company's hardware is unconstitutional because it unfairly targets Huawei. The arms race between the two superpowers over the tech talent, physical infrastructure and industrial muscle--not to mention the IP that comes with the technologies--that will unlock these advancements has been increasingly evident in diplomatic machinations, public investments of varying size and outward rhetoric from state leaders, as each country's government has moved the technologies to the top of their respective economic agendas. These struggles are about more than economic opportunity alone. The shift to 5G networks, which promise to eventually reach speeds up to 100 times faster than what's currently available, could expand the role of wireless communications systems into everything from power grids to traffic, while AI is already facilitating the mass collection and processing of data that will power critical tools like autonomous driving and facial recognition. In that future state, control over telecom equipment and AI-powered data centers could be like holding the keys to a society.

Let's take a closer look at some of the most important, key take-aways from this year's MWC19 wireless conference in Barcelona. The theme was, "Intelligent Connectivity". The surprise was a sudden focus on folding-screen smartphones. However, the most important areas are the rapid move to 5G, AI and IoT. Plus, managing all the new technology that is coming at us at light-speed and more.