The leak corroborates earlier reports that the Pro would have a third rear camera where its siblings would'only' have two. Huawei has been teasing the P20's March 27th launch event with promises of seeing "mooore with AI," so there's a good chance the third camera is being used for object recognition. Also, it's notable that the P20 Lite is the only one of the bunch with its fingerprint reader on the back, though it's not yet clear why. It shouldn't be a slouch -- the Lite will reportedly carry a 5.8-inch screen, 4GB of RAM and 64GB of built-in storage. While there are still some details up in the air (such as availability and price in key areas), the leak illustrates Huawei's strategy: like ASUS, it's gunning after Apple with all-screen phones in a wider price range.

Artificial Intelligence(AI) is the next big move in Technology. With all the areas getting impacted, it is also expected to bring about changes in the smartphone industry as well. In this article, we have compiled a list of 5 ways in which Artificial Intelligence will impact Smartphones in 2018. The market has ample number of apps that translate text from one language to another. All these apps make use of Internet data to upload the text to be translated and then translate it.

Google is allowing UK users to make phone calls to mobile numbers and landlines on its Home smart speakers, free of charge. Itw Home and Home Mini smart speakers will be able to place hand-free calls to ordinary UK numbers using Wi-Fi. The latest update will be rolled out across the UK this week. Users in the US have been able to make phone calls using the device since August last year. Google Home users will soon be able to make phone calls to mobile numbers and landlines, free of charge.

Wireless LAN provider Mist has secured $46 million in funding for its pioneering AI-powered WLAN services. Founded by former Cisco executives, Mist claims its cloud-based WLAN offering for enterprise is the world's first self-learning network, driven by the company's proprietary AI technology, which automates much of the network's management. The programmable cloud architecture is able to track and adapt to each user and their devices in order to deliver a reliable and consistent connection, according to a company blogpost. It does this by tracking over 100 pre- and postconnection states for every Wi-Fi client, and then sending that information to the Mist Cloud every few seconds to be run through multiple machine learning algorithms. The solution can also calculate mobile users' locations with low latency.

Huawei is expected to announce its 2018 flagship Android phone in a couple of weeks and it looks like the company will also debut its own virtual assistant for the Chinese market. Evidence has surfaced suggesting that Huawei will soon announce HiAssistant, the company's answer to Google Assistant and Amazon Alexa. The existence of HiAssistant was first discovered by XDA-Developers, which examined the firmware files of EMUI 8.1 for the Huawei Mate 10. Apparently, HiAssistant will only run on future Huawei phones that are being powered by the company's own Kirin 970 system-on-chip (SoC). This will most likely include the Huawei P20 and P20 Plus, which are both expected to be announced in Paris on March 27.

Google has started offering free voice calls through its Home smart speakers to UK landlines and mobile phones, bringing it in line with US offerings. Following an update rolling out this week, Google's Home and Home Mini smart speakers will be able to place calls to ordinary UK numbers over its wifi connection, for hands-free phone calls. It doesn't need a mobile phone to work, unlike some rival systems. Google Assistant will be able to call any number in your Google Contacts, as well as millions of businesses. Assistant is able to recognise the voice of up to six different users, giving them access to their own personalised contacts, meaning a command to "call mum" should call the right mother.

Cut to the first official day of the show, and it was almost impossible to avoid the in-your-face signs attempting to lure you to "5G open innovation" demos. Everywhere we turned, we were confronted with yet another banner. This isn't surprising of course, 5G is very much a mobile communications standard and we were in Barcelona for Mobile World Congress, after all. This isn't the first time 5G news has permeated MWC -- in years past, we saw companies show off "the first 5G phone," even before the spec was approved. But at MWC 2018, we were seeing not just a few obvious proofs of concept, but a broad creative range of connected devices.

Have you ever used the Shop T-Mobile chatbot? There are several features that I consider a big advantage to have in a chatbot and would like to share them with you. If you like them, feel free to implement the same in your own chatbots and let me know how it worked. How can you use these features? Have you ever come across Facebook ads with the Shop T-Mobile offers in your newsfeed?

We propose a method for practical downlink coordinated multipoint (DL CoMP) implementation in 4G LTE/LTE-A systems using supervised machine learning. Contributions of this paper are: 1) demonstrating that a support vector machine classifier can learn the optimal conditions at which DL CoMP can be dynamically triggered, 2) improving user throughput in DL CoMP as a result of learning the optimal triggering conditions of DL CoMP, and 3) showing that the machine learning approach is scalable to more than a single macro. The simulation results show an improvement in the pico cell average and edge throughputs and a reduction in the downlink block error rate due to the informed triggering of the multiple radio streams as part of DL CoMP as learned from the support vector machine.

A version of this article appeared in the Autumn 2017 issue of strategy business. But just such a change appears to be happening now. In a great wave of technological change, sensors are spreading through factories and warehouses, software is predicting the need for maintenance before a machine breaks down, power grids and loading docks are becoming intelligent, and custom-designed parts are being produced on demand. The leaders of the next industrial revolution are companies making advances in fields such as robotics, machine learning, digital fabrication (including 3D printing), the Industrial Internet, the Internet of Things (IoT), data analytics and blockchain (a system of decentralized, automated transaction verification). Because these technologies all reinforce the others' impact, they are leading to a new level of proficiency, and to new types of opportunities and challenges for business and for society at large. One key indicator is that conventional boundaries between industries are eroding. It's getting harder to tell the difference between, say, a telecommunications company and an entertainment producer, or between a retail bank and a retail store. The relationships among suppliers, producers, and consumers are also blurring, more rapidly than many business decision makers are prepared for. The foundation of business strategy has long been the classic value chain, which links together raw materials producers, manufacturers, distributors, and (in the end) consumers through a well-established commercial infrastructure characterized by a stable set of transactions. But the rise of digital technology enables individuals to connect outside the value chain and deliver more efficient, effective products and services. This will reduce the importance of economies of scale and conventional divisions of labor.