Artificial Intelligence (AI) and Machine Learning (ML) are two buzzing terms that you are most likely to hear almost every day. Right from Google and Amazon to Microsoft, Huawei and Samsung are all deploying AI in their products. Now, Tecno Mobile, the Chinese smartphone company is all set to launch a new selfie-centric smartphone in India in its Camon-series. BGR India has learned that the key highlight of the smartphone will be its AI-enabled selfie camera. The smartphone will leverage AI technology to make you look good in your selfies.

In this paper we consider whether RNNs can learn functionally equivalent models of unknown computer hardware peripherals through input/output observation. Peripheral devices attach to a main computer and use both hardware within the device and driver software running on the main computer to perform a task, such as printing a page or sending a message. However, there are instances when hardware is accessible from the main system but driver software is not, rendering the peripheral unusable. This situation is prevalent in open source operating systems where driver software may not be available from the vendor. Without driver software or development documentation, it is incumbent on the system's owner to write software to make use of the peripheral. The device itself is a "black box", with no information directly available to the developer beyond a set of memory addresses to interact with the device and the observable output of the hardware itself. This leads to labor-intensive reverse engineering efforts with varying degrees of success (see e.g.

The ubiquitous complex networks are often composed of regular and irregular components, which makes uncovering the complexity of network structure into a fundamental challenge in network science. Exploring the regular information and identifying the roles of microscopic elements in network organization can help practitioners to recognize the universal principles of network formation and facilitate network data mining.Despite many algorithms having been proposed for link prediction and network reconstruction, estimating and regulating the reconstructability of complex networks remains an inadequately explored problem. With the practical assumption that there has consistence between local structures of networks and the corresponding adjacency matrices are approximately low rank, we obtain a self-representation network model in which the organization principles of networks are captured by representation matrix. According to the model, original networks can be reconstructed based on observed structure. What's more, the model enables us to estimate to what extent networks are regulable, in other words, measure the reconstructability of complex networks. In addition, the model enables us to measure the importance of network links for network regularity thereby allowing us to regulate the reconstructability of networks. The extensive experiments on disparate networks demonstrate the effectiveness of the proposed algorithm and measure. Specifically, the structural regularity reflects the reconstructability of networks, and the reconstruction accuracy can be promoted via the deleting of irregular network links independent of specific algorithms.

An Information Communication Technology (ICT) expert, Mr Adede Williams, says the introduction of Artificial Intelligence (AI) will ease the difficulty involved in doing businesses in the country. Williams, who is President of Association of Telecommunications Professionals of Nigeria (APTN), stated this in an interview with on Thursday in Abuja. He spoke at the backdrop of the 2018 World Telecommunication and Information Society Day, with "Enabling the Positive Use of Artificial Intelligence for All'' as theme. Artificial Intelligence is an aspect of Computer Science that emphasizes the creation of intelligent machines that work and react, like humans. Williams said that the theme for the year was apt and carefully selected by the International Telecommunication Union (ITU), adding that the positive use of AI was a powerful message to the public. He said that AI could be used in all sectors of the economy as it made the job easier and effective. "When you look at what is happening these days, artificial intelligence is what is actually taking care of a lot of things.

TouchPal, a very popular AI-powered virtual keyboard for Android devices (with more than 700m users) recently unveiled something called Talia, a voice-activated intelligent assistant. While I prefer to live in the physical keyboard world (hello BlackBerry KEY2), using a virtual keyboard is pretty much inevitable if you have a modern smartphone. TouchPal pairs Android keyboards to the functionality of all the apps we addictively use on the daily: Facebook, Instagram, Snap, LinkedIn, YouTube, Chrome, and so on. TouchPal learns from user input to personalize and proactively tailor recommendations, suggestions and custom content. It is also an ad-supported network and requires a ton of permissions in order to operate on your phone. Considering how much it needs to know in order to make your life (I guess) more streamlined, this makes sense.

Japan-based mobile operator SoftBank improved its radio access design in the Tokai region by using a network automation service from Ericsson. Ericsson's elastic radio access (RAN) design uses machine learning and big data analytics to enable automation. The end result is an improved user experience and a reduction in lead time of 40% over traditional network design methods. While SoftBank is seeing improved benefits now with the new design, which it will use in other geographical areas, automation and the use of artificial intelligence will have a big impact in the near future on the rollout of 5G technologies and designs. "I would say that this is a solid incremental step toward planning and operating much denser radio networks, which 5G will certainly need," said IDC's Andy Hicks, research director, EMEA telecommunications and networking.

Japanese technology giant SoftBank has partnered with Swedish telecoms provider Ericsson to trial new radio technology that uses machine learning to design networks and improve performance. SoftBank, whose investments in emerging technologies include Uber and robotics specialist Boston Dynamics, is a leading mobile network operator in Japan and one of the country's largest organisations. The company has been implementing Ericsson's machine intelligence method for advanced radio network design in the Tokai region of the country. Ericsson's technology relies on a thorough analysis of the radio network environment. This includes assessing cell coverage overlap, signal strength, and receiver diversity.

A flagship'iPhoneX killer' smartphone launching today features technology to rival Apple's £999 ($999) device at a fraction of the price. The new Honor 10 will set you back just £399 ($540), £600 ($800) cheaper than the handset, but is packed with a whole host of features to rival the high-end gadget. That includes AI powered cameras, which feature facial recognition unlocking, as well as an ultrasonic fingerprint sensor. The device, which launched in China last month, goes on sale from 4pm BST (11am ET) today in the UK, France, Germany, Italy and Spain, with 21 additional international markets from Asia to Africa to follow. Europe is key for the brand beyond China, because it has been banned from the lucrative US market based on unspecified national security concerns.

NEW DELHI: Country's second-largest telecom service provider Vodafone India, in its strategic digital focus, is embracing Artificial Intelligence (AI) and Big Data technologies to enhance consumer experience. The UK-headquartered telco, in its digitalisation quest, seeks to deliver instant consumer services, in tandem with arch rival Bharti Airtel's recent push to transform information technology (IT) infrastructure. "Technologies such as Artificial Intelligence and Big Data are helping us understand customer preferences better and that enable us to cater to them accordingly," a Vodafone executive who do not wish to be named told ETTelecom. Customers, according to the telco, proactively receive most appropriate plan or pack options to choose from basis the history of their voice and data usage. Carriers worldwide are aggressively adopting AI, Big Data to serve customers better by integrating analytics into each customer profile thereby tracking voice and data consumption behavior and that also reduces dependency on physical customer care operations.

SoftBank Corp. ("SoftBank"), a leading mobile operator in Japan, has implemented an innovative method for radio access network design from Ericsson (NASDAQ: ERIC), based on machine intelligence. The service groups cells in clusters and takes statistics from cell overlapping and potential to use carrier aggregation between cells into account, thus reducing operational expenditure and improving network performance. Compared to traditional network design methods, it cut the lead time by 40 percent. Ryo Manda, Radio Technology Section Manager at the Tokai Network Technology Department of SoftBank, says: "We applied Ericsson's service on dense urban clusters with multi-band complexity in the Tokai region. The positive outcome exceeded our expectations and we are currently proceeding in other geographical areas with the same method and close cooperation with Ericsson."