In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.

Matrix completion constantly receives tremendous attention from many research fields. It is commonly applied for recommender systems such as movie ratings, computer vision such as image reconstruction or completion, multi-task learning such as collaboratively modeling time-series trends of multiple sensors, and many other applications. Matrix completion techniques are usually computationally exhaustive and/or fail to capture the heterogeneity in the data. For example, images usually contain a heterogeneous set of objects, and thus it is a challenging task to reconstruct images with high levels of missing data. In this paper, we propose the sparse reverse of principal component analysis for matrix completion. The proposed approach maintains smoothness across the matrix, produces accurate estimates of the missing data, converges iteratively, and it is computationally tractable with a controllable upper bound on the number of iterations until convergence. The accuracy of the proposed technique is validated on natural images, movie ratings, and multisensor data. It is also compared with common benchmark methods used for matrix completion.

The Social Internet of Things (SIoT), integration of Internet of Things and Social networks paradigms, has been introduced to build a network of smart nodes which are capable of establishing social links. In order to deal with misbehavioral service provider nodes, service requestor nodes must evaluate their trustworthiness levels. In this paper, we propose a novel trust management mechanism in the SIoT to predict the most reliable service provider for a service requestor, that leads to reduce the risk of exposing to malicious nodes. We model an SIoT with a flexible bipartite graph (containing two sets of nodes: service providers and requestors), then build the corresponding social network among service requestor nodes, using Hellinger distance. After that, we develop a social trust model, by using nodes' centrality and similarity measures, to extract behavioral trust between the network nodes. Finally, a matrix factorization technique is designed to extract latent features of SIoT nodes to mitigate the data sparsity and cold start problems. We analyze the effect of parameters in the proposed trust prediction mechanism on prediction accuracy. The results indicate that feedbacks from the neighboring nodes of a specific service requestor with high Hellinger similarity in our mechanism outperforms the best existing methods. We also show that utilizing social trust model, which only considers the similarity measure, significantly improves the accuracy of the prediction mechanism. Furthermore, we evaluate the effectiveness of the proposed trust management system through a real-world SIoT application. Our results demonstrate that the proposed mechanism is resilient to different types of network attacks and it can accurately find the proper service provider with high trustworthiness.

The retail industry is undergoing a sea change so massive that many industry insiders have termed it the "retail apocalypse." In a sign of this industry upheaval, in 2018 major retailers closed 5,524 stores in the U.S. and 1,432 stores in the U.K., according to figures compiled by the Coresight Research, a firm that studies the retail industry.1 In some good news for the industry, Coresight predicts that 2019 "will not be the year of retail apocalypse or even decline. Instead, it will be a year of reinvention -- for the retail sector as a whole and for physical stores in particular."2 This predicted reinvention of the industry stems in part from the use of sophisticated technology, specifically artificial intelligence.

Google Assistant is the smartest AI assistant. Microsoft's Cortana is surprisingly good, coming in second. Alexa is learning faster than any other assistant. Digital marketing firm Stone Temple tested Alexa, Cortana, Google Assistant, and Siri via an exhaustive list of 4,942 queries. For each, the company checked if the assistant answered, if the assistant understood the question, if the answer was wrong, and if the answers were sourced from a database or a third-party source, like Wikipedia.

Mention artificial intelligence and many people envision a dystopian future like something out of Blade Runner or I, Robot, with an impersonal society run by giant, faceless corporations. The reality is much different, as AI is behind many of the most personal services today, like voice assistants (Alexa, Siri) and predictive entertainment platforms (Netflix, Spotify). And it's not just for large enterprise companies: Thanks to more affordable AI options, small businesses are beginning to embrace it. In fact, while only 8 percent of SMBs currently use AI, research shows an additional 32 percent intend to implement it (which amounts to a potential growth rate of 310 percent). It may seem a bit shocking that so many small businesses would want to jump on board the AI train.

A ring, glasses and earbuds are among Amazon's latest voice-controlled devices to offer "even more ways to add Alexa to your daily life". Released last week, several of the products are grouped under Amazon's Echo smart speaker range. They include differently sized Echo speakers and wearables, and depend on the company's voice-activated, artificially intelligent assistant Alexa. The broad range is intended to "make your home smarter and safer, keep family and friends connected, and bring your favourite entertainment to you, wherever you are", according to Amazon. "Amazon introduced an all-new line-up of Echo devices that give you even more ways to add Alexa to your daily life – whether at home or on-the-go," it added.

Amazon (NasdaqGS:AMZN) has made the Alexa Echo available in Brazil. The mega popular virtual assistant chatbot is now able to speak Brazilian Portuguese. "Echo Dot and Echo Show 5 are available for pre-order in Brazil today and will begin shipping to customers starting next week, while Amazon Echo will be available to customers in November,'' according to the press release. "We're excited to introduce Alexa to customers in Brazil, with a custom-built experience that honors Brazil's language and unique culture. Customers across Brazil will be able to ask for their favorite music, control their smart home, and enjoy skills from hundreds of customer-favorite Brazilian brands including Show do Milhão, Porta dos Fundos, UOL Esporte, iFood, Leite Ninho, Cinemark, and more.

AI and the Future of Work: AI is the fourth industrial revolution and 84% of companies know that they need to invest in AI to have a competitive advantage. But how do we actually use AI in our day to day processes while delivering a personalized human touch to each buyer? Learn how to integrate Intelligent Virtual Assistants into your organization to drive greater workforce productivity and job satisfaction. Build higher performing teams by automating the repetitive, routine tasks and freeing up people to do what they do best - build trusted relationships, perform the higher-value tasks that require more complex decision making and emotional intelligence to drive forward progress. A Marketer's Guide to Selfcare Using Intelligent Virtual Assistants Let's be real.

Artificial Intelligence (AI) has been the talk of the town for a while now. I remember the fiasco from chatbots that replied instantly. We have all texted Siri saying'I love you' at least once in our lives. It hasn't been long since then, but Artificial Intelligence, in a very short span, has embedded itself in our lives. The technology first emerged in the mid-1950s. Some feared it would replace the human workforce in the future, but for now, we are safe.