The world is increasingly awash in connected, "smart" devices. The phenomenon -- often termed the "Internet of Things" or IoT -- began with simple tools like Chromecast or personal digital assistants like Amazon's Alexa. Now it has grown to the point that nearly every device we use in our daily lives is, or is on the verge of being, electronically connected to all the others in a vast web of convenience. Innovations that seemed wildly futuristic just a few years ago are now part of our homes, our cities, and our supply chains. What people often fail to consider are the risks that come with all this interconnectedness.

Natural Language Processing makes the semantics of human language comprehendible to the systems, devices, and machines. Communication is the key to progress! This phrase has been regaled innumerable times, to establish a successful business. Be it an employee-employer relationship or owner-client/customer relationship, communication is the driving force behind successful decision making. Over the years, communication has been enthralled with innovations in technology.

Calldesk, the European pioneer in AI-powered voice agents, and Talkdesk, the cloud contact center for innovative enterprises, announced a partnership to accelerate the deployment of conversational AI in contact centers. Via the partnership with Calldesk, Talkdesk customers will now be able to leverage the advantages of conversational AI, by reducing the cost of processing simple requests and providing a better experience to their callers: a personalized response, 24/7, with no hold time, even during call peaks. The Covid-19 crisis has accelerated the transition to cloud contact centers, due to an increase in customer queries as people began working from home. Calldesk's AI-powered voice agents provide an innovative solution to automate repetitive calls in contact centers, in order to manage call spikes, avoid long queue times, and continue to deliver the best customer experience. "We are excited to have Calldesk join the Talkdesk AppConnect partner community. Outstanding AI technology and industry expertise from Calldesk will strengthen and expand the Talkdesk offering," said John Youri, senior vice president, global channels and alliances.

In this paper, we analyze and extend an online learning framework known as Context-Attentive Bandit, motivated by various practical applications, from medical diagnosis to dialog systems, where due to observation costs only a small subset of a potentially large number of context variables can be observed at each iteration; however, the agent has a freedom to choose which variables to observe. We derive a novel algorithm, called Context-Attentive Thompson Sampling (CATS), which builds upon the Linear Thompson Sampling approach, adapting it to Context-Attentive Bandit setting. We provide a theoretical regret analysis and an extensive empirical evaluation demonstrating advantages of the proposed approach over several baseline methods on a variety of real-life datasets.

Traditional recommender systems encounter several challenges such as data sparsity and unexplained recommendation. To address these challenges, many works propose to exploit semantic information from review data. However, these methods have two major limitations in terms of the way to model textual features and capture textual interaction. For textual modeling, they simply concatenate all the reviews of a user/item into a single review. However, feature extraction at word/phrase level can violate the meaning of the original reviews. As for textual interaction, they defer the interactions to the prediction layer, making them fail to capture complex correlations between users and items. To address those limitations, we propose a novel Hierarchical Text Interaction model(HTI) for rating prediction. In HTI, we propose to model low-level word semantics and high-level review representations hierarchically. The hierarchy allows us to exploit textual features at different granularities. To further capture complex user-item interactions, we propose to exploit semantic correlations between each user-item pair at different hierarchies. At word level, we propose an attention mechanism specialized to each user-item pair, and capture the important words for representing each review. At review level, we mutually propagate textual features between the user and item, and capture the informative reviews. The aggregated review representations are integrated into a collaborative filtering framework for rating prediction. Experiments on five real-world datasets demonstrate that HTI outperforms state-of-the-art models by a large margin. Further case studies provide a deep insight into HTI's ability to capture semantic correlations at different levels of granularities for rating prediction.

The introduction of artificial intelligence into activities traditionally carried out by human beings produces brutal changes. This is not without consequences for human values. This paper is about designing and implementing models of ethical behaviors in AI-based systems, and more specifically it presents a methodology for designing systems that take ethical aspects into account at an early stage while finding an innovative solution to prevent human values from being affected. Two case studies where AI-based innovations complement economic and social proposals with this methodology are presented: one in the field of culture and operated by a private company, the other in the field of scientific research and supported by a state organization.

Though it was held this year in October instead of September, Apple's "Hi, Speed" media event was a largely typical iPhone launch party, opening with the expansion of its Siri-powered line of HomePod speakers ("Hi"), and concluding with the long-awaited addition of 5G cellular connectivity to the iPhone lineup ("Speed"). Some companies might have tread cautiously on these topics -- Siri and 5G have both been dogged by complaints -- but Apple didn't hold anything back, using a seemingly endless parade of spokespeople to hype the new devices ahead of preorders. The 5G iPhone 12 family, it promised, will "blast past fast," while the $99 HomePod mini will become a hub to "control your smart home," bringing "intelligent assistant" access to the lowest price yet for any Siri device. Having covered Apple for a long time, I'm not surprised that its latest pitches were all sunshine and roses, but I couldn't help but feel that it was making big promises that could come back to bite the company and its partners. As of October 2020, the only thing less likely to thrill someone than a Siri speaker is typical U.S. 5G network performance, which despite boasts of 1-4Gbps downloads has seen average speeds that are barely better than 4G/LTE. Siri and 5G are both theoretically moving targets -- they're services that could improve at any time and in any region without advance notice -- but prior to this event, neither has delivered on its transformative potential.

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The Echo Show 5 is one of the best smart speakers you can buy--and now it's on sale. Purchases you make through our links may earn us a commission. Life gets so hectic sometimes it helps to have an assistant. With the Echo Show 5, that's essentially what you'll be getting: A remarkably resourceful buddy who's always down to help you with your errands and to-do list--all you have to do is ask. As one of Amazon's best Prime Day 2020 deals, Prime members can get this truly marvelous smart display at a major discount--and that's just where the fun begins.

We're in 2020 and long past the days back when we used to stand outside the school library to get the opportunity to copy two or three Encyclopedia pages, to use as a kind of reference for our school projects. With this age having grown up with the benefit of access to technology at their fingertips, the field of education has hugely changed and overturned in this digitally driven world. Artificial Intelligence in the education market was worth US$2.022 billion for the year 2019. The worldwide AI in the education market is anticipated to be valued at USD 3.68 billion by 2023, at a CAGR of 47% during the forecast period of 2018 till 2023. Artificial intelligence has already infiltrated our lives on an individual level.