Knowledge Graphs (KGs) have gained considerable attention recently from both academia and industry. In fact, incorporating graph technology and the copious of various graph datasets have led the research community to build sophisticated graph analytics tools. Therefore, the application of KGs has extended to tackle a plethora of real-life problems in dissimilar domains. Despite the abundance of the currently proliferated generic KGs, there is a vital need to construct domain-specific KGs. Further, quality and credibility should be assimilated in the process of constructing and augmenting KGs, particularly those propagated from mixed-quality resources such as social media data. This paper presents a novel credibility domain-based KG Embedding framework. This framework involves capturing a fusion of data obtained from heterogeneous resources into a formal KG representation depicted by a domain ontology. The proposed approach makes use of various knowledge-based repositories to enrich the semantics of the textual contents, thereby facilitating the interoperability of information. The proposed framework also embodies a credibility module to ensure data quality and trustworthiness. The constructed KG is then embedded in a low-dimension semantically-continuous space using several embedding techniques. The utility of the constructed KG and its embeddings is demonstrated and substantiated on link prediction, clustering, and visualisation tasks.

As voice-based assistants such as Alexa, Siri, and Google Assistant become ubiquitous, users increasingly expect to maintain natural and informative conversations with such systems. However, for an open-domain conversational system to be coherent and engaging, it must be able to maintain the user's interest for extended periods, without sounding boring or annoying. In this paper, we investigate one natural approach to this problem, of modulating response prosody, i.e., changing the pitch and cadence of the response to indicate delight, sadness or other common emotions, as well as using pre-recorded interjections. Intuitively, this approach should improve the naturalness of the conversation, but attempts to quantify the effects of prosodic modulation on user satisfaction and engagement remain challenging. To accomplish this, we report results obtained from a large-scale empirical study that measures the effects of prosodic modulation on user behavior and engagement across multiple conversation domains, both immediately after each turn, and at the overall conversation level. Our results indicate that the prosody modulation significantly increases both immediate and overall user satisfaction. However, since the effects vary across different domains, we verify that prosody modulations do not substitute for coherent, informative content of the responses. Together, our results provide useful tools and insights for improving the naturalness of responses in conversational systems.

Since data breaches are becoming more and more frequent.

SDL (LSE: SDL), the intelligent language and content company, announces it has entered into a technical partnership with DRUID, specialists in conversational AI, to launch multi-lingual virtual assistants for enterprise organizations that enable real-time communication through chatbots. By integrating SDL Machine Translation with DRUID virtual assistants, companies will be able to conduct chatbot conversations in different languages with employees, customers, partners and suppliers. The solution offers a real-time "interpreter mode" function, which can translate conversations along with "live chat" which can translate into multiple languages in real-time. This supports the need for customers to easily translate entire conversations as well as enable scenarios where an agent – human or virtual – needs to communicate across multiple languages simultaneously. Chatbots are commonly configured to undergo complicated question-and-answering activities in different languages, but language-specific customization can be complex, time-consuming and costly.

Microsoft is laying off dozens of journalists and editorial workers at its Microsoft News and MSN organizations. The layoffs are part of a bigger push by Microsoft to rely on artificial intelligence to pick news and content that's presented on MSN.com, inside Microsoft's Edge browser, and in the company's various Microsoft News apps. Many of the affected workers are part of Microsoft's SANE (search, ads, News, Edge) division, and are contracted as human editors to help pick stories. "Like all companies, we evaluate our business on a regular basis," says a Microsoft spokesperson in a statement. "This can result in increased investment in some places and, from time to time, re-deployment in others. These decisions are not the result of the current pandemic."

Technological advancements have impacted our lives significantly over the years. The things we viewed as science fiction in the past are our current reality. Robots, supercomputers, and interactive applications are now typical. One of the technologies, Artificial Intelligence, is at the forefront of transforming our lives. AI is integrated into almost all devices we use daily, making our lives easier.

Dozens of contract journalists at Microsoft's MSN and Microsoft News organizations are being phased out in favor of artificial intelligence, according to multiple reports this week. Between Wednesday and Thursday, roughly 50 staffers received the news that their contracts would not be renewed after their June 30 expiration date. All are employed through outside agencies, including 27 writers with the UK's PA Media Group, according to a Guardian report. "Like all companies, we evaluate our business on a regular basis," a Microsoft spokesperson said in a statement via the Seattle Times. "This can result in increased investment in some places and, from time to time, re-deployment in others. These decisions are not the result of the current pandemic."

Microsoft will not renew the contracts for about 50 news production contractors, who were told that they would no longer be needed beyond June 30, multiple sources told the Seattle Times. The workers are tasked with identifying trending news stories from publishing partners, and optimizing content by rewriting headlines or improving accompanying images. The manual curation of articles allowed for clear and appropriate headlines, while avoiding unreliable sources and highlighting content from smaller outlets. Full-time news producers who are performing the same functions will be retained, but all contracted news producer jobs were eliminated. Some of the contractors, who wish to remain anonymous, told the Seattle Times that A.I. will take over their responsibilities at MSN.

You may even be using one to read this article. Wi-Fi has become essential to our personal and professional lives. The smartphone and the internet we use today wouldn't have been possible without wireless communication technologies such as Wi-Fi. In 1995 if you wanted to "surf" the internet at home, you had to chain yourself to a network cable like it was an extension cord. In 1997, Wi-Fi was invented and released for consumer use.