The development of artificial intelligence technologies has brought forth the era of autonomous cars, realistic robots, intelligent chatbots, and AI YouTubers. And now, researchers have created an artificial intelligence tool that utilizes language models to identify'fake news'. This tool has been developed to stop the spread of misinformation through stance detection. Based on deep-learning, the AI tool can verify the information provided in posts made on various platforms by comparing it to other posts available on the subject. With the tool, researchers want to eliminate the deceptive posts that have plagued the internet.

We describe the use of Non-Negative Matrix Factorization (NMF) and Latent Dirichlet Allocation (LDA) algorithms to perform topic mining and labelling applied to retail customer communications in attempt to characterize the subject of customers inquiries. In this paper we compare both algorithms in the topic mining performance and propose methods to assign topic subject labels in an automated way.

Artificial intelligence is considered as a key technology. It has a huge impact on our society. Besides many positive effects, there are also some negative effects or threats. Some of these threats to society are well-known, e.g., weapons or killer robots. But there are also threats that are ignored. These unknown-knowns or blind spots affect privacy, and facilitate manipulation and mistaken identities. We cannot trust data, audio, video, and identities any more. Democracies are able to cope with known threats, the known-knowns. Transforming unknown-knowns to known-knowns is one important cornerstone of resilient societies. An AI-resilient society is able to transform threats caused by new AI tecchnologies such as generative adversarial networks. Resilience can be seen as a positive adaptation of these threats. We propose three strategies how this adaptation can be achieved: awareness, agreements, and red flags. This article accompanies the TEDx talk "Why we urgently need an AI-resilient society", see https://youtu.be/f6c2ngp7rqY.

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide you a one-stop source of late-breaking news to help you keep abreast of this fast-paced ecosystem. We're working hard on your behalf with our extensive vendor network to give you all the latest happenings. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.

SAN FRANCISCO, Dec. 17, 2019 (GLOBE NEWSWIRE) -- Holberton School, the two-year tuition-deferred college alternative educating the next generation of digital workers, announced the launch of their brand new Machine Learning curriculum which will be available at all eight world-wide Holberton campuses. The announcement was made at the flagship San Francisco campus featuring Grammy award-winner NE-YO, Black Girls Code founder and CEO Kimberly Bryant and representatives from Google (Tensorflow) and IBM. "Machine Learning, and by extension Artificial Intelligence, are increasingly dominating how we interact with technology at all levels, and the need for diversity has never been so urgent," said Gabriela de Queiroz, founder, AI Inclusive and R-Ladies. "Having programming skills isn't enough -- we need people who are aware of the ethical implications of AI, who can bring their diverse backgrounds, experiences, and perspectives to the workplace and incorporate them into the algorithms that will increasingly play a major role in healthcare, safety, and every other element of our lives." Machine Learning, which gives computers the capability to learn without being explicitly programmed, is already in use across the globe and is rapidly supplementing, and even replacing, traditional software development.

As artificial intelligence continues to grow and develop, its presence is affecting more and more industries. In this piece, Becky Holton explores the impact AI is having on the music business, as well as looking at some of the AI-based tools at play on the music market today. The main purpose of AI is to simulate mental tasks and one of the most important subsets of this technological advancement is machine learning. This is because it has a significant effect on all the other fields within AI. As AI gets incorporated in different industries, the music industry has now begun using it.

Amazon's Alexa voice assistant now has some celebrity competition. Starting last week, the company began letting users purchase the voice of actor Samuel L. Jackson as a fill-in for the company's popular voice assistant, Alexa. This means users who buy the voice for $0.99 are able to receive audio responses from their Echo device in the actor's iconic voice. Actor Samuel L. Jackson (pictured above) is the first-ever celebrity voice option to make its way onto the Echo speaker To use the new feature, users who purchase the Alexa alternate must prompt their Echo device to respond in Jackson's voice by specifically phrasing their queries. For instance, anyone who purchases the feature can activate Jackson's voice by uttering something like'Hey Alexa, ask Sam Jackson if...' The new feature stops short of fully replacing Alexa and currently only allows users to query Jackson for the weather, jokes, and for details about their calendar or the time or the news. While the functionality is currently limited in scope, adult users will still be able to enjoy Jackson's more adult vocal repertoire, including an explicit mode that sprinkles responses with curse words.

Many of these titles probably sound familiar to you. For a long time now, the concept of artificial intelligence has provided the masses with novels and blockbuster movies of science fiction, drama, comedy, and even unexpected stories of friendship. Hollywood and all of its fans have enjoyed these stories over the years -- appreciating them for what they are: Entertainment. Today, artificial intelligence (AI) has a very different meaning. In fact, as AI has moved from the silver screen to the screens of modern computers used by virtually every segment of society, it has a remarkably different purpose.