DJ Marshmello will be among the many musicians who have ties with video games scheduled to appear at the Metarama Gaming Music Festival in Las Vegas Oct. 19-20. Remember when DJ Marshmello played to a "Fortnite" audience of 10 million-plus? A new festival wants to recreate the scene on a smaller scale but in the real world. The masked electronic music maestro is among performers headlining a new festival, billed as the first of its kind to truly mash up music, video games and esports culture. The Metarama Gaming Music Festival, to take place Oct. 19-20 at the Las Vegas Festival Grounds, will feature musical artists such as Snoop Dogg, rappers Lil Yachty and Logic, pro gamers including Ninja and NickMercs, superstar DJ Alan Walker, and top game streamers such as DrLupo, Jacksepticeye, Pokimane and Sodapoppin.

To be sure, recent history reminds us that many big Facebook announcements never really take off. Two years ago, for instance, Facebook CEO Mark Zuckerberg promised that "augmented reality," in which phones and other devices project digital images into real-world surroundings, would be a major focus for the company. Such AR applications remain all but invisible today. Same goes for the online shopping chatbots that Zuckerberg unveiled a year earlier, saying they would revolutionize e-commerce in its Messenger app.

The recommendation system they designed has two stages. Candidate generation network takes events from users YouTube history. This can only provide broad personalization using collaborative filtering. These users are then compared by identifiers such as the number of videos watched, demographic information and search query tokens. The ranking network operates a little differently.

One of the biggest problems in media today is so-called "fake news," which is so highly pernicious in part because it superficially resembles the real thing. AI tools promise to help identify it, but in order for it to do so, researchers have found that the best way is for that AI to learn to create fake news itself -- a double-edged sword, though perhaps not as dangerous as it sounds. Grover is a new system created by the University of Washington and Allen Institute for AI (AI2) computer scientists that is extremely adept at writing convincing fake news on myriad topics and as many styles -- and as a direct consequence is also no slouch at spotting it. The paper describing the model is available here. The idea of a fake news generator isn't new -- in fact, OpenAI made a splash recently by announcing that its own text-generating AI was too dangerous to release publicly. But Grover's creators believe we'll only get better at fighting generated fake news by putting the tools to create it out there to be studied.

Dublin, May 14, 2019 (GLOBE NEWSWIRE) -- The "Chatbot Market to 2027 - Global Analysis and Forecasts by Component, Deployment, and Usage End-user" report has been added to ResearchAndMarkets.com's offering. The global Chabot market accounted to US$ 1072.4 Mn in 2018 and is expected to grow at a CAGR of 27.9% during the forecast period 2019 - 2027, to account to US$ 9475.1 Mn by 2027. Chabot vendors are offering virtual assistance capabilities due to factors such as faster response, reduced manpower, cost-efficient, and others. Most of the smartphone and tablet users are using virtual assistants to make the functionality of devices much easier.

Content discovery, writing, editing, SEO, content distribution, and data analysis are some of the operations that you can automate with AI. Find out five great tools to improve and speed-up your content marketing workflow. What can you do today? In this article, you'll find out which tools can help you create more value, speed-up your operations, promote your content. Narratives about AI go from dystopia--robots will take over human work--to the dream of maximizing outcomes.

In this paper, we learn disentangled representations of timbre and pitch for musical instrument sounds. We adapt a framework based on variational autoencoders with Gaussian mixture latent distributions. Specifically, we use two separate encoders to learn distinct latent spaces for timbre and pitch, which form Gaussian mixture components representing instrument identity and pitch, respectively. For reconstruction, latent variables of timbre and pitch are sampled from corresponding mixture components, and are concatenated as the input to a decoder. We show the model efficacy by latent space visualization, and a quantitative analysis indicates the discriminability of these spaces, even with a limited number of instrument labels for training. The model allows for controllable synthesis of selected instrument sounds by sampling from the latent spaces. To evaluate this, we trained instrument and pitch classifiers using original labeled data. These classifiers achieve high accuracy when tested on our synthesized sounds, which verifies the model performance of controllable realistic timbre and pitch synthesis. Our model also enables timbre transfer between multiple instruments, with a single autoencoder architecture, which is evaluated by measuring the shift in posterior of instrument classification. Our in depth evaluation confirms the model ability to successfully disentangle timbre and pitch.

Following the attacks in Christchurch, New Zealand, in March, social media companies have once again come under growing pressure to "do …

Artificially intelligent systems are slowly taking over tasks previously done by humans, and many processes involving repetitive, simple movements have already been fully automated. In the meantime, humans continue to be superior when it comes to abstract and creative tasks. However, it seems like even when it comes to creativity, we're now being challenged by our own creations. In the last few years, we've seen the emergence of hundreds of "AI artists." These complex algorithms are creating unique (and sometimes eerie) works of art.

The digital video company, which split from Baidu (BIDU), has been seeing losses since going public in the US last March. In this year's first quarter, the company's net loss jumped year-over-year to $270.3 million from $63.1 million as operating costs soared. In contrast, Tencent (TCEHY) made a profit of $4.1 billion in the first quarter, and Tencent Music (TME), a digital music company that split from Tencent and went public in December, posted a profit of $147 million. Chinese e-commerce leader Alibaba (BABA), into the movie and video streaming business through its Alibaba Pictures and Youku units, made a profit of $3.8 billion in the first quarter, and Netflix (NFLX) and Amazon (AMZN) made profits of $344 million and $3.6 billion, respectively. Amazon is also into video streaming, although its main operations are e-commerce.