Facebook says it's using AI to prioritize potentially problematic posts for human moderators to review as it works to more quickly remove content that violates its community guidelines. The social media giant previously leveraged machine learning models to proactively take down low-priority content and left high-priority content reported by users to human reviewers. But Facebook claims it now combines content identified by users and models into a single collection before filtering, ranking, and deduplicating it and handing it off to thousands of moderators, many of whom are contract employees. Facebook's continued investment in moderation comes as reports suggest the company is failing to stem the spread of misinformation, disinformation, and hate speech on its platform. Reuters recently found over three dozen pages and groups that featured discriminatory language about Rohingya refugees and undocumented migrants.

Artificial intelligence is revolutionizing various industries, markets, and services. However, the creative industries and the art world have not yet been able to use the full potential of this technology. However, two Chilean entrepreneurs devised a platform to go further. Using the latest technology, they allow creators, amateur filmmakers, visual artists, even the film and music industry to use artificial intelligence algorithms in their work. This is Runway, a platform that integrates machine learning and artificial intelligence to the world of art and creativity.

Academics at UCL and other institutions have collaborated to develop a machine learning tool that identifies new domains created to promote false information so that they can be stopped before fake news can be spread through social media and online channels. To counter the proliferation of false information it is important to move fast, before the creators of the information begin to post and broadcast false information across multiple channels. Anil R. Doshi, Assistant Professor for the UCL School of Management, and his fellow academics set out to develop an early detection system to highlight domains that were most likely to be bad actors. Details contained in the registration information, for example, whether the registering party is kept private, are used to identify the sites. Doshi commented: "Many models that predict false information use the content of articles or behaviours on social media channels to make their predictions. By the time that data is available, it may be too late. These producers are nimble and we need a way to identify them early. "By using domain registration data, we can provide an early warning system using data that is arguably difficult for the actors to manipulate.

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CMR recently introduced new title on "2020-2026 Global Artificial Intelligence (AI) Chips Market Report" from its database.