They often use machine learning algorithms to analyze and learn from data to identify patterns, make predictions, and improve performance over time. Machine learning algorithms are basically what make artificial intelligence work the way it does. Make professional videos with limited experience Some applications of AI tools for social media The London, U.K.-based company has 30 employees, and its total raised is now over $16.6 million.Great for music hobbyists and professionals Synthesia’s series A funding round announced today was led by FirstMark Capital, with participation from Christian Bach Michael Buckley and existing investors, including Mark Cuban. “We are not releasing any software to the public … There is a wider discussion to be had about the malevolent use of this kind of stuff.” “We are trying to solve a very complex and technical problem,” Riparbelli recently told the Telegraph. It also requires formal consent from a person before it will synthesize their appearance and refuses to touch political content. Deepfakes have already been abused to generate pornographic material of actors and defraud a major energy producer.įor its part, Synthesia has posted ethics rules online and says it vets its customers and their scripts. The fear is that these fakes might be used to do things like sway opinion during an election or implicate a person in a crime. Some experts have expressed concern that tools like Synthesia’s could be used to create deepfakes, or AI-generated videos that take a person in an existing video and replace them with someone else’s likeness. But now we are seeing more and more companies starting to use it for external communications, incorporating personalized video into every step of the customer journey through our personalized video API.” Deepfake concerns “They use Synthesa primarily for internal training and corporate communications. “We have been overwhelmed by the response in the last six months since our beta launch: We now have thousands of users, and our customers range from small agencies to Fortune 500 companies,” Riparbelli said. It’s called Personalize, and Synthesia says it can automatically translate videos featuring actors or staff members into over 40 languages. In the near future, Synthesia plans to make generally available a product that personalizes videos to specific customer segments. We launched our software-as-a-service product just six months ago … have essentially reduced the entire video production process to a single API call or a few clicks in our web app.” Once video production is abstracted away as code, it has all the benefits of software: infinite scale, close to zero marginal costs, and it can be made accessible to everyone,” Riparbelli said. “We’re building an application layer that turns code into video, allowing for video content to be programmed with computers rather than recorded with cameras and microphones. And it partnered with Reuters to develop a prototype for automated video sport reports. The company also worked with director Ridley Scott’s production studio to create a film for the nonprofit Malaria Must Die, which translated David Beckham’s voice into over nine languages. Synthesia says that client CraftWW used its platform to ideate an advertising campaign for JustEat in the Australian market featuring an AI-manipulated Snoop Dogg. Synthesia’s technology can pare the expenses down to a lump sum of around $100,000.Ībove: Synthesia’s technology analyzes and manipulates facial features to match written or recorded speech. According to Dogtown Media, an education campaign under normal circumstances might require as many as 20 different scripts to address a business’ worldwide workforce, with each video costing tens of thousands of dollars. After typing or pasting in a video script, Synthesia generates a video “in minutes,” making it available for translation into dozens of languages.Īs pandemic restrictions make conventional filming tricky and risky, the benefits of AI-generated video have been magnified. Synthesia customers choose from a gallery of in-house, AI-generated presenters or create their own by recording voice clips and then uploading them. “To truly realize the video-first internet, we need a more scalable and accessible way to make video.” It’s an incredibly long and multidisciplinary process, rooted in physical space and sensors,” Riparbelli continued. It requires studios, actors, cameras, and post-production. “Today, video production is costly, complex, and unscalable.
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