![]() “I think that’s the key thing that is making us grow so fast from an AI perspective.” “Anyone who, before Synthesia, could produce a slide deck or write a Word document can now actually create video content,” said Riparbelli. Rather than seeing tons of usage from video production departments, other folks inside the organization are the power users of the tool. Interestingly, founder Victor Riparbelli () said that user behavior didn’t necessarily match up to his earlier expectations. These customers predominantly use the tool for training videos, it said, but also use Synthesia for monthly updates to the broader team or delivering information that would normally come via email. The startup, aware of the fact that almost any powerful tool on the internet can be used for evil, is focusing exclusively on enterprise clients, rather than allowing anyone and everyone to hop on the platform. Users can also upload a recording of their voice which can be transformed to say just about anything under the sun. Customers can leverage existing avatars, created from the performance of actors, or create their own in minutes by uploading some video. Synthesia allows anyone to turn text or a slide deck presentation into a video, complete with a talking avatar. Today, it announced the close of a $50 million Series B funding round led by Kleiner Perkins, with participation from GV and existing investors Firstmark Capital, LDV Capital, Seedcamp and MMC Ventures. In this tutorial, you'll learn about a new method of analyzing voter fraud disinformation by estimating causal effect with text as treatment and confounder.Synthesia (), a startup using AI to create synthetic videos, is walking a fine, but thus far prosperous, line between being creepy and being pretty freakin’ cool. Let's find out how different they are, with pros and cons for each. XGBoost and LightGBM are two of the most popular algorithms that are based on Gradient Boosted Machines. XGBoost vs LightGBM: How Are They Different Eight awesome and detailed tips to help you solve the problem in the bud. In this Q&A, you'll learn what to do if you have a model in production, and the data is drifting. How to Handle ML Model Drift in Production ![]() Suki, the leader in voice AI technology for healthcare, raises $55M in a Series C funding round led by March Capital.Synthesia, a company leveraging AI to generate videos of avatars, closes a $50M Series B round led by Kleiner Perkins.NewtonX, the leading B2B market research and intelligence company, raises $32M in a Series B funding round led by Marbruck Investments.Molecules are represented as small graphs. MIT researchers have created a DL model that predicts the 3D shapes of a molecule solely based on a graph in 2D of its molecular structure.It has learned 6,500 times more Korean data than GPT-3 and contains 204 billion parameters. Naver has announced the release of HyperCLOVA, one of the largest AI language models.New Relic has announced a solution to monitor the performance and accuracy of ML models in real-time by extending the capabilities of its flagship observability platform - New Relic One.DeepMind has created a system called Player of Games that can perform well at both perfect information games as well as imperfect information games.Was it anything interesting? Yes and no! But AWS for sure did its best to release a range of products to strengthen its suite of AI/ML services. About 20% of tech leaders say that AI and machine learning, cloud computing, and 5G will be the most important technologies next year.The most powerful NLP model and the latest from AI in physics. AWS re:Invent 2021 - Anything interesting? News on DeepMind's AI.
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