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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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11 most in-demand gen AI jobs companies are hiring for

CIO

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

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Deepdub raises $20M for AI-powered dubbing that uses actors’ original voices

TechCrunch

The company was founded in 2019 by two brothers, Ofir and Nir Krakowski , whose backgrounds included machine learning and AI expertise. But Deepdub’s use of AI and machine learning is what makes it a unique solution in this space.

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VFX artists show that Hollywood can use AI to create, not exploit

TechCrunch

Hollywood may be embroiled in ongoing labor disputes that involve AI, but the technology infiltrated film and TV long, long ago. At SIGGRAPH in LA, algorithmic and generative tools were on display in countless talks and announcements. We may not know where the likes of GPT-4 and Stable Diffusion …

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Annotell raises $24M for tech that tests autonomous vehicle perception systems to improve how they work

TechCrunch

The gap in the market that Annotell is looking to fill is a pretty critical one: autonomous systems are built on huge troves of driving data and machine learning used to process that information to “teach” those platforms the basics of driving. We also take that seriously. That’s why we wanted to focus on the problem.”

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Papercup raises $20M for AI that automatically dubs videos

TechCrunch

Dubbing is a lucrative market, with Verified Market Research predicting that film dubbing services alone could generate $3.6 Founded in 2017 by Shemen and Jiameng Gao, Papercup offers an AI-powered dubbing solution that identities human voices in a target film or show and generates dubs in a new language. billion annually by 2027.

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