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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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Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning - AI

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. Use case 1: Carousel titles for movie collections A micro-genre is a specialized subcategory within a broader genre of film, music, or other forms of media.

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Businesses including Stitch Fix are already experimenting with DALL-E 2

TechCrunch

Jacob Martin, a software engineer, used DALL-E 2 to create a logo for OctoSQL , an open source project he’s developing. But several DALL-E 2 business users say they’ve wielded the system to generate assets that don’t bear the telltale signs of AI constraints. It’s likely a harbinger of applications to come.

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D&I lessons to learn from top global organizations

Hacker Earth Developers Blog

Also, at Accelerate with Google , the organization “open sources” research, best practices, and guidance on inclusive design. For instance, for Pride 2018, AMazon featured more than 60 official feature films from the Outfest LGBTQ film festivals on Prime Video. Lesson 4: Embed diversity with smart HR analytics .

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ApacheCon Berlin, 22-24 October 2019

Instaclustr

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 39
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ApacheCon Berlin, 22-24 October 2019

Instaclustr

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 36