AudioLM: a Language Modeling Approach to Audio Generation

Favorite Posted by Zalán Borsos, Research Software Engineer, and Neil Zeghidour, Research Scientist, Google Research Generating realistic audio requires modeling information represented at different scales. For example, just as music builds complex musical phrases from individual notes, speech combines temporally local structures, such as phonemes or syllables, into words and

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Shared by Google AI Technology October 6, 2022

InformedIQ automates verifications for Origence’s auto lending using machine learning

Favorite This post was co-written with Robert Berger and Adine Deford from InformedIQ. InformedIQ is the leader in AI-based software used by the nation’s largest financial institutions to automate loan processing verifications and consumer credit applications in real time per the lenders’ policies. They improve regulatory compliance, reduce cost, and

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Shared by AWS Machine Learning October 6, 2022

How Synamedia uses Amazon Rekognition Video to build advanced video search capabilities for long-form video

Favorite Synamedia is a leading video technology provider addressing the needs for premium video service providers and direct-to-consumer (D2C) with a comprehensive solution portfolio. Synamedia solutions spread across several pillars such as video networks, TV platforms, advertisement and monetization, and content protection and piracy disruption. Synamedia partnered with AWS to

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Shared by AWS Machine Learning October 6, 2022

Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

Favorite Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. Due to the breadth and depth of data being ingested from multiple sources,

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Shared by AWS Machine Learning October 5, 2022

Large Motion Frame Interpolation

Favorite Posted by Fitsum Reda and Janne Kontkanen, Google Research Frame interpolation is the process of synthesizing in-between images from a given set of images. The technique is often used for temporal up-sampling to increase the refresh rate of videos or to create slow motion effects. Nowadays, with digital cameras

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Shared by Google AI Technology October 4, 2022

Create high-quality data for ML models with Amazon SageMaker Ground Truth

Favorite Machine learning (ML) has improved business across industries in recent years—from the recommendation system on your Prime Video account, to document summarization and efficient search with Alexa’s voice assistance. However, the question remains of how to incorporate this technology into your business. Unlike traditional rule-based methods, ML automatically infers

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Shared by AWS Machine Learning October 4, 2022