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Metrics for evaluating content moderation in Amazon Rekognition and other content moderation services

Content moderation is the process of screening and monitoring user-generated content online. To provide a safe environment for both users…

3 years ago

Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

Face-off Probability is the National Hockey League’s (NHL) first advanced statistic using machine learning (ML) and artificial intelligence. It uses…

3 years ago

Researchers Use AI to Help Earbud Users Mute Background Noise

Thanks to earbuds, people can take calls anywhere, while doing anything. The problem: those on the other end of the…

3 years ago

AI Esperanto: Large Language Models Read Data With NVIDIA Triton

Julien Salinas wears many hats. He’s an entrepreneur, software developer and, until lately, a volunteer fireman in his mountain village…

3 years ago

AI Governance: Break open the black box

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an…

3 years ago

Large Motion Frame Interpolation

Posted by Fitsum Reda and Janne Kontkanen, Google Research Frame interpolation is the process of synthesizing in-between images from a…

3 years ago

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

Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from…

3 years ago

Reduce cost and development time with Amazon SageMaker Pipelines local mode

Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing…

3 years ago

Searidge Technologies Offers a Safety Net for Airports

Planes taxiing for long periods due to ground traffic — or circling the airport while awaiting clearance to land —…

3 years ago

Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss

A central issue in machine learning is how to train models on sensitive user data. Industry has widely adopted a…

3 years ago