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Tag: aws re:Invent

Saving time with personalized videos using AWS machine learning

CLIPr aspires to help save 1 billion hours of people’s time. We organize video into a first-class, searchable data source that unlocks the...

Artificial intelligence and machine learning continues at AWS re:Invent

A fresh new year is here, and we wish you all a wonderful 2021. We signed off last year at AWS re:Invent on...

AWS DeepRacer League announces 2020 Championship Cup winner Po-Chun Hsu of Taiwan

AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by...

Identifying training bottlenecks and system resource under-utilization with Amazon SageMaker Debugger

At AWS re:Invent 2020, AWS released the profiling functionality for Amazon SageMaker Debugger. In this post, we expand on the importance of profiling...

AWS and NVIDIA achieve the fastest training times for Mask R-CNN and T5-3B

Note: At the AWS re:Invent Machine Learning Keynote we announced performance records for T5-3B and Mask-RCNN. This blog post includes updated numbers with...

Model dynamism Support in Amazon SageMaker Neo

Amazon SageMaker Neo was launched at AWS re:Invent 2018. It made notable performance improvement on models with statically known input and output data...

AWS announces SageMaker Clarify to help reduce bias in machine learning models

As companies rely increasingly on machine learning models to run their businesses, it’s imperative to include anti-bias measures to ensure these models are...

Join the Final Lap of the 2020 DeepRacer League at AWS re:Invent 2020

AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by...

Announcing the AWS DeepComposer Chartbusters challenge, Keep Calm and Model On

We are back with another AWS DeepComposer Chartbusters challenge, Keep Calm and Model On! This challenge is open for submissions throughout AWS re:Invent...

Deploying reinforcement learning in production using Ray and Amazon SageMaker

Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched...

Serving PyTorch models in production with the Amazon SageMaker native TorchServe integration

In April 2020, AWS and Facebook announced the launch of TorchServe to allow researches and machine learning (ML) developers from the PyTorch community...

Learn from the first place winner of the first AWS DeepComposer Chartbusters Bach to the Future Challenge

AWS is excited to announce the winner of the first AWS DeepComposer Chartbusters Challenge, Catherine Chui. AWS DeepComposer gives developers a creative way...

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