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Racing into the future: How AWS DeepRacer fueled my AI and ML journey

AWS Machine Learning Blog

In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer —a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). seconds, securing the 2018 AWS DeepRacer grand champion title!

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AWS DeepRacer: How to master physical racing?

AWS Machine Learning Blog

In this blog post, I will look at what makes physical AWS DeepRacer racing—a real car on a real track—different to racing in the virtual world—a model in a simulated 3D environment. The AWS DeepRacer League is wrapping up. The original AWS DeepRacer, without modifications, has a smaller speed range of about 2 meters per second.

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AWS DeepRacer enables builders of all skill levels to upskill and get started with machine learning

AWS Machine Learning Blog

In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamentals.

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AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?

AWS Machine Learning Blog

Having spent the last years studying the art of AWS DeepRacer in the physical world, the author went to AWS re:Invent 2024. In AWS DeepRacer: How to master physical racing? , I wrote in detail about some aspects relevant to racing AWS DeepRacer in the physical world. How did it go?

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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

Challenges in deploying advanced ML models in healthcare Rad AI, being an AI-first company, integrates machine learning (ML) models across various functions—from product development to customer success, from novel research to internal applications. AI models are ubiquitous within Rad AI, enhancing multiple facets of the organization.

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Revolutionizing earth observation with geospatial foundation models on AWS

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It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. Lets dive in!

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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning Blog

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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