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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. But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Introducing Amazon SageMaker partner AI apps Today, we’re excited to announce that AI apps from AWS Partners are now available in SageMaker. Streamlined access Use AWS credits to use partner apps without navigating lengthy procurement or approval processes, accelerating adoption and scaling of AI observability.

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Arm's Neoverse V2, in AWS's Graviton 4

Hacker News

Amazon Web Services (AWS) is the largest cloud provider, and an early Arm server adopter. AWS started investing into the Arm server ecosystem in 2018 with Graviton 1, which used 16 Cortex A72 cores. Three generations later, AWS's Graviton 4 packs 96 Neoverse V2 cores.

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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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Racing beyond DeepRacer: Debut of the AWS LLM League

AWS Machine Learning Blog

The AWS DeepRacer League is the worlds first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the hands of every developer through the fun and excitement of developing and racing self-driving remote control cars. Response quality : Depth, accuracy, and contextual understanding.

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Why Fugaku, Japan’s fastest supercomputer, went virtual on AWS

Hacker News

Now, the researchers behind one of the world’s fastest supercomputers, Fugaku , are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Dr. Matsuoka at AWS re:Invent 2023, where he held a session on Virtual Fugaku, a replication of the original environment on AWS.

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Revolutionizing earth observation with geospatial foundation models on AWS

Flipboard

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

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