AI

How Tata Power CoE built a scalable AI-powered solar panel inspection solution with Amazon SageMaker AI and Amazon Bedrock

This post is co-written with Vikram Bansal from Tata Power, and Gaurav Kankaria, Omkar Dhavalikar from Oneture. The global adoption of solar energy is rapidly increasing as organizations and individuals transition to renewable energy sources. India is on the brink of a solar energy revolution, with a national goal to empower 10 million households with […]

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Unlocking video understanding with TwelveLabs Marengo on Amazon Bedrock

Media and entertainment, advertising, education, and enterprise training content combines visual, audio, and motion elements to tell stories and convey information, making it far more complex than text where individual words have clear meanings. This creates unique challenges for AI systems that need to understand video content. Video content is multidimensional, combining visual elements (scenes,

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“Robot, make me a chair”

Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don’t lend themselves to brainstorming or rapid prototyping. In an effort to make design faster and more

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3 Questions: Using computation to study the world’s best single-celled chemists

Today, out of an estimated 1 trillion species on Earth, 99.999 percent are considered microbial — bacteria, archaea, viruses, and single-celled eukaryotes. For much of our planet’s history, microbes ruled the Earth, able to live and thrive in the most extreme of environments. Researchers have only just begun in the last few decades to contend

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3 Questions: Using computation to study the world’s best single-celled chemists

Today, out of an estimated 1 trillion species on Earth, 99.999 percent are considered microbial — bacteria, archaea, viruses, and single-celled eukaryotes. For much of our planet’s history, microbes ruled the Earth, able to live and thrive in the most extreme of environments. Researchers have only just begun in the last few decades to contend

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Checkpointless training on Amazon SageMaker HyperPod: Production-scale training with faster fault recovery

Foundation model training has reached an inflection point where traditional checkpoint-based recovery methods are becoming a bottleneck to efficiency and cost-effectiveness. As models grow to trillions of parameters and training clusters expand to thousands of AI accelerators, even minor disruptions can result in significant costs and delays. In this post, we introduce checkpointless training on

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