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Towards ML-enabled cleaning robots

Google Research AI blog

Combining the strengths of RL and of optimal control We propose an end-to-end approach for table wiping that consists of four components: (1) sensing the environment, (2) planning high-level wiping waypoints with RL, (3) computing trajectories for the whole-body system (i.e.,

ML 94
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

ML 98
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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning Blog

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

AWS 85
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms. In this section, we briefly introduce the system architecture.

AWS 88
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This AI newsletter is all you need (#36)

Towards AI

The technology behind GitHub’s new code search This post provides a high-level explanation of the inner workings of GitHub’s new code search and offers a glimpse into the system architecture and technical underpinnings of the product.

AI 94
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A Guide to LLMOps: Large Language Model Operations

Heartbeat

" The LLMOps Steps LLMs, sophisticated artificial intelligence (AI) systems trained on enormous text and code datasets, have changed the game in various fields, from natural language processing to content generation. Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.