EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning

This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in human-like non-verbal communication. Non-verbal cues such as facial expressions, gestures, and body movements play a crucial role in effective interpersonal interactions. Despite the advancements in robotic behaviors, existing methods often fall short in mimicking …

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How Palantir Secures Source Control

How Palantir Secures Source Control (Software Supply Chain Security Series, #3) Editor’s Note: This is the third post in a series that shares insights from our journey improving our software supply chain security story across Palantir. This post focuses on our source control risk considerations and mitigations. Zero-Trust Development Software developers have many workflows for developing …

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Security best practices to consider while fine-tuning models in Amazon Bedrock

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. With the comprehensive capabilities of Amazon Bedrock, you have access to a diverse range of …

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Introducing agent evaluation in Vertex AI Gen AI evaluation service

Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why” behind an agent’s actions – its reasoning, decision-making process, and the path it takes to reach a solution. That’s why today, we’re thrilled to announce Vertex AI Gen …

AI Maps Titan’s Methane Clouds in Record Time

Methane clouds on Titan, Saturn’s largest moon, are more than just a celestial oddity — they’re a window into one of the solar system’s most complex climates. Until now, mapping them has been slow and grueling work. Enter AI: a team from NASA, UC Berkeley and France’s Observatoire des Sciences de l’Univers just changed the …

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Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach

Attaching a custom Docker image to an Amazon SageMaker Studio domain involves several steps. First, you need to build and push the image to Amazon Elastic Container Registry (Amazon ECR). You also need to make sure that the Amazon SageMaker domain execution role has the necessary permissions to pull the image from Amazon ECR. After …

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How L’Oréal Tech Accelerator built its end-to-end MLOps platform

Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible beauty accessible to all, under the banner “Beauty for Each, powered by Beauty Tech.”  This convergence of Beauty …

Mapping Cells Through Time and Space With Moscot

Single-cell genomics technologies enable multimodal profiling of millions of cells across temporal and spatial dimensions. Experimental limitations prevent the measurement of all-encompassing cellular states in their native temporal dynamics or spatial tissue niche. Optimal transport theory has emerged as a powerful tool to overcome such constraints, enabling the recovery of the original cellular context. However, …

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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS. With Flows, you …

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Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas

Businesses today deal with a reality that is increasingly complex and volatile. Companies across retail, manufacturing, healthcare, and other sectors face pressing challenges in accurate planning and forecasting. Predicting future inventory needs, setting achievable strategic goals, and budgeting effectively involve grappling with ever-changing consumer demand and global market forces. Inventory shortages, surpluses, and unmet customer …