ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments. To address this, we introduce ARMOR, a novel egocentric perception system that integrates both hardware and software, specifically incorporating wearable-like depth sensors for humanoid robots. Our distributed perception approach enhances the robot’s spatial awareness, and …

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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

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AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down …

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Operationalizing generative AI apps with Apigee

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Generative AI is now well  beyond the hype and into the realm of practical application. But while organizations are eager to build enterprise-ready gen AI solutions on top of large language models (LLMs), they face challenges in managing, securing, and scaling these deployments, especially when it comes to APIs. As part of the platform team, …

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Findings of the IWSLT 2024 Evaluation Campaign

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Ibrahim Said Ahmad†, Antonios Anastasopoulos††††, Ondřej Bojar¶, Claudia Borg††, Marine Carpuat‡, Roldano Cattoni§, Mauro Cettolo§, William Chen‡‡, Qianqian Dong¶¶, Marcello Federico§§, Barry Haddow‡‡‡, Dávid Javorsky¶, Mateusz Krubiński¶, Tsz Kin Lam‡‡‡, Xutai Ma‡‡§, Prashant Mathur§§, Evgeny Matusov¶¶¶, Chandresh Kumar Maurya¶¶†, John P. McCrae†††, Kenton Murray†††, Satoshi Nakamura§§§, Matteo Negri§, Jan Niehues††¶, Xing Niu§§, Atul Kr. Ojha†††, …

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Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary. Amazon Bedrock provides you with the …

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