AI

Building an understanding of how drivers interact with emerging vehicle technologies

As the global conversation around assisted and automated vehicles (AVs) evolves, the MIT Advanced Vehicle Technology (AVT) Consortium continues to lead cutting-edge research aimed at understanding how drivers interact with emerging vehicle technologies.  Since its launch in 2015, the AVT Consortium — a global academic-industry collaboration on developing a data-driven understanding of how drivers respond […]

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use

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Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. With

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Amazon Bedrock Flows is now generally available with enhanced safety and traceability

Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Seamless integration of latest foundation models (FMs), Prompts,

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Implement secure API access to your Amazon Q Business applications with IAM federation user access management

Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a

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MIT researchers develop an efficient way to train more reliable AI agents

Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds. For example, using an AI system to intelligently control traffic in a congested city could help motorists reach their destinations faster, while improving safety or sustainability. Unfortunately, teaching an AI system to make

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