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MIT publishes white papers to guide AI governance

AI News

A committee of MIT leaders and scholars has published a series of white papers aiming to shape the future of AI governance in the US. AI Governance: Creating a Safe and Thriving AI Sector,” the main policy paper proposes leveraging current US government entities to regulate AI tools within their respective domains.

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How Educators Are Leading the Future of Learning With AI Initiatives

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Fellow educator Bill Johnson added, AI sparks conversations and ideas that lead to creative, engaging performance tasks, which bring excitement and energy to the classroom. While brainstorming, they used an AI tool to explore ways to combine physics and history.

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LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs

Marktechpost

Similarly, ONNX provides an open-source format for AI models, both deep learning and traditional ML, with a current focus on the capabilities needed for inferencing. ONNX can be found in many frameworks, tools, and hardware and aims to enable interoperability between different frameworks. for the latest white paper and blogs.

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Embedding secure generative AI in mission-critical public safety applications

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Mark43 , a public safety technology company, recognized this challenge and embedded generative artificial intelligence (AI) capabilities into their application using Amazon Q Business to transform how law enforcement agencies interact with their mission-critical applications.