AI

LLMs factor in unrelated information when recommending medical treatments

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers. They found that making stylistic or grammatical changes to messages increases

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Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administered by the MIT Stephen A. Schwarzman College of Computing, issued a call for proposals, inviting researchers from across MIT to submit ideas for innovative projects studying high-impact uses of

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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be

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Building trust in AI: The AWS approach to the EU AI Act

As AI adoption accelerates and reshapes our future, organizations are adapting to evolving regulatory frameworks. In our report commissioned to Strand Partners, Unlocking Europe’s AI Potential in the Digital Decade 2025, 68% of European businesses surveyed underlined that they struggle to understand their responsibilities under the EU AI Act. European businesses also highlighted that an

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