MIT researchers advance automated interpretability in AI models
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
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MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
This book, "Generative AI for Customer Experience: Practical Explanations and Applications," is a must-read for anyone looking to understand and implement artificial intelligence in the field of customer experience. With…
Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering…
If you're a beginner interested in diving into the world of generative AI, "The Art of Generative AI for Beginners" is the perfect crash course for you. This book will…
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An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
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