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Abstract: As the intelligence of everyday smart devices continues to evolve, they can already monitor basic health behaviors such as physical activities and heart rates. The vision of an intelligent […]
Abstract: "Modern database systems aim to support a large class of different use cases while simultaneously achieving high performance. However, as a result of their generality, databases often achieve adequate […]
HDSI! Come and join MathWorks Engineers for a technical seminar on AI (and lunch!) on Wednesday, April 3! Come learn why data scientists should learn MATLAB – we will highlight […]
Abstract: "In biomedical data analysis, an emerging trend focuses on contextualizing observations within biological and real-world processes. This approach facilitates high-resolution, context-specific insights by integrating information across datasets, but it […]
Abstract: "Effective communication is crucial in healthcare for ensuring successful clinical interactions, as it affects how patients respond, the decisions being made by both patients and clinicians, and the outcomes […]
Abstract: Images are everywhere, especially images of the real world, and visual computing is important both for reconstructing useful models from these images and for providing us humans with interactive […]
Abstract: In this talk, I will present my work on developing and responsibly deploying generative AI systems that unlock and augment human creative potential in music. While we all possess […]
Transformers learn in-context by (functional) gradient descent Xiang Cheng, TILOS Postdoctoral Scholar at MIT HDSI 123 and Zoom: https://ucsd.zoom.us/j/99334315002 Abstract: Motivated by the in-context learning phenomenon, we investigate how the Transformer neural […]
