Audience: Prospective Students
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Briden, M. (CSE) – Representation Learning and Generative Forecasting for Noisy and Limited Clinical Data: Applications in Wound Healing and EEG
The rapid integration of artificial intelligence and machine learning into clinical practice has driven advances in disease classification, segmentation, and clinical decision support. However, the complexities of medical data pose […]
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Vats, V. (CSE) – Learning to Remember: Multi-Agent Self-Refinement toward Persistent Machine Perception
Modern machine perception is powerful yet brittle: failing in response to subtle data adversaries and lacking mechanisms to learn from their errors. We address this challenge by progressing from diagnosing […]
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Moreland, Z. (AM) – Transcriptomic and Computational Analysis of Burn and Excisional Wound Healing
Accurate assessment of wound healing progress is critical for optimizing patient care and preventing complications, yet clinicians currently lack precise tools to determine where a wound stands in the healing […]
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Mawhorter, R. (CSE) – Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation
Program verification has been applied in many contexts (including videogames), but the scale and complexity of the examples that have been analyzed fall short of the ability to analyze many […]
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Model Context Protocol: Why It Matters
The Impact of Model Context Protocol Join us for an engaging exploration of the Model Context Protocol—a groundbreaking framework designed to improve communication and context-sharing across AI agents. As AI […]
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Asefi, N. (ECE) – Generative Lagrangian Data Assimilation for Ocean Dynamics under Extreme Sparsity
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges […]
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Ghosh, S. (CMPM) – Scientific Sensemaking with Spatial Data in Collaborative Virtual Reality
Collaborative virtual reality environments have the potential to greatly impact scientific progress, especially those relating to existential human problems. Within these virtual environments, scientists could view and interact with spatial […]
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Montenegro, C. (ECE) – Control of Uncertain Hybrid Systems
Machine learning endows autonomous systems to uncover underlying structures and physical laws from measured data and to leverage these models for prediction and decision-making. As the costs of data acquisition, […]
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Interested in a paralegal career?
You are invited to join a free, online informational session to learn more about the Center for Legal Studies Paralegal Certificate Course©, a professional education program taught through the UCSC […]
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Vera-Choqqueccota, S. (BMEB) – A CRISPRi-Based platform for multimodal functional analysis of neurodevelopmental and neuropsychiatric disorders risk genes in engineered mouse cortical neurons
Neurodevelopmental and neuropsychiatric disorders (NPDs), such as autism spectrum disorder and schizophrenia, are among the most heritable yet mechanistically complex conditions. While large-scale genomic studies have identified hundreds of high-confidence […]