Explore how to lead with AI—whether you want to build it or apply it. In this information session, discover two dynamic pathways: AI Business Practices, for professionals seeking practical AI tools […]
First Saturday Tours are a wonderful way to introduce yourself to the Arboretum or to deepen your knowledge of the Arboretum’s plant collections. Each tour is a little different depending on the time of year, the interests of the tour guide, and the people who join in. For example, you might learn about the birds […]
Spatially dependent data are common in environmental and climate studies, where Gaussian process models are used for prediction and uncertainty quantification. Learning their covariance structure involves both statistical and computational challenges. Likelihood-based inference may be sensitive to covariance misspecification, while repeated evaluation of prediction-oriented criteria can be computationally demanding. To study these issues, we develop […]
Understanding neuronal function requires measurements that capture both the rapid dynamics and spatial organization of neural activity. Conventional neural interfaces often prioritize either high temporal resolution through electrophysiological recording or […]
Multivariate dependent discrete data routinely arise in microbiome studies. Analyzing these data presents interesting statistical challenges, such as high dimensionality, excess zeros, large heterogeneity across samples, and temporal dependence in longitudinal studies. Drawing inferences about objects of primary scientific interest—such as temporal trajectories of microbial abundance, microbial interactions, clusters of microbes similarly associated with environmental […]
Coherent wireless reception depends on accurate channel state information (CSI), yet acquiring CSI through pilot transmission consumes time–frequency resources that could otherwise carry data. This tradeoff becomes more pronounced in […]
Artificial intelligence and machine learning models depend on large and diverse datasets to learn patterns across different situations and generalize to cases they have not seen before. In cybersecurity, suitable data is difficult to find for two main reasons: first, sensitive information limits what organizations can share; second, public datasets often lack the coverage or […]
The separation of memory and processing in conventional computer architectures leads to significant energy consumption associated with data transfer, known as the von Neumann bottleneck. Two-dimensional (2D) materials provide a promising platform for developing nanoscale memory devices for in-memory and neuromorphic computing because of their atomic-scale thickness, lack of dangling bonds, and ability to form […]
Slime is on Their Side: Celebrating 40 (Official) Years of the UCSC Banana Slug Mascot While rumors and stories abound about the sea lion vs. banana slug controversy of the […]
Aluminum and silver are excellent metal-bases for astronomical telescopes designed for broadband spectral measurements. In particular silver excels in the violet to infrared spectral range range with over 95% reflectance. In turn aluminum excels deep ultra-violet to infrared with over 90% reflectance across the bulk of its spectral range. In astronomical telescope optics, each percent […]
Join UC Santa Cruz Healthcare Pathways for a live online information session to learn about our Premed Postbacc Cohort, Premed and Pre-Health DIY Pathways, and other program offerings. We’ll provide an overview […]
Nonsense-mediated mRNA decay (NMD) is a translation-coupled quality control pathway that degrades mRNAs that harbor a premature termination codon (PTC) and 5-30% of normal cellular mRNAs. The NMD field sits […]
Presented by: Kaushik Rajashekara, Hugh Roy and Lillie Cranz Cullen Distinguished University Professor @ University of Houston Description: “Autonomous electric vehicles (AEVs) are at the forefront of modern transportation, merging automation […]
A complete and accurate genome reconstruction serves as the foundation for studying an organism’s biology and the mechanisms underlying disease. It is particularly critical for reference genomes, which provide a universal coordinate system for downstream genomic analysis. Errors or missing sequences in a reference genome create bias in all of the studies built on top […]
Ribosome profiling has revealed thousands of noncanonical translation events across mammalian genomes, yet functional characterization has overwhelmingly focused on proliferative fitness in cancer cell lines. Here, we present a comprehensive […]
Join UC Master Gardeners at the UCSC Arboretum for class no. 4 of 4 that teaches you how to help protect the environment and support local wildlife.
Village murders! Occult conspiracies! A modern mystery tinged with the uncanny! Join the Pickwick Club as we explore Dickens and Christie across four landmark detective novels.
Presented by: Dr. Victor Zhirnov, Product Ideation Head @ Applied Materials Description: “Information and Communication Technologies (ICT) are a primary engine of socioeconomic growth in the modern world. Electronic information processing and transmission are being further accelerated by the rapid advancement of Artificial Intelligence (AI). The adoption of AI continues to expand at an unprecedented pace, […]
In person and via Zoom (Meeting ID: 978 5545 8946, Passcode: 454736). If you are unable to stream the talk live and need to access a recorded version, please contact Stacy Philpott at sphilpot@ucsc.edu. A UC Santa Cruz email address is required to access the recording. Host: Natalia Ocampo-Peñuela Speaker #1: Hannah Waterhouse Title: Building […]
Presenter: Parul Patil, Postdoctoral Researcher, UC Santa Cruz Description: Many computer simulations are stochastic and exhibit input dependent noise. In such situations, heteroskedastic Gaussian processes (hetGPs) make ideal surrogates as they estimate a latent, non-constant variance. However, existing hetGP implementations are unable to deal with large simulation campaigns and use point-estimates for all unknown quantities, […]