Build the skills organizations need most Skilled project and program managers remain in demand across many industries as organizations seek professionals who can plan strategically, manage risks, and deliver results […]
Opportunities to enhance groundwater recharge with net metering and levee setbacks As climate change, population growth, and changing land use put increasing pressure on groundwater supplies, communities are searching for smarter and more sustainable ways to manage water. One promising approach is “managed recharge” — guiding stormwater and excess surface water back into underground aquifers […]
Modern software increasingly relies on distributed systems to provide accessible, scalable, and reliable services. Choreographic programming brings a global perspective to distributed system development: programmers write a single program that describes the behavior of a whole system, and a compiler projects that global description into local programs run by each node. By making distributed control […]
Edge computing and distributed AI systems increasingly operate under heterogeneous resources, dynamic workloads, and frequent failures, requiring both adaptivity and fault tolerance for efficient execution. In heterogeneous edge clusters, nodes differ significantly in CPU throughput, memory capacity, and network bandwidth, while modern distributed GPU clusters supporting agentic LLM inference must recover large amounts of runtime […]
Data Analysts Are Still in Demand As organizations across industries rely more on data-driven decision-making, skilled data analysts continue to be highly sought after. While the job market is more […]
The Social Documentation M.F.A. Thesis Screening is a yearly event held by the Film and Digital Media Department. This event is part of the Social Documentation M.F.A. program, and involves second-year students presenting a 20-minute documentary film they have produced while in the program. Films are screened sequentially at the Del Mar Theater, with a […]
Embedded Systems: Build the Intelligence Behind the Hardware Join Juergen Kienhoefer to explore the foundations of embedded systems and how firmware powers the devices we use every day—plus get an introduction to […]
Real-time monitoring of infectious disease outbreaks calls for statistical models that recover interpretable quantities such as the time-varying reproduction number from noisy count data, track posterior uncertainty, and run on time scales compatible with daily updates. Existing methods address these aims through separate model classes. Discretized Hawkes processes, Poisson autoregressions, and distributed lag models each […]
Undergraduate and graduate students and recent alumni interested in pursuing careers in all industries are welcome to attend. Get the chance to meet recruiters from all industries/firms seeking to fill […]
AI-assisted clinical decisions in medicine, and particularly in dermatology, demand fine-grained understanding across diverse skin tones, body sites, and disease types, yet expert-annotated datasets are scarce, demographically imbalanced, and almost devoid of rare presentations. This dissertation develops four deep learning systems for this low-label, low-coverage regime. We introduce HealNet, which learns wound healing stages from […]
Modern AI systems are rapidly moving beyond static text generation toward capable models and agents that reason, use tools, store memories, and update persistent state, yet safety methods still often assume a fixed model whose behavior can be controlled by output-level refusal. This leaves critical gaps in understanding why aligned models fail under adversarial pressure, […]
Design digital experiences people love to use. In today’s rapidly evolving tech landscape, organizations need professionals who can combine empathy, usability, and aesthetics to create interfaces that engage and delight […]
Presenter: Mario Stanke, Professor of Bioinformatics, University of Greifswald Description: This talk will explore recent machine learning approaches for eukaryotic genome annotation. Our supervised ab initio deep gene finder, Tiberius, correctly predicts more than four times as many human protein-coding gene structures as its father, Augustus, and in some clades, it approaches the accuracy of […]
Due to their increasing complexity, autonomous decision-making agents rely on increasingly advanced algorithms, from classical control theory to reinforcement learning (RL) and, more recently, large vision-language models. While these algorithms help automate the decision-making in complex systems, they bring newer attack vulnerabilities that an adversary can exploit. In this dissertation, we study the security of […]
Join the UC Santa Cruz Premed Postbacc Program for an informative, live online session designed for students, parents, and anyone exploring pathways into medicine, public health, and other health professions. In this […]
Spontaneous human combustion! Evil lawyers! Detectives! Family intrigue! Join the Pickwick Club for a series of discussions about ‘Bleak House.’
Life After Graduation Series Hosted by UC Davis, open to recent alumni and rising seniors of all UC campuses. Join the Cal Aggie Alumni Association for another session in the Life […]
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 […]
AI-assisted clinical decisions in medicine, and particularly in dermatology, demand fine-grained understanding across diverse skin tones, body sites, and disease types, yet expert-annotated datasets are scarce, demographically imbalanced, and almost devoid of rare presentations. This dissertation develops four deep learning systems for this low-label, low-coverage regime. We introduce HealNet, which learns wound healing stages from […]
Graphics Processing Units (GPUs) have become essential platforms for parallel computing, supporting applications far beyond graphics. Central to GPU programming models is its memory consistency specification (MCS), which defines the semantics of concurrent shared-memory operations and interacts with other language features to determine security guarantees such as memory safety. Understanding whether implementations conform to an […]