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 […]
Children’s lives are now inextricably linked with AI-driven digital systems that shape learning, social interaction, and development. This has elevated child online safety to a central concern for families, policymakers, and educators. This makes Child online safety a wicked socio-technical problem, emerging from the complex interplay of social norms, platform incentives, cultural expectations, and rapidly […]
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. […]
Artificial neural networks can now learn to play games, control robots, generate language, and solve complicated reasoning tasks, yet we still lack a clear understanding of how to directly guide learning in biological neural networks. We show that brain organoids can learn to solve a fundamental control task, balancing an inverted pendulum, through closed-loop electrophysiology. […]
Presenter: Dr. Christine Greve, Research Engineer, Edwards AFB Description: Low-thrust space electric propulsion systems offer long propulsion system lifetimes for satellite maintenance maneuvers. These thrusters operate by generating and accelerating […]
End-to-end neural generation models have largely displaced the modular architectures that once gave dialogue system designers explicit control over what is said and how it is said. While these models […]
Presenter: Ching-Yao Lai, Assistant Professor, Stanford University Description: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being […]
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. […]
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia. Neuroimaging and clinical biomarkers can reveal early disease changes, but building reliable machine learning models is difficult because data come from different scanners and sites, some modalities are missing, labeled cohorts are limited, and factors such as age and scanner/site effects […]
Presenter: Nadia Polikarpova, UCSD Abstract: AI-assisted programming has rapidly moved from novelty to default. Today, most developers use AI coding tools, and increasingly rely on agentic systems capable of making multi-step […]
Current generative vision models struggle with image customization that requires multi-step reasoning or real-world knowledge. This proposal introduces generalized image customization, enabling systems to execute complex, inferential modifications rather than just simple edits. The research focuses on the foundational framework required for this generalization, specifically high-quality training data, scalable evaluation benchmarks, self-improving training paradigms that […]
Chat with the AI chair Lead innovation as a machine learning engineer Want to learn what’s new in AI? Join Praveen Krishna, chair of the Artificial Intelligence Application Development certificate […]
Presenter: Danny Chou, Associate Professor of Pediatrics, Stanford University Description: Since its discovery in 1921, insulin has been at the forefront of scientific breakthroughs. From its amino acid sequencing to […]
Presenters: Valeria Alonso Blanco, Dr. Saskias Casanova, and Jesus Morales This interactive talk draws on a qualitative study conducted with undocumented Latinx transfer students at a California four-year HSI. Using focus groups and reflexive thematic analysis, we examined how these students perceive and experience institutional support, belonging, and barriers related to their intersectional identities. This […]
Are you considering medical school and seeking a clear, supportive path forward? Join the University of California, Santa Cruz, for a free online informational session to learn more about our […]
As multimodal artificial intelligence systems become increasingly embedded in everyday technology, there is a growing need to design human-centered AI agents that support and amplify human capabilities rather than replace them. This dissertation investigates how to build human-centered multimodal AI agents, framing human-centeredness as an agent-level objective that requires both accessible, assistive interaction and reliable, […]
Advanced driver-assistance systems (ADAS) are commonly organized as modular pipelines that transform raw sensor measurements into low-level actuation commands through perception, planning, and control. While learning-based methods have achieved state-of-the-art performance in perception and environment modeling, the planning layer remains a key bottleneck for reliable autonomy. Highway driving in particular requires long-horizon reasoning and socially […]
Register transfer level (RTL) simulation is an invaluable tool for developing, debugging, verifying, and validating hardware designs. However, the performance of RTL simulation has long been a limiting factor in industry. Despite the inherent parallelism of hardware, current RTL simulators have not achieved practical performance gains due to fundamental challenges in communication, synchronization, memory bandwidth, […]
Join Kevin for “Wildlife Photography from Hummingbirds to Elephants” at the UC Santa Cruz Arboretum & Botanic Garden in the Horticulture 2 Meeting Hall. He will offer tips for photographing hummingbirds, share beautiful images taken at the arboretum, and present highlights from his wildlife photography across Monterey Bay and from his travels around the globe. […]
Join us for a social hour and a presentation titled, Sparrows in the Mist: Complex Winter Social Behavior in a Little Brown Bird.