Presenter: Zinaida Good, Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine, Stanford University Description: T cell immunotherapies have reshaped the treatment […]
Modern edge computing increasingly relies on heterogeneous System-on-Chip (SoC) architectures. These chips tightly integrate general-purpose CPUs with various specialized accelerators, including GPUs, FPGAs, and AI accelerators, all under a shared […]
For millennia, Pacific salmon have been integral to the health of coastal ecosystems and human communities from California to Alaska. Salmon are ecological and cultural keystone species, connecting marine and freshwater food webs and supporting thriving fisheries. Yet, wild salmon have declined precipitously due to a combination of factors including dams, harvest, hatcheries, water use—and now, climate change. This is part of the Science in the Neighborhood lecture series.
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]