GPUs are the workhorses of modern AI, widely deployed and developed by many vendors including Apple, Qualcomm, Intel, AMD, and NVIDIA. While these GPUs all offer high compute potential, programming […]
Presenter: Subhadeep Paul, Associate Professor, Ohio State University Description: In the first part of the talk, we consider the problem of Transfer Learning (TL) under heterogeneity from a source to […]
Spontaneous human combustion! Evil lawyers! Detectives! Family intrigue! Join the Pickwick Club for a series of discussions about ‘Bleak House.’
The IAS, BBQueer Fest, and Motion Pacific invite you to attend “Queering Movement: Stories Embodied,” an evening celebrating short films by local Black, brown and queer artists and dancers. The screening and Q&A with filmmakers and participants showcases the interplay of activism, movement, and performance. Social hour to follow! Light snacks and (non-alcoholic) refreshments will be provided. Films are in […]
Presenter: Dr. Hannah Stuart, Associate Professor in the Department of Mechanical Engineering, University of California at Berkeley Description: Robot grippers typically include mechanical intelligence (e.g., underactuation, compliance) or computational intelligence (e.g., fully actuated with a wide array of sensors). Next generation grippers and hands will require both intelligences to work in concert across applications with […]
Presenter: Guannan Wang, Associate Professor, The College of William & Mary Description: Generative AI has emerged as a powerful tool for synthesizing biomedical images, offering new solutions to challenges such […]
Presented by: Kai Lukoff Description: The Santa Clara University campus is adorned with symbols and monuments, including a Spanish Mission Church, that highlight its Catholic heritage. However, the presence and history of the Ohlone Native Americans, who have inhabited this land for thousands of years and continue to live in the region, receive little to […]
Presenter: Fabrizio Falasca, New York University Description: A central challenge in climate science and applied mathematics is developing data-driven models of multiscale systems that capture both stationary statistics and responses […]
Presenter: Charilaos I. Kanatsoulis, Stanford University Abstract: Foundation models have transformed unstructured domains such as language and vision, yet relational datasets, where most enterprise knowledge lives, still rely on brittle, task-specific ML pipelines. I will begin by introducing Relational Deep Learning (RDL), a general framework for learning directly from heterogeneous multi-table data, capturing structure across entities, attributes, […]
Presenter: Yunyi Shen, Ph.D. Candidate, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Description: Practitioners often aim to infer an unobserved population trajectory using sample snapshots at […]
This talk explores how Indigenous analytic and ancestral technologies, rooted in technē as craft, knowledge, and skilled practice, inform contemporary digital forms such as Virtual Reality and AI. It traces how ancestral memory is transferred, adapted, and sustained across generations through decolonial and anti-colonial frameworks, while critically engaging both the generative possibilities and the structural […]
Presenter: Matt Franklin, Postdoctoral Researcher, Stanford University Description: Eukaryotic genomes contain large stretches of repetitive DNA called satellite DNA, often found near centromeres and ribosomal DNA regions. In humans, alpha […]
You are cordially invited to an event celebrating the life and research legacy of Allen van Gelder, who passed away in April 2025 after 37 years of dedicated service to […]
Are you ready to thrive in today’s fast-moving professional world — especially in one shaped by innovation, technology, and AI? Success in today’s AI-driven economy requires more than technical skills—it demands the right mindset, habits, and career strategy. Whether you’re early in your career, navigating a transition, or pushing for your next breakthrough, this workshop […]
The short- and long-term health impacts of pesticide use for local communities on land as well as in the ocean are addressed in a conversation with Yanely Martinez, Katherine Gabriel-Cox, Adam Scow and Logan Pallin. This event is presented as part of as part of the Intersections of Climate Change series, and is organized with […]
Explore how artificial intelligence is transforming the semiconductor industry—from design to manufacturing. In this AI workshop, students will examine how AI is being applied to chip design, Electronic Design Automation (EDA), and production workflows, with a focus on real-world use cases and emerging industry trends. Through expert insights and practical examples, this session highlights how […]
The People of Color Sustainability Collective invites you to Connect To Your Roots! We will be sharing and connecting with generational knowledge and empowering BIPOC to take control of their own food systems, particularly medicinal herbs, through a variety of educational hands-on activities. We aim for this event to enhance BIPOC visibility on campus, and […]
Presenter: Tolga Acikalin, System and Package Architect, Lumilens Description: The rapid rise of artificial intelligence and machine learning—most notably recent breakthroughs in large language models—is reshaping the trajectory of the semiconductor industry and ushering in a new era of system innovation. As performance scaling at the device level slows, heterogeneous integration (HI) has emerged as […]
Presenter: Jiaqi Li, William H. Kruskal Instructor, University of Chicago Description:Modern machine learning (ML) algorithms achieve remarkable empirical success, yet providing rigorous statistical guarantees remains a major challenge, particularly in distributional theory and online inference methods. In this talk, we will introduce a novel framework to provide mathematical foundations for ML by bringing powerful tools […]
Presenter: Seshadhri Comandur, Professor of Computer Science, UCSC Description: There has been a lot of literature on graph machine learning over the past few years, and a bewildering array of new methods. This talk is based on a series of results making a provocative argument. Maybe many graph machine learning methods are not really that […]