Join us for an informative conversation with Neta Haiby, Head of Product | AI Security at Microsoft! Artificial Intelligence is transforming both cyber defense and cyber offense. It creates unique risks in how we build, deploy, and operate AI apps and Agents. This session examines how AI can be attacked or misused – through techniques […]
Machine unlearning addresses the “right to be forgotten” under GDPR and enables privacy, copyright, and safety compliance in large language models. Training-based unlearning can remove targeted behavior on benchmarks, but it scales poorly, can degrade utility, and can fail under adversarial prompting that recovers supposedly forgotten content. This prospectus proposes inference-time behavioral unlearning: rather than […]
Presenter Charith Mendis, Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign Abstract Modern AI workloads have become exceedingly abundant and important in the current computing landscape. […]
Curious how being part of a research lab can supercharge your experience as a Baskin Engineer? Join us for this informative event to learn about opportunities to solve open-ended problems, […]
Discover innovation at the Baskin Engineering Club Bash, an event celebrating National Engineers Week! Mark your calendars for Thursday, February 26, 12–2 PM in the BE Courtyard! The BE Club Bash brings together student organizations across all engineering disciplines to showcase their projects, demos, and interactive activities. Stop by to: Explore hands-on booths and demonstrations from student organizations Learn about engineering opportunities on […]
A SEMI Professional Development Seminar organized by the SEMI Silicon Valley Chapter – Connecting College Students to the Semiconductor Industry. Learn about career opportunities in high tech and acquire valuable, practical information that will help you choose career directions and plan for your success.
Presenter: Vasiliki “Vicky” Bikia, PhD, Stanford Department of Biomedical Data Science and Institute for Human-Centered AI (HAI) Abstract: Deploying foundation models in health requires both computational efficiency and reliable generation. In this talk, I present two studies that address these dimensions separately but with a shared goal of real-world clinical deployment. The first study focuses on […]
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 memory architecture. Although these shared-memory SoCs enable more efficient communication and data sharing between different processing units, they are notoriously difficult to program and tune […]
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 produce fluent text, they collapse content planning, sentence planning, and surface realization into a single undifferentiated decoding step, sacrificing the controllable structure that earlier systems […]
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 design and implementation decisions with minimal human guidance. While these systems boost productivity, they also introduce new risks: developers may disengage from the reasoning behind […]
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 […]
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, […]
Presenter: Christopher Fletcher, UC Berkeley Abstract: It is difficult to escape the hype of agentic coding. Is the hype real? Are we still living in ~Summer 2025 — when AI coding would […]
Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources, and the model’s observed behavior is used to predict real-world outcomes. However, logically concurrent activities are typically simulated under one possible linearization of their events – an order […]
Presenter: Ravi Kumar, Google Abstract: In discrete choice, a user selects one option from a finite set of available alternatives, a process that is crucial for recommendation systems applications in e-commerce, social media, search engines, etc. A popular way to model discrete choice is through Random Utility Models (RUMs). RUMs assume that users assign values to […]
Artificial intelligence is transforming how we understand and solve the world’s most complex challenges—while at the same time causing new challenges and concerns. We invite you to join us for […]
Come get excited about Baskin Engineering Climate Week at our student pop-up! 🌎 Climate Week is a chance to explore how Baskin Engineering is addressing climate challenges through innovative research, teaching, and hands-on projects. Discover the events happening throughout the week and find ways to get involved! Swing by for FREE BE swag, coffee, cookies, […]