Recently, a class of non-invasive hardware side-channel attacks has been discovered in field-programmable gate arrays (FPGAs). These attacks extract remnants of prior users’ activity that persist as transistor defect states […]
Presented by: Alex Olwal Description: “In this talk, I will share my perspectives on the evolution and future of human-centered augmentation, through the lens of two decades of research and development. Drawing from experiences across academia and industry, I will discuss insights from having led projects in augmented reality, accessibility, electronic textiles, novel sensing and […]
Presenter: Sung-Mo “Steve” Kang, Distinguished Professor Emeritus and Research Professor, UC Santa Cruz Description: Recently, applications of artificial intelligence (AI) have far outpaced Moore’s law in chip development, thus creating an increasingly large gap between user demand and the supply that the semiconductor industry can deliver. In this talk, we will discuss the unique […]
This dissertation investigates how neuromorphic and brain-inspired principles can guide the design of efficient neural language architectures. It addresses two central limitations of modern Transformer-based language models: memory growth with […]
Autonomous systems, such as Autonomous Vehicles (AVs) and drones, are increasingly deployed across a wider array of contexts for both civilian and military use. As these systems become more common, […]
Modern datacenter CPUs lose 25–66% of execution cycles to instruction-delivery stalls. This bottleneck persists, despite the recent trend towards accelerators and GPUs, as there is continuing demand by applications that […]
Presenter: Laura Waller, UC Berkeley Abstract: Computational imaging jointly designs hardware and algorithms to push beyond the classical limits of imaging, enabling measurement of new quantities (e.g. 3D, phase, and super-resolution) with simple, inexpensive hardware. These approaches have already transformed consumer photography; our goal is to achieve a similar transformation in scientific microscopy. In this […]
Autonomous Cyber Operations (ACO) agents promise effective security automation with minimal human intervention, yet their deployment raises three interconnected challenges: agents must be realistic (reproducing diverse attacker sophistication), secure (preventing […]
This work addresses improvements in branch prediction mechanism to support high perfor- mance processors. The state of the art aims to balance the prediction latency and prediction accuracy using multi […]
Presenter: Hamid Jafarbiglu, Agricultural Technology Evaluator, Big Idea Ventures Description: California agriculture is increasingly adopting organic and regenerative production systems, creating a growing need for technologies capable of monitoring complex […]
Presenter: Arman Zharmagambetov, Meta Abstract: Ensuring the safety of language models (LMs) while maintaining their usefulness remains a critical challenge in AI alignment. Current approaches rely on sequential adversarial training: generating adversarial (harmful) prompts and fine-tuning LMs to defend against them. We introduce a different paradigm: framing safety alignment as a non-zero-sum game between an […]
Centromeric DNA is critical for accurate chromosome segregation and genome stability, but due to its repetitive nature, it was only recently fully included in a human reference. Rapid evolution and sequence diversity in these regions limit the utility of one reference sequence, however. Integrating centromeric and pericentromeric satellite DNA – which together constitute over 5% […]
Pattern counting is a fundamental problem in computer science with applications in many domains. For a fixed small pattern H, we are given a large graph G and we are asked to count the number of subgraphs or homomorphisms (edge-preserving maps) of H in G. For practical applications where the input graph can be very […]
Presenter: Eve Laroche-Pinel, Postdoctoral Researcher, California State University, Fresno Description: Advances in remote sensing, drone platforms, and data analytics are enhancing the ability to monitor agricultural systems at fine spatial and temporal scales. This presentation will highlight applied research using multispectral and hyperspectral data from satellites, drones, aircraft, and ground platforms to assess crop water […]
Presenter: Masood Parvania, Roger P. Webb Endowed Professor, University of Utah Description: Many communities across the world are experiencing more frequent and severe extreme weather disturbances such as wildfires, heatwaves, drought, storms, rising sea levels, and flooding, which not only pose threats to human health, and the environment but also affect the ability of […]
Presenter: Derek Hollenbeck, postdoctoral research scholar, University of California, Merced Description: Advances in drone-based environmental sensing, atmospheric modeling, and intelligent monitoring systems are creating new opportunities for addressing emerging challenges in food safety and agricultural resilience. This talk explores how methodologies originally developed for methane emission detection and quantification could be translated toward agricultural and […]
Research on fault-tolerance protocols for approximate Byzantine agreement (ABA) has largely focused on ensuring that distributed processes remain consistent despite fewer than 1/3 faulty processes. Yet in many real systems, consistency is only useful when it enables processes to make accurate decisions from replicated, noisy, and potentially adversarially corrupted data relative to an ideal fault-free […]
Presenter: Chris Jay Hoofnagle, Frederik Zuiderveen Borgesius, Lothar Determann, Pieter T.J. Wolters Abstract: The European Union has enacted a comprehensive cybersecurity framework (the “Framework”) that imposes far-reaching obligations on developers of standalone software and connected products. This Article describes the European legislative approach before turning to a description of the Framework. Anchored by the Cyber […]
Most optimization problems face the challenge of computing an optimum solution requiring superpolynomial time. In particular, they are classified as NP-hard problems that have no polynomial-time algorithm to date. Instead, computer scientists turn to find an approximate solution and create numerous elegant algorithms. However, in the modern era, computational environments have changed drastically, and we […]
Presented by: Rabindra (Robby) Ratan Description: “Novel communication technologies have always presented challenges and opportunities in education. Since my days as a wee assistant professor of media and information, I have embraced this chaos. In 2015, I implemented avatar-based discussion forums into my classes to study the Proteus effect (i.e., the phenomenon of avatar characteristics influencing […]