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, […]
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 […]
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 […]
Presenter: Asir Intisar Khan, Assistant Professor in Electrical Engineering and Computer Sciences (EECS), University of California, Berkeley Description: With the rise in global data demands, energy efficiency in electronics is […]
Complex societal problems (e.g. wicked problems) such as those brought on by climate change can be addressed through a combination of Research through Design (RtD), co-design, and Serious Games (SG) […]
Presenters: Prof. Karl-Erik Arzen (Co-Director of WASP and Lund University), Dr. Paul Townend (WASP Graduate School management and Umeå University), and Carl Magnus Bruhner (Linkoping University) Abstract: The Wallenberg AI, Autonomous Systems, and Software Program (WASP) is the largest research initiative in Swedish history, with a budget of over $700M and a research focus AI […]
Interested in careers in AI and cybersecurity? Then don’t miss this highly informative workshop covering today’s most relevant trends in this space. In this 2-part session, you’ll get expert […]
Presenter: Jaeyoung Lim, Postdoctoral Scholar at the Agile Robotics and Perception Lab at the Electrical Engineering and Computer Science Department, University of California, Berkeley Description: Monitoring large-scale environments is essential for natural hazard management, environmental process observation, and search and rescue operations. Yes, meaningful coverage of the target environment demands vast infrastructure and dense sensor […]
Presenter: Philipp Haller, KTH Royal Institute of Technology Abstract: Distributed programming is notoriously difficult. Not only are distributed systems concurrent, they pose additional challenges including data consistency and fault tolerance. At the same time, the share of software systems that are necessarily distributed systems is growing rapidly. As a result, too many software developers are […]
This is a programming contest, but with a twist! Instead of scoring you based on your speed and solution accuracy, we score you based on your programming quality and solution […]
Presenter: Luat Vuong, Associate Professor in Mechanical Engineering, UC Riverside Description: Given the growing computational demands of machine learning, how can we scale approaches for sifting through large volumes of data—including patterned or delayed information embedded as “noise”? Many computer vision applications have a strict power budget and demand robust, rapid-response, and even real-time image […]