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AI

  • November 10, 2025
  • HDSIComm

AI Deep Learning Models Show Promise for Lung Disease Diagnosis Using CT Scans

By Kimberly Mann Bruch A University of California San Diego team suggests AI could help diagnose and stage chronic obstructive pulmonary disease (COPD) using computed tomography (CT) scans, potentially simplifying […]

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  • October 27, 2025
  • HDSIComm

New AI System Teaches Robots to Think Like Humans When Facing Unfamiliar Situations

By Kimberly Mann Bruch Breakthrough method developed by HDSI researchers helps artificial intelligence adapt to new challenges by breaking down problems into familiar building blocks A team of University of […]

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  • September 23, 2025
  • HDSIComm

UC San Diego Researchers Build Trustworthy Automated Neural Mapping Tool

By: Isabelle Banaie and Kimberly Mann Bruch Researchers from the University of California San Diego have introduced a new automated approach that makes brain analysis faster, more accurate and easier […]

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  • October 2, 2023
  • HDSIComm

Fireside Chat: Theory in the age of modern AI

TILOS Fireside Chat on “Theory in the age of modern AI“, which will be a conversation led by TILOS team members: Misha Belkin (UCSD), Arya Mazumdar (moderator, UCSD), Tara Javidi (UCSD), Visheeth […]

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  • August 17, 2023
  • HDSIComm

Causal Inference symposium

Causality is increasingly a part of AI, data science, robotics, and more, but it is not always clear how we can learn causality from data. This symposium will be featuring leading HDSI Faculty who will be providing an introductory overview on these methods, followed by domain-specific talks and open discussion.

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  • May 1, 2023
  • Kaleigh O'Merry

Security and Privacy in an Everchanging System Landscape

Abstract: From AI and IoT to AR/VR and Web 3.0, computer systems are evolving at an unprecedented rate. While this evolution has given rise to exciting applications and opportunities, it has also brought about novel security and privacy challenges within these systems and across their interactions with existing platforms. In this talk, I will discuss how system security researchers can keep up with this everchanging landscape and showcase some of my lab’s recent work on understanding and detecting malicious web bots. I will explore how we can build and roll out research infrastructure to measure web bot activities and later use our newfound understanding to develop practical solutions to counter them. I will highlight how we can apply similar research principles to areas such as AI and IoT. Finally, I will conclude my talk by previewing some of my ongoing work and outlining my research roadmap toward achieving “security at inception” for emerging systems.

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