Page 1 of 91 to 10 of 88 Past Events
2025
December
November
-
AI-Driven Synthetic Whole Slide Imaging and Cellular Biomarker Quantification for Computational Pathology
-Computational pathology represents a transformative paradigm in precision medicine, leveraging artificial intelligence to enhance diagnostic accuracy and streamline clinical workflows. This presentation showcases a comprehensive research portfolio addressing critical challenges across multiple pathological domains through advanced AI methodologies. Our work encompasses progressive context encoders for anomaly detection (P-CEAD) on whole...
-
AI-Driven Synthetic Whole Slide Imaging and Cellular Biomarker Quantification for Computational Pathology
-Computational pathology represents a transformative paradigm in precision medicine, leveraging artificial intelligence to enhance diagnostic accuracy and streamline clinical workflows. This presentation showcases a comprehensive research portfolio addressing critical challenges across multiple pathological domains through advanced AI methodologies. Our work encompasses progressive context encoders for anomaly detection (P-CEAD) on whole...
October
-
Cyber Security in Cyber-Physical Systems: A Journey
-Cyberphysical Systems (CPS) are transforming the way we interact with the physical world around us. However, CPS systems present unique challenges due to the complexity, constraints, and dynamic nature of the interactions. Cyber security is a major concern in CPS systems, particularly due to the large amount of sensitive data...
-
Towards LLM-powered social assistants
-Research in multi-agent systems has a long history of borrowing social concepts from human society and developing computational counterparts, with the aim of promoting orderly social interactions in societies of autonomous agents. As human communication and coordination becomes increasingly mediated by software, this raises the question of whether we can...
June
-
GRASP - Generative ReAsoning beyond Scaling uP
-Processing and generating language in ways that align with human expectations—both in communication and reasoning—requires computational representations that approximate how humans understand, abstract, and manipulate knowledge. Generative Large Language Models (LLMs), powered by vast data and extensive parameters, have achieved impressive alignment with human-like outputs. Though not explicitly trained for...
-
Advancing Predictive Runtime Verification through Multi-Model Approaches and Process Mining
-This talk explores the integration of Predictive Runtime Verification (PRV) and Process Mining techniques to enhance the reliability and efficiency of autonomous systems. We begin by presenting a multi-model PRV approach that addresses the complexity of systems composed of multiple components. This method improves traditional PRV by utilizing individual component...
May
-
Many Minds are Better Than One: Towards a Dialogical Turn in Logic
-Both the ancient Greek and Indian traditions primarily conceived of logic as an inherently dialogical process. However, it is the Enlightenment conception of logic as providing prescriptive guidance for individual agent reasoning that has come to dominate research into logics for AI. In this talk I will argue for a renewal...
-
Multimodal Scientific Content Generation with LLMs
-Generating scientific images (e.g., scientific figures) by hand can often be a time-consuming laborious task, where some popular coding languages such as TikZ come with a steep learning curve. Automatizing this process promises to facilitate and accelerate scientific multimodal content production. In this talk, I will discuss our recent approaches...