The seminar focuses on the technology stack of artificial intelligence systems, analyzing its geopolitical/geostrategic impacts as well as the role played by AI on the international stage in the strategic competition between dominant states and the main economic players. The seminar will also...
Artificial Intelligence and Robotics
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Abstract
Safety Neurons in Large Language Models
Large language models (LLMs) achieve state-of-the-art performance across a wide range of tasks, but their widespread deployment raises urgent concerns around security, privacy, and misuse. Building on recent... -
Artificial intelligence and social media have justifiably raised alarms about the dangers posed to humanity — and the risks are real. But framing our relationship with technology purely through the lens of fear misses a...
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Abstract
In this talk we present a approach to evaluating large language models (LLMs) based on the latest EU GPAI Code of Practice. It explores the mapping between existing technical benchmarks and the risk categories defined by the...
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Short Course part of Seminars in AI and Robotics
Non-rigid image registration is one of the fundamental pillars of medical image analysis, enabling the alignment of anatomical structures across subjects, time points, and imaging modalities. Among its various... -
IoT and edge devices, capable of capturing data from their surroundings, are becoming increasingly popular. However, the onboard analysis of the acquired data is usually limited by their computational capabilities. Consequently, the most recent and accurate deep learning technologies, such as...
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Seminar by Pieter van Goor (University of Twente)
Title: Synchronous State Estimation for Inertial Navigation Systems
Abstract:
An Inertial Navigation System (INS) is a system that integrates acceleration and angular velocity readings from an... -
Corso di Alta Formazione
Tecnologie robotiche e digitali...
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Abstract: Many datasets are best represented as graphs of entities connected by relationships rather than as a single uniform dataset or table. Graph Neural Networks (GNNs) have been used to...