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resolution, reduced electronic noise, and the ability to separate materials based on their energy-dependent attenuation. These capabilities enable selective detection of contrast agents incorporating elements
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axes: (1) application of vision-language models (VLMs) and large language models (LLMs) to document understanding and OCR, with a focus on multilingual and multi-script settings, including non-Latin
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, study, design, development and validation of advanced artificial intelligence solutions for the implementation of agentic systems based on LLMs, with particular reference to orchestration techniques and
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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human and one or more artificial agents can communicate through bidirectional emotional signalling. For this to be possible, artificial agents must be able both to express and to model emotions in ways
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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diverse spanning ancient urban systems, historical records, and contemporary political and social data · Contributing to the design and implementation of agent-based simulation models and computational
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identification of optimization levers while ensuring compliance with safety requirements. The work will be based on process and decision modeling standards (notably BPMN and DMN), enhanced by agent-based AI
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on Multi-Agent Agentic AI architectures. Develop AI models and AI-based applications, tools, and software components collaboratively. Build, maintain and operate a private 6G cloud testbed primarily based
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 15 hours ago
of processes and needs in manufacturing and service operations Development of LLM-based solutions (RAG and agents) to support operators and technicians. • Integration with enterprise/industrial data and systems