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Read More »Welcome!
This is the official web site of Siena Artificial Intelligence Laboratory. The focus of our research is on machine learning. In the last few years, we’ve been mainly involved in the conception of new theories of learning in structured domains and in their applications to pattern recognition and mining the web. We are also interested […]
Read More »Building the Neurocene
Neurocene We are thrilled to share the latest developments for Tales from Neurocene. We have officially finalized the “Bible” of the project—the foundational document that defines the rules, mythology, and geography of the world where all our stories, films, and games will take place. The Vision: A Narrative Universe The Neurocene is more than just […]
Read More »RODRIGO CASTELLANO ONTIVEROS
Short Bio — Rodrigo completed a bachelor’s degree in physics in 2021. After that, he worked as an applied scientist at Fraunhofer Institute for Computer Graphics Research, focusing on artificial intelligence applied to computer vision. He then pursued a master’s in machine learning at KTH Royal Institute of Technology, and conducted part of the master’s at RWTH Aachen University and ETH Zurich, […]
Read More »Maurizio Sanarico
Short Bio —Degree in Pure Mathematics, more than 30 years of experience in statistics, applied mathematics, machinelearning and artificial intelligence. Wide breadth in both application fields and methodology. Longexperience in using both commercial analytical software. Currently Chief Data Scientist in SDG Group.Significant experience in medical, life sciences and clinical data and their intersection with insurance […]
Read More »>>> Website on Collectionless AI – Open! – https://collectionless.ai/ <<<
Collectionless AI is the name we gave to a new perspective on AI/ML, focussed on “learning over time” in a continual manner, exploiting the information which is available at each time instant and interacting with other agents or humans. This setting has several important implications which might overcome the data-related issues which are typical of […]
Read More »[Nov 15th 2023] Applications of Large Language Models in the field of education
KAMYAR ZEINALIPOUR When: Nov 15th, 2023 – 11:30 – 12:00 AM Where: Google meet link Description Applications of Large Language Models in the field of education This seminar explores the transformative impact of Large Language Models (LLMs) on education, focusing on their application in the generation of multilingual educational crosswords and quizzes. The seminar delves […]
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RexLearn Software
The software that was developed in the context of the PRIN2017 Project RexLearn, funded by the Italian Ministry of Education, University and Research (grant no. 2017TWNMH2), can be accessed at the page indicated in this post. RexLearn Software
Read More »TAILOR WP4 Workshop at NeSy2023
Workshop on “Benchmarks for Neural-Symbolic AI” July 3, 2023 – 11:00-13:00 To participate: in person: at NeSy2023 Workshop, La Certosa di Pontignano, Siena, Italy online: Google Meet Conference Room Abstract The study of Neural-Symbolic (NeSy) approaches has been a longstanding goal in the field of AI. However, the evaluation of novel ideas and frameworks in this […]
Read More »NeSy 2023 – 17th International Workshop on Neural-Symbolic Learning and Reasoning
We are pleased to announce that SAILab will participate in the organization of the next edition of the NeSy Worshop! Official Website: https://sites.google.com/view/nesy2023 NeSy Workshop dates: 3-5 July 2023 Location: Certosa di Pontignano, Siena, Italy The NeSy workshop series is the longest standing gathering for the presentation and discussion of cutting edge research in neurosymbolic AI. […]
Read More »External Seminar On Bayesian Inference and Generative Models for Wireless Communication Algorithms Organised by prof. Andrea Abrardo [Apr 12th, 2023 – 10:00 – 13:00 AM]
Prof. Wolfang Utschick When: Apr 12th, 2023 – 10:00 – 13:00 AM Where: In presence at the San Niccolò building Bayesian Inference and Generative Models for Wireless Communication Algorithms Abstract: This tutorial first introduces the fundamentals of generative models, followed by the perspective of learning the radio propagation environment (“radio-compatible digital twin”) of wireless communication […]
Read More »[Apr 5th 2023] The expressive power of pooling in Graph Neural Networks
VERONICA LACHI When: Apr 5th, 2023 – 11:00 – 11:30 AM Where: Google meet link Description The expressive power of pooling in Graph Neural Networks In Graph Neural Networks (GNNs), hierarchical pooling operators generate a coarser representation of the input data by creating local summaries of the graph structure and its vertex features. Considerable attention […]
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