Trust is fundamental in every aspect of our society and especially when dealing with technologies promising more disruptive changes such as Artificial Intelligence. Map your Trustworthy AI services with our Legal-ethical services taxonomy. read more of Trustworthy AI services taxonomy

5 lectures on continual learning, given at ESSAI 2023 (approximately 1.5 hours each) read more of Course on Continual Learning (given at ESSAI 2023)

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work. While AI is often studied as a subfield of computer science, it has grow... read more of AI Studies Survey

Manifolds, the higher-dimensional analogs of smooth curves and surfaces, are essential mathematical objects with applications in diverse fields such as classical mechanics, general relativity, and quantum field theory. By combining algebra, topology, and ... read more of An introduction to manifolds

Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content. Several approaches have been developed over the last couple of decades and the current state of the art is represe... read more of Video Summarization Using Deep Neural Networks: A Survey

Many recent advances in natural language generation have been fueled by training large language models on internet-scale data. However, this paradigm can lead to models that generate toxic, inaccurate, and unhelpful content, and automatic evaluation metri... read more of Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation

Speech and Language Processing is a field at the intersection of computer science, linguistics, and artificial intelligence that focuses on understanding and developing technologies to process and analyze human language. It encompasses various tasks such ... read more of Speech and Language Processing

Representation learning techniques in NLP capture meaningful and distributed representations of textual data, known as embeddings. These embeddings enable NLP models to effectively understand semantic and syntactic relationships. Popular methods include w... read more of Representation Learning for Natural Language Processing

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving predefined targets or fulfilling certain goals from t... read more of A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects

Keyphrase prediction is a significant task in natural language processing that aims to generate concise phrases summarizing a document. Researchers have conducted extensive studies using statistical and deep learning methods, as well as incorporating exte... read more of From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey