Evaluating the Effect of Additional Data Channels for CNN-based Radar Precipitation Nowcasting

Peter Pavlík PhD student at slovak.AI Abstract: Nowcasting in meteorology is defined as forecasting with high local detail, by any method, over a period from the present to six hours ahead. In general, the main nowcasting task is to predict precipitation amounts in the near future and generate alerts on extreme weather events, preventing damage

Evaluating the Effect of Additional Data Channels for CNN-based Radar Precipitation Nowcasting Read More »

Development of a neuro-symbolic AI approach to characterize diabetes distress profiles in people with type-1 diabetes

Dulce Canha PhD student at Luxembourg Institute of Health (LIH) Abstract: Type-1 diabetes (T1D) is an autoimmune disorder representing 5-10% of global diabetes cases, with a predicted patient growth from 8.4 million in 2021 to potentially 17.4 million by 2040. This chronic disease requires complex daily management, making people with T1D more prone to psychological

Development of a neuro-symbolic AI approach to characterize diabetes distress profiles in people with type-1 diabetes Read More »

Malware Detection Based on Explainable AI

Peter Anthony PhD student at Slovak.AI Comenius University in Bratislava, Slovakia Abstract: Malware detection is a critical task in cybersecurity, and traditional signature-based approaches are often ineffective against new and evolving threats. Recent research has shown that machine learning models can improve the accuracy of malware classification. However, existing methods often suffer from poor generalization

Malware Detection Based on Explainable AI Read More »

Multitask learning for enhanced depressive symptoms screening using real-life voice recordings

Abir Elbeji Luxembourg Institute of Health (LIH) Abstract: Depression affects around 4.4% of the global population, requiring early and accurate screening to reduce its long-term damage. Traditional screening approaches such as self-reported questionnaires have limitations, prompting the shift to objective assessment methods such as voice-based biomarkers. These biomarkers offer non-invasive and scalable depression screening, though

Multitask learning for enhanced depressive symptoms screening using real-life voice recordings Read More »

TAILOR Selected Papers: December

We are thrilled to announce that TAILOR is starting a new section! Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz. The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable

TAILOR Selected Papers: December Read More »

TAILOR Scientists at NeurIPS 2023

The next NeurIPS conference is scheduled to take place in New Orleans from Sunday, December 10th – Saturday, December 16th, 2023. The NeurIPS conference is one of the major worldwide annual appointments in the field of AI. The conference was founded in 1987 and is now a multi-track interdisciplinary meeting that includes invited talks, demonstrations, symposia,

TAILOR Scientists at NeurIPS 2023 Read More »

ADRF2023: TAILOR contributions to the discussion on Generative AI for European society and Industry

The AI, Data, Robotics Forum 2023 (ADRF) took place at the Inria headquarters, Le Chesnay-Rocquencourt, near Versailles (France), on November 8th and 9th this year. The ADRF, with its extensive coverage of various topics, particularly focused on ‘European Generative AI for European society and industry’ in its latest edition. Sponsored by the TAILOR project through

ADRF2023: TAILOR contributions to the discussion on Generative AI for European society and Industry Read More »

A debate at the European Symposium on Foundation Models: Open questions and Expert Opinions

Large Language Models (LLMs) and Foundation Models have taken the world and even researchers by surprise for their capabilities, notwithstanding their limitations. This has spurred worldwide controversy about the development, the potentials and the risks of AI technologies in general. There is no doubt that these technologies will have a relevant role in shaping our

A debate at the European Symposium on Foundation Models: Open questions and Expert Opinions Read More »