TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.
Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing MSGP algorithm, organized by Marc Schoenauer and Alessandro Leite, from INRIA, France, our TRUST-AI partner.
Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing GP-GOMEA algorithm, organized by Peter Bosnan, CWI, Netherlands, our TRUST-AI partner.
TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.
In the course of the TRUST AI HORIZON project, we faced the challenge of pushing up the TRL ladder, a specific forecasting component that by its very nature was rather limited as to its exploitation potential.
The European Innovation Council (EIC) and the European Medicine Agency (EMA) organised the EIC-EMA Info Day on January 31, 2023.
An article entitled "Explainable Approaches for Forecasting Building Electricity Consumption" is now available online as a preprint.
Data sharing is a long-established practice. There are several general-purpose cloud platforms (google, dropbox, etc.) as well as more specialized sharing services such as, for example, those provided by xenodo
The world of the 4th Industrial Revolution is underpinned by sharing and collaboration approaches. More and more, these are entering the mainstream and gradually putting aside the proprietary mindset and models of the past.
Energy demand forecasting is practiced in several time frames; different explanatory variables are used in each case to serve different decision support mandates. For example, in the short, daily, term building level, forecasting may serve as a performance baseline.
Energy demand is essential when planning for infrastructure and grid investment (TadahiroN., Shigeyuki H., 2010).
We are honoured to announce that in the Framework of Horizon 2020, our TRUST AI Project: 952060, Call: H2020-EIC-FETPROACT-2019 has been started as of October 2020.
How can doctors rely on a system that tells them the right time to operate on a patient with a rare tumour? How can a retailer be sure that the algorithm did not favour a supplier over one of the competitors? And what about the consumers?
Artificial Intelligence (AI) is a game-changer for a variety of sectors. AI’s boost to the global economy by 2030 is forecasted to be of $15.7 trillion (source PwC), and by 2021 80% of emerging technologies will have AI foundations (source Gartner).
L’intelligence artificielle et en particulier l’apprentissage profond produisent des résultats toujours plus impressionnants, mais selon des processus souvent inaccessibles au raisonnement humain.
El proyecto que utiliza la teoría de la evolución de Darwin para explicar la Inteligencia Artificial
La Inteligencia Artificial (IA) está por todas partes. Gracias a todo este mecanismo oculto, una máquina es capaz de aprender hasta 1.000 millones de parámetros y usarlos luego para dar la respuesta acertada en cuestión de segundos.