ARTIFICIAL INTELLIGENCE
INITIATIVE FOR SCIENCE
Data science and statistics are ubiquitous across scientific domains relying on data; however not all areas apply statistical methods at similar levels of complexity, due to their different state-of-the-art knowledge, but also due to the lack of interdisciplinary communication with other communities.
In Physics we have traditionally adopted cutting-edge statistical techniques, or even developed new ones motivated by hard physics problems. On the other hand, the exponentially fast growth in the field of Machine Learning (the algorithmic side of Artificial Intelligence) in the last two decades from other sectors in industry have led to modern and very powerful statistical methods, many of which are useful also for science, and for physics in particular.
The AI Initiative for Science platform is an effort to bring experts from statistics and data science, together with other domain experts across scientific areas, in order to foster interdisciplinary collaborations benefiting all parts, the common denominator of all of them being Machine Learning and statistical tools.
Join us in this fantastic journey!
RESEARCH
Our current research in the are of Artificial Intelligence is quite broad (see List of Topics), covering from the development of new statistical methods, to the application of state-of-the-art methods and tools to several branches of physics and science in general, including fundamental physics, ecology, medical physics and nutrition.
We are always looking to expand our -already large- network of collaborators in different scientific areas, in order to expand our “transversal knowledge”, while at the same time contributing to society in ways other than doing research in fundamental physics, which is our common background.
MEMBERS
Curabitur blandit tempus
Senior Distinguished Researcher at University of Valencia
Distinguished Researcher (GenT)
