A Scalable Artificial Intelligence system for Machine and Deep Learning Research and Training at Sapienza Università di Roma

Anno
2018
Proponente Stefano Giagu - Professore Ordinario
Sottosettore ERC del proponente del progetto
Componenti gruppo di ricerca
Abstract

Artificial Intelligence (AI) and specifically Deep Neural Networks made incredible advances in the past few years transforming the way researcher analyse the ever increasing amount of data that today we are able to collect and store. This AI revolution is deeply impacting our society, from preventing disease, to building smart cities, to revolutionising analytics, up to art-producing neural networks that rival human creativity, are just few examples of applications based on Neural Networks that are routinely used today.
As the panorama of AI applications expands the deep neural networks are getting increasingly complex and demand unprecedented levels of computer power. In such scenario to be able to contribute and compete worldwide to the design, development and applications of the next generation of Deep Learning algorithms, it is crucial to have access to dedicated systems able to accelerate new AI model types that were previously untrainable, systems that outpace traditional data center architectures.
In this context we propose to buy a state of the art computing system for advanced Artificial Intelligence computation to be hosted in the computing center of the Department of Physics at Sapienza University of Rome and to use the system to develop innovative methods in the field of theoretical and applied machine learning, and to train students at undergraduate and graduate levels in physics, data science, mathematics, neuro science, medical diagnostic and imaging, and architectural design.
The proposed system will place Sapienza among the best universities worldwide for research and training in AI and Machine Learning.

ERC
PE6_11, PE6_7, PE2_2
Keywords:
APPRENDIMENTO AUTOMATICO, INTELLIGENZA ARTIFICIALE, BIG DATA, ALGORITMI, NEUROIMAGING E NEUROSCIENZA COMPUTAZIONALE

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