ICT

Final ranking for D.R. 1409, Prot. 289079 del 29/11/2022

Final ranking for D.R. 1409, Prot. 289079 del 29/11/2022:
https://www.unimore.it/bandi/dettaglioalbo.html?IDBS=45309

Material for the course on "Large Scale Geospatial Data Management" - 5-7 December 2022

The course "Large Scale Geospatial Data Management" held by Prof. José Ramón Ríos Viqueira of Research Center of Intelligent Technologies (CiTIUS) of the University of Santiago de Compostela (USC) will take place from 5-7 December 2022 in the meeting room on the first floor of the MO27 building at the "Enzo Ferrari" Engineering Department and will be streamed on Teams. New material available.

Seminars "GENDER UNBALANCED AI", supported by Unimore and CVPL

We are happy to announce a cycle of seminars "GENDER UNBALANCED AI", supported by Unimore and CVPL, held by three female experts (but addressed to everyone!) in the AI field

Seminar: Self-designing Data Systems for the AI Era

Seminar on Self-designing Data Systems for the AI Era

abstract:
Data systems are everywhere. A data system is a collection of data structures and algorithms working together to achieve complex data processing tasks. For example, with data systems that utilize the correct data structure design for the problem at hand, we can reduce the monthly bill of large-scale data applications on the cloud by hundreds of thousands of dollars. We can accelerate data science tasks by dramatically speeding up the computation of statistics over large amounts of data. We can train drastically more neural networks within a given time budget, improving accuracy. However, knowing the right data system design for any given scenario is a notoriously hard problem; there is a massive space of possible designs, while no single design is perfect across all data, AI models, and hardware contexts. In addition, building a new system may take several years for any given (fixed) design. We will discuss our quest for the first principles of AI system design. We will show that it is possible to reason about this massive design space. This allows us to create a self-designing system that can take drastically different shapes to optimize for the workload, hardware, and available cloud budget using a grammar for systems. These shapes include designs that are discovered automatically and do not (always) exist in the literature or industry, yet they can be more than 10x faster for modern AI and big data applications. We will discuss examples from diverse AI areas, including image storage and classification, neural networks, statistics, and big data systems.

Kick-off meeting XXXVIII cycle

Seminar: “Innovations for boosting semiconductor memories in the Big Data era”

Venerdì 18 Novembre 2022, ore 11.00-12.30c/o edificio MO 25, Aula P1.1, il Dr.Ing. Roberto Bez Senior Director of the NVM Strategic Technology della ditta Micron, (leader mondiale nel campo delle memorie a semiconduttore), terrà un seminario dal titolo “Innovations for boosting semiconductor memories in the Big Data era”. Tutti gli interessati sono invitati a partecipare.