Institute of Information Science and Technologies "Alessandro Faedo" - ISTI

The National Research Council of Italy (CNR) is the largest public research institution in Italy and is organized in departments and institutes. ISTI (Institute of Information Science and Technologies "Alessandro Faedo") is affiliated to the CNR Dept. of Engineering, Information, Communication, Energy and Transportation Technologies (DIITET). ISTI-CNR is the largest CNR institute for Computer Science (with a staff of around 230 plus a fluctuating number of students) and is located in Pisa (Tuscany). The Institute was founded in 2000 by merging the CNUCE and IEI institutes of CNR. A collection of documents on the history of ISTI and its ancestors is available at: http://story.isti.cnr.it/ (but most of those documents are in Italian).

The main aim of ISTI-CNR is to advance science and achieve important results in many Computer Science subdomains. ISTI is organized in 13 thematic laboratories covering most if not all CS domains. ISTI collaborates with many universities and research institutions at both national and international levels. Collaborations are often related to specific research projects and consortiums. The Institute also has a very solid expertise and reputation in the design and deployment of CS infrastructures and in technology transfer activities oriented towards industry or the public administration. In addition, ISTI is strongly involved in didactics, at bachelor, masters and PhD levels. Many ISTI researchers hold courses or seminars in national universities or abroad.

The results obtained by and news about ISTI-CNR are regularly published in our newsletter “Isti News”.

For any questions please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

Latest Announcements

Seminars

Giovani in un'ora - Ciclo di seminari - Quinta parte

2024-11-27

Giulio Del Corso - "Generating a physically accurate cardiac MRI: a story of (interesting) failures and (justifiable) numerical shortcuts"Abstract: "The generation of physically accurate cardiac-MRI video sequences is a challenging topic that requires a combination of modern g...

Room: C-29

Seminars

Giovani in un'ora - Ciclo di seminari - Quarta parte

2024-11-20

Luca Ciampi - "Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting"Abstract: "Object counting estimates the number of objects in images or video frames. Studies reveal that the human brain employs two distinct methods for counting objects owing to the s...

Room: C-29

Seminars

Giovani in un'ora - Ciclo di seminari - Terza parte

2024-10-16

Gabriele Lagani - "Hebbian learning algorithms for deep neural networks: explorations and outlooks"Abstract: Deep learning systems have achieved outstanding results in various AI tasks. However, such system suffer from a number of limitations, for example in terms of energy an...

Room: C-29

Seminars

Giovani in un'ora - Ciclo di seminari - Seconda parte

2024-10-09

Saira Bano - "From Complexity to Clarity: Enhancing Cross-Modal Knowledge Distillation via Multimodal Teacher Ensembles"Abstract: Traditional knowledge distillation (KD) typically uses a large, complex teacher model, often trained to a single modality, to transfer knowledge to...

Room: C-29

Seminars

Patient Interaction – for well-being, productivity and sustainability

2024-10-08

We live in aworld of instant results and fleeting gratification. In HCI no less: the designprinciples for direct manipulation require immediate feedback and, in the caseof graphical actions, sub-second responses. In addition, computers expect us togive them our undivided atten...

Room: Aula Faedo C-29

Seminars

Giovani in un'ora - Ciclo di seminari - Prima parte

2024-10-02

Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...

Room: C-29

Seminars

A general framework for distributed approximate similarity search with arbitrary distances

2024-09-26

While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...

Room: C-29

Seminars

Model-Driven Engineering Meets Model-Based Testing

2024-09-17

In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...

Room: Faedo (C-29)

Seminars

Explainability in deep learning models applied to spatio-temporal problems

2024-09-13

Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...

Room: C-29

Seminars

Making 5G Networks Reliable for Next-generation Applications using AI

2024-05-27

The emergence of 5G technology marks a significant milestone in developing telecommunication networks, enabling exciting new applications such as augmented reality and self-driving vehicles. However, these improvements bring an increased management complexity and a special con...

Room: C-29