Conferences  >  Informatics  >  Events for IT Students and Early Career Researchers

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Neural Networks and Artificial Intelligence, Machine Learning,    Courses and Events for Math Students and Early Career Researchers

The summer school is taking place in Denmark and is the sixteenth summer school jointly organized by DIKU, DTU, and AAU.

Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis.

Scientific Computing and Data Science,    Pattern Recognition and Image Processing, Machine Vision

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Courses and Events for Physics Students,    Scientific Computing and Data Science

While classical cryptographic schemes always have to fear the risk of being broken, in particular with the possibility that quantum computers are built, quantum cryptography promises unconditional security solely based on the laws of physics. This field of research is currently in an exciting phase in which theoretical concepts and ideas are not only experiencing the transition to experimental implementations, but are also attracting the interest of industry. The Quantum Key Distribution Summer School is a five-day programme on theoretical and experimental aspects of quantum cryptography that aims at providing high-level training to young researchers entering this field. The goal is to equip them with a solid foundation in relevant approaches and techniques, enabling them to pursue their own independent research.

Quantum Information Theory and Quantum Computing,    Cryptography, Blockchain and Information Security

This is a School organized by the ErUM-Data-Hub with support from DIG-UM.

In this school you will learn how Python code can be accelerated. A focus will be placed on numeric NumPy-like array computations. In addition, running these array computations on hardware accelerators, i.e., GPUs, will play a key role in this school. The school is intended for young researchers - especially for PhD students - who regularly work with the scientific Python ecosystem. Requirements are good knowledge of the scientific Python ecosystem, basics of the C++ programming language are beneficial.

Scientific Computing and Data Science,    Courses and Events for Physics Students

Qalypso is a 5 day Summer School being held on the beautiful island of Gozo including a crash course and hackathon on quantum computing in collaboration with quantum industry. The 2022 edition focused on Open Quantum Systems & Computation whereas the upcoming 2024 edition focuses on Precision in Quantum Information & Computation. The 2024 edition is partially financed by EU Consortium ASPECTS.

Quantum Information Theory and Quantum Computing,    Courses and Events for Physics Students

CNR - National Research Council of Italy

The pervasive influence of social media platforms has undeniably transformed the landscape of contemporary discourse. While these platforms facilitate open discussions on diverse topics, they simultaneously present significant challenges associated with misinformation and the manipulation of public opinion. With the advent of advanced Artificial Intelligence (generative AI) and Large Language Models (LLM), the dissemination of misinformation has become increasingly sophisticated, threatening the integrity of online discourse and eroding trust in institutions and among communities. It is crucial for policymakers, academics, and industry leaders to collectively address these issues. The goal of the summer school on "Artificial Intelligence for a Secure Society" is to empower individuals with the means to foster a more secure communities, both online and offline. By gathering experts from diverse fields, the program will tackle pressing challenges through the lens of AI. Participants will learn how artificial intelligence can be used to identify, analyze, mitigate, and counteract various threats, including misinformation, disinformation, fake news, orchestrated online campaigns, and information warfare.

Topics covered will include:

- Data Science

- Artificial Intelligence

- Cybersecurity

- Social networks Analysis

- Network Science

- Generative AI

- Trustworthy AI

- Explainable AI

- Neural Networks

- Machine/Deep Learning

Features of the Summer School:

- Keynotes

- Interactive lectures

- Hands-on group projects

- Networking opportunities with experts and peers

Who Can Apply:

The summer school is open to Postgraduate Students, PhD Students, and Researchers interested in Artificial Intelligence.

Deadlines:

- Early Registration: Jul 10, 2024

- Late Registration: Aug 10, 2024

Costs:

There are different participation fees for different solutions:

- Solution S1: € 1050

- Solution S2: € 800

- Solution S3: € 550

These fees are valid for early registration.

Registration costs € 150 more for late registration.

The registration fee includes:

- Attendance to all summer school talks and sessions

- Meals

- Participation to three social events

- Lodging (Single - S1, Double - S2, No Room - S3)

- Attendance certificate

For more information, please visit the summer school website https://ai4securesociety.sobigdata.it/ or contact the organizers at carmela.comito@icar.cnr.it and maurizio.tesconi@iit.cnr.it

General Chairs

- Carmela Comito (ICAR-CNR)

- Maurizio Tesconi (IIT-CNR)

- Giuseppe Manco (ICAR-CNR)

Organizing Committee

- Serena Tardelli (IIT-CNR)

- Angelica Liguori (ICAR-CNR)

- Beatrice Rapisarda (ISTI-CNR)

- Marco Avvenuti (Unipi)

- Massimo Guarascio (ICAR-CNR)

The event "Summer School on Artificial Intelligence for a Secure Society" was organized as part of the SoBigData.it project's offerings aimed at training new users and communities of the research infrastructure (SoBigData.eu).

“SoBigData.it receives funding from European Union – NextGenerationEU – National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza, PNRR) – Project: “SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics” – Prot. IR0000013 – Avviso n. 3264 del 28/12/2021.”

The event is also supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.

Email: beatrice.rapisarda@isti.cnr.it

Data Science, Artificial Intelligence, Cybersecurity, Social networks Analysis, Network Science, Generative AI, Trustworthy AI, Explainable AI, Neural Networks, Machine/Deep Learning

Training in Computer Science, Courses,    Scientific Computing and Data Science

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

South American Institute for Fundamental Research (ICTP-SAIFR)

Courses and Events for Physics Students,    Quantum Information Theory and Quantum Computing

Isaac Newton Institute for Mathematical Sciences

The school will be the starting event of the INI programme `Quantum information, quantum groups and operator algebras'. It will consist of three introductory lecture courses on the main themes of the programme. The key focus will be on integrating experts working on different topics and indicating possible directions of research interactions. The school is also open to any researchers interested in the topics, especially graduate students.

Quantum Information Theory and Quantum Computing,    Courses and Events for Math Students and Early Career Researchers

International Software Architecture Qualification Board (iSAQB®)

The next Software Architecture Gathering, presented by the International Software Architecture Qualification Board (iSAQB®) and iX magazine, will take place in Berlin from November 11-14.

The Software Architecture Gathering 2024 is the international conference highlight for all those working on solution structures in IT projects: primarily software architects, software developers, and quality assurance professionals, but also system analysts who want to communicate better with their developers. A selection of the best-known international experts will share their practical knowledge on the most important topics in modern software architecture.

Email: fdeutsch@isaqb.org

7 Tracks: Software Architecture Basics, Trends, Beyond Technology, Tech and Impact, AI-Driven Architectural Innovation, Hands‑On, Outside the Box

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This summer school is an intensive course on software techniques for data management and database management. Topics include database command translation and query optimization, query execution and indexing, row- and column-oriented storage structures and algorithms, optimistic and pessimistic concurrency control, logging and recovery, replication and high availability, scalability and cloud computing, and more. The goal of lectures and presentations is to understand classic techniques and to link them to industrial reality and to research opportunities. The target audience are recent MS graduates who have already taken 2-3 courses covering data management software and who are embarking on a career in industrial development or in academic research in related topics.

Database Technology and Design, Search Engines and Data Mining,    Information & Knowledge Management, Big Data Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The Autumn School for Information Retrieval and Information Foraging (ASIRF) focuses on recent developments in Information Retrieval and Information-Seeking behavior and their applications. Information Retrieval deals with searching in huge amounts of unstructured data. In many professional fields of work and everyday life, access to text data via search engines is one of the most important forms of access to knowledge. Information Foraging aims to model the entire process from the awareness of an information problem through selecting appropriate information sources to the actual search.

Students and lecturers will live together for a week at Schloss Dagstuhl, which guarantees the school's traditionally highly communicative and interactive atmosphere. The intended audience of ASIRF are doctoral students and young researchers working in Information Retrieval, Information Foraging, or using concepts or methods from these fields in their research

Information & Knowledge Management, Big Data Computing,    Database Technology and Design, Search Engines and Data Mining