STI

Europe/Rome 2022-07-11 08:00:00 2022-07-15 22:00:00 Latin American regional workshop on SciTinyML: Scientific Use of Machine Learning on Low-Power Devices | (smr 3721) TinyML is a subfield of Machine Learning focused on developing models that can be executed on small, real-time, low-power, and low-cost embedded devices. This allows for new scientific applications to be developed at an extremely low cost and at large scale. The TinyML process starts with collecting data from IoT devices, then training the collected dataset to extract knowledge patterns; these patterns are then packaged into a TinyML model that considers the target microprocessor’s limited resources such as memory and processing power. The resulting model is then deployed on embedded devices where it is used to evaluate new sensor data in real-time. Typically, power requirements are in the mW range and below which enables a variety of use-cases targeting battery operated devices. TinyML represents a collaborative effort between the embedded power systems and Machine Learning communities, which traditionally have operated independently. Topics: • ML general concepts • Introduction to TinyML • Getting started with the TinyML training kit • Examples of TinyML applications • Scientific Applications of ML Registration: There is no registration fee. Priority will be given to the participants from Latin America that are part of the ICTP TinyML Academic Network.   Online - ICTP pio@ictp.it 11 Jul 2022 - 15 Jul 2022

Europe/Rome 2022-10-03 08:00:00 2022-10-14 22:00:00 African Capacity Building Workshop on Space Weather Effects on GNSS | (smr 3741) ICTP ICTP pio@ictp.it 3 Oct 2022 - 14 Oct 2022

Europe/Rome 2022-10-03 08:00:00 2022-10-07 22:00:00 Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3739) An ICTP-IAEA Hybrid Meeting. You can submit your application for participation in presence or online. Citizen Science involves the public in scientific projects and can play an important role in generating large datasets. The convergence of data-driven Citizen Science projects and machine learning techniques can help tackle scientific and societal challenges. The lectures cover the following topics: Introduction to Citizen Science Introduction to Open Science Basic concepts/tools for Machine Learning techniques Challenges and opportunities of using Machine Learning in Citizen Science Ethical aspects of Machine Learning in Citizen Science Machine Learning for nuclear science, technology and applications Using Machine Learning and Citizen Science to address the UN Sustainable Development Goals Call for Contributed Abstracts: In the application form, all applicants are encouraged to submit an abstract. A limited number of abstracts will be selected for poster presentation. If applicable (see Grants section below), presenters may be awarded a grant to support their in-person attendance. Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries and to those submitting an abstract. There is no registration fee.   ICTP ICTP pio@ictp.it 3 Oct 2022 - 7 Oct 2022

Europe/Rome 2022-11-07 07:00:00 2022-11-11 21:00:00 International Workshop on Machine Learning for Space Weather: Fundamentals, Tools and Future Prospects | (smr 3750) Buenos Aires - Argentina ICTP pio@ictp.it 7 Nov 2022 - 11 Nov 2022