The Center for Research in Information and Communication Technologies (CITIC) of the UDC hosted the last TIC Talk breakfast of 2024 on Tuesday, November 26, a series of meetings that combine innovation, technology, and dissemination.

The event took place at CITIC and featured two prominent presentations that offered a technical and reflective perspective on challenges and advances in the areas of machine learning and AI. The talks are designed to attract both specialists and the general public interested in the frontiers of technological knowledge.

In the first presentation, John Wendel discussed “Random asymmetries in calibration parameters of a classification neural network,” analyzing the impact of random asymmetries in the calibration parameters of classification neural networks, a key topic for improving the efficiency and accuracy of these systems in the field of machine learning.

Diego Álvarez Estévez presented “Learning with quantum kernels: the director’s cut,” a talk that delved into the field of quantum machine learning. This approach seeks to leverage the unique properties of quantum mechanics to overcome the limitations of traditional methods. During the presentation, concepts such as Quantum Feature Maps, Quantum Kernel Estimation, and Quantum Kernel Training were introduced, along with experiments evaluating the ability of these methods to generalize in various configurations and applications.

The last TIC Talk of the year allowed participants to discover the possibilities of quantum technologies applied to machine learning and reflect on the challenges they present in practical application. With this initiative, CITIC continues to position itself as a reference in the dissemination of knowledge and the promotion of technological innovation.