Se fue de visita al Congreso Nacional de Estudiantes de Energías Renovables 2025 Bldg: Instituto de energías renovables UNAM, Privada Xochicalco S/N. Col. Centro, 62580, Temixco, Morelos, Temixco, Morelos, Mexico, 62580

The fields of Computational Intelligence and Robotics were strongly connected in the early days of AI, but have since diverged. Typical student curricula concentrate on AI or on robotics, but rarely on both. Students in one area are seldomly aware of the concepts, methods, and achievements in the other one. This Summer School aims at filling this educational gap, by forming the next generation of researchers that will realize integrated intelligent robots. Students will be exposed to technologies at the forefront of research in AI and in Robotics. Despite this separation, many now feel that the two fields ought to be brought together towards the development of fully integrated intelligent robots. The School on AI and Robotics provides a concrete step to fill this educational gap, and to create the next generation of researchers who will realize integrated intelligent robots. These researchers should be familiar with the methods in the two fields, and should be able to work across their traditional boundaries. They should combine theoretical insights from both areas with practical understanding of physical robotic systems. This School will provide graduate students in AI and in Robotics a unique training and human experience. Students will be exposed to technologies at the forefront of research in AI and in Robotics. They will have the opportunity to discuss their research work with top level scholars as well as other students, and to extend their networks. Bldg: Unidad Profesional Interdisciplinaria de Ingeniería "Alejo Peralta", C. 11 Sur 12122, San Francisco Mayorazgo, Puebla, Puebla, Mexico

The IEEE Electron Devices Society (EDS) Cinvestav Zacatenco Student Chapter, in collaboration with the Department of Electrical Engineering – Section of Solid-State Electronics (SEES), Cinvestav, is pleased to host this IEEE EDS Distinguished Lecture as part of the global FET100 campaign, celebrating 100 years of the Field Effect Transistor. The event is open to students, researchers, and professionals interested in electronics, semiconductors, and solid-state devices. Co-sponsored by: Department of Electrical Engineering – Section of Solid-State Electronics (SEES), Cinvestav, Mexico; CCE 2025 – International Conference on Electrical Engineering, Computing Science and Automatic Control Speaker(s): Charvaka, PhD, Agenda: MTM_7-2025 – Schedule Time Activity Speaker 10:20 – 10:25 Opening and Welcome Remarks Host and Facilitator 10:25 – 11:20 Advanced Electrostatic Discharge (ESD) Technology Issues Charvaka Duvvury, PhD. – Distinguished Lecturer Room: Auditorium Ing. Jorge Suárez Díaz, Bldg: Cinvestav, Department of Electrical Engineering, Avenida Instituto Politécnico Nacional 2508, Colonia San Pedro Zacatenco, Miguel Bernard La Escalera, Mexico City, Mexico, Mexico, 07360, Virtual: https://events.vtools.ieee.org/m/500815

Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that have the ability to address competitive resource allocation problems together with detection and mitigation of anomalous behavior. In this talk, we discuss their use in next-generation NextG) communications within the context of cognitive networks to address: i) spectrum sharing, ii) detecting anomalies, and iii) mitigating security attacks. GANs have the following advantages. First, they can learn and synthesize field data, which can be costly, time consuming, and nonrepeatable. Second, they enable pre-training classifiers by using semisupervised data. Third, they facilitate increased resolution. Fourth, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs, a comparative discussion on different kinds of GANs, performance measures for GANs in computer vision and image processing as well as wireless applications, a number of datasets for wireless applications, performance measures for general classifiers, a survey of the literature on GANs for i)–iii) above, some simulation results, and future research directions. In the spectrum sharing problem, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional autoencoder for an outlier detection problem in spectrum sensing. Co-sponsored by: Instituto Politécnico Nacional - Unidad Profesional Interdisciplinaria de Ingeniería "Alejo Peralta" Speaker(s): Ender Ayanoglu Bldg: Unidad Profesional Interdisciplinaria de Ingeniería "Alejo Peralta", Instituto Politécnico Nacional, Calle 11 Sur 12122, San Francisco Mayorazgo, Puebla, Puebla, Mexico, 72480

Can AI models be like scientific instruments? Modern ML/AI models are incredibly complex: they are expensive to train and use and often lack interpretability. In this talk, I will explore some recent results centered on the relationship between AI models and classical measurement technologies like scientific instruments. The latter are grounded in physics whereas the former are “data driven”: this leads to some very basic questions that we need to understand: how should we measure how models differ from each other and how do they change through training? We can use some tools from "old school" statistics/probability to get some handle on this in terms of understanding variability during training and using AI models as "instruments" to look at other models. While much of this work is empirical, the findings point to some interesting directions for theory and engineering. This talk is based on joint work with Sinjini Banerjee, Reilly Cannon, Sutenay Choudhury, Tony Chiang, Ioana Dumitriu, Andrew Engel, Natalie Frank, Tim Marrinan, Max Vargas, and Zhichao Wang. Co-sponsored by: Univseridad Michoacana de San Nicolás de Hidalgo Agenda: - 1:00-1:105 Welcome and Distinghisehd Lecture Speaker Introduction - 1:10 - 2:10 Can AI models be like scientific instruments? - 2:10 - 2:40 Question and Answer session Bldg: Omega II, Posgrado de Ingeniería Eléctrica, Ciuda Universitaria, Morelia, Michoacan de Ocampo, Mexico, 58030

This year it will be held together with ExpoRobots@USBI v3.0, we will have national exhibitors and a discussion table on cyber-physical systems. The first competition for line-following robots will be held. Agenda: This year it will be held together with ExpoRobots@USBI v3.0, we will have national exhibitors and a discussion table on cyber-physical systems. The first competition for line-following robots will be held. Universidad Veracruzana Facultad de Ingeniería, BOCA DEL RIO, Veracruz-Llave, Mexico, 94294