IEEE Educational Events

Enhancing STEM Education through AI-Assisted Tutoring
Enhancing STEM Education through AI-Assisted Tutoring 150 150 ieeeeduweek

AI-Assisted Tutoring represents a transformative approach to education in Science, Technology, Engineering, and Mathematics (STEM) fields. This innovative educational model integrates artificial intelligence (AI) technologies to create personalized learning experiences, addressing the unique needs and learning styles of each student. The core of AI-assisted tutoring lies in its ability to analyze vast amounts of data, including student performance metrics, learning preferences, and engagement levels, to tailor educational content and methodologies.

The system employs algorithms and machine learning techniques to identify knowledge gaps, predict learning outcomes, and adapt instructional strategies in real-time. This dynamic approach ensures that students receive targeted support in areas where they need it most, promoting deeper understanding and retention of complex STEM concepts. Moreover, AI-assisted tutoring can simulate one-on-one interaction, providing immediate feedback and guidance, thereby fostering a supportive and responsive learning environment.

The integration of AI in STEM education has the potential to revolutionize traditional teaching paradigms by making learning more accessible, efficient, and effective. It can bridge educational gaps, enhance student performance, and inspire a generation of learners to excel in STEM disciplines. This abstract explores the potential of AI-assisted tutoring to transform STEM education, highlighting its benefits, challenges, and future prospects in nurturing the next wave of innovators and problem-solvers.

 

A Call to Action: Uniting Tech Innovators, Policy Leaders & Businesses to Safeguard Digital Privacy
A Call to Action: Uniting Tech Innovators, Policy Leaders & Businesses to Safeguard Digital Privacy 150 150 ieeeeduweek

The presentation discusses the challenges in achieving digital privacy and the important role of technologists and policymakers while encouraging engagement from individuals and businesses.

When talking about the complexity and the importance of digital privacy, there is currently a balancing act between privacy rights and technological advancements. As technologies in digital privacy, like encryption techniques, continue to evolve, it will be essential for policymakers, businesses, and individuals to work together ensuring that personal data is protected, and privacy rights are upheld in the digital age.  In building trust, collaboration among technologists, policymakers and businesses must effectively address digital privacy challenges and protect consumer rights.

To help bridge the digital privacy and communication gap between technologists and policymakers, as well as building trust among the public at large and businesses, this presentation will also include discussion on the IEEE Digital Privacy Model.  The model is intended not to provide a prescription and implementation of solutions but serves as a vehicle for productive discussion on covering the broad and dynamic aspects of digital privacy issues.

To learn more about the work and how you can get involved with IEEE Digital Privacy Initiative and/or to keep apprised of future events such as the Reframing Privacy in the Digital World workshop, please visit:  https://digitalprivacy.ieee.org 

Revolutionize Electronic Design Automation (EDA) with AI: Unlocking the Power of Generative Adversarial Networks in High-Speed Receiver Modeling
Revolutionize Electronic Design Automation (EDA) with AI: Unlocking the Power of Generative Adversarial Networks in High-Speed Receiver Modeling 150 150 ieeeeduweek

Join us for an exciting virtual event on “AI for Electronic Design Automation,” where we will delve into the revolutionary applications of machine learning and artificial intelligence in the field of electronic design. Our featured speaker, Priyank Kashyap, a Hardware Engineering Specialist at Hewlett-Packard Enterprise, will showcase the use of generative adversarial networks in modeling high-speed receivers, addressing complex multi-physics problems like thermal analysis of PCBs and 3D-ICs, and exploring the potential of current models like LLMs in electronic design flows. This event promises to be a captivating deep dive into the cutting-edge technologies shaping the future of electronic design!

 

Protecting Digital Rights in the AI-driven and post-GDPR Era
Protecting Digital Rights in the AI-driven and post-GDPR Era 150 150 ieeeeduweek

Prof. Massimo Farina, from the University of Cagliari (Italy) will present a talk on how  algorithmic, AI (Artificial Intelligence)-driven, and post-GDPR (General Data Protection Regulation) European realm affects digital communication rights. Prof. Farina will tackle aus issues related to the distribution right of digital content within the new paradigms driven by AI-powerd content creation tools.

The talk will be followed by a Q&A session and by a meeting of the Directorial Board of the IEEE Broadcasting Chapter in Romania.

3rd IEEE SUMMIT On Artificial Intelligence in Infromant
3rd IEEE SUMMIT On Artificial Intelligence in Infromant 150 150 ieeeeduweek

The Department of Computer Science at The University of Faisalabad proudly presents the IEEE Summit 2023, an event that demystifies the advanced realm of Artificial Intelligence (AI). This summit is a confluence of pioneering experts, inquisitive researchers, and eager learners, uniting to explore the horizon of AI in a comprehensible manner. In this dynamic forum, we invite you to partake in an intellectually stimulating dialogue that unveils the boundless potential of AI, steering us toward a more connected, intelligent, and accessible future.

Curso Introductorio a Python Orientado a Visión Artificial – Para Iniciantes
Curso Introductorio a Python Orientado a Visión Artificial – Para Iniciantes 1080 1080 ieeeeduweek

El capitulo técnico Robotic and Automation Society te invita a participar en el curso introductorio de Python orientado a la visión artificial.
En colaboración por USFQ , UPS Y ESPOL.
Fecha: 18 al 27 de Julio
Hora: 19h00-21h00pm 
 Inscribete: https://forms.gle/i9vNf3jdbinsEGfN7

Sustainable Deep Learning for Self-Driving Cars
Sustainable Deep Learning for Self-Driving Cars 150 150 ieeeeduweek

At the heart of modern self-driving cars is a complex artificial intelligence system consisting of deep neural networks that perform billions of computations per second to process input images and other sensory data to help the vehicle understand the surrounding environment and make the right control decision. Many state-of-the-art deep neural networks can easily outperform human in many recognition tasks. However, their high performance usually comes at a cost: prohibitive computational complexity. This will translate to expensive hardware and high energy consumption which is not environmentally sustainable. Current research is focusing on developing new architectures that achieve similar level of performance whilst having much less computational cost and model complexity. In this seminar, Dr Pham will explain several important deep learning technologies that underpin successful designs to address the challenge and illustrate how they can be used to develop advanced “green” semantic segmentation models. It is expected that the audience will be able to apply key ideas in this talk to solve their problems in computer vision and related domain in a more environmentally sustainable way.

IEEE DISTINGUISHED LECTURE SERIES 2021 TALK ON “MEDICINE 4.0: AI AND IOT, THE NEW REVOLUTION” BY PROF. EROS PASERO
IEEE DISTINGUISHED LECTURE SERIES 2021 TALK ON “MEDICINE 4.0: AI AND IOT, THE NEW REVOLUTION” BY PROF. EROS PASERO 150 150 ieeeeduweek

Distinguished Lecture By ,

Prof. Eros Pasero

SIREN President

IEEE I&M Society Distinguished Lecturer
Laboratorio di Neuronica
Dip. Elettronica e Telecomunicazioni  – Politecnico di Torino c.so Duca d. Abruzzi 24
10129 Torino – Italy
______________________________________
‘ Tel +39 011 0904043, +393316796014 6 Fax 0+39 011 0904216

*e-mail eros.pasero@polito.it WEB: www.neuronica.polito.it

Topic :  Medicine 4.0: AI and IOT, the new revolution

A Virtual Webinar By IEEE IMS DL 

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