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Tuesday, October 22, 3:30-4:30 PM

Physics Building, Room 104

Marco Buongiorno Nardelli

University of North Texas

Abstract

Artificial Intelligence is the field of developing computers and robots that are capable of behaving in ways that both mimic and go beyond human capabilities. AI-enabled programs can analyze and contextualize data to provide information or automatically trigger actions without human interference. Today, artificial intelligence is at the heart of many technologies we use, including smart devices and voice assistants such as Siri on Apple devices. Companies are incorporating techniques such as natural language processing and computer vision — the ability for computers to use human language and interpret images ­— to automate tasks, accelerate decision making, and enable customer conversations with chatbots. All this has been made possible by decades of research into artificial neural networks, the core of such technologies.

In the occasion of the Nobel prize in Physics 2024 to John Hopfield and Geoffrey Hinton “FOR FOUNDATIONAL DISCOVERIES AND INVENTIONS THAT ENABLE MACHINE LEARNING WITH ARTIFICIAL NEURAL NETWORKS” I will discuss the fundamental principles of neural network architectures and how Hopfield and Hinton’s studies have helped shape the current landscape of generative AI.

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