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Join Sheamus for an in-depth webinar on the exciting intersection of artificial intelligence and robotics. This session will provide a foundational understanding of how AI is revolutionizing the field of robotics, moving beyond traditional, pre-programmed systems to create intelligent, autonomous machines. Sheamus will explore the core concepts of AI that are most relevant to robotics, including machine learning, computer vision, and natural language processing. The webinar will cover practical applications and case studies, from self-navigating drones to collaborative industrial robots. Attendees will gain insight into the challenges and opportunities in this rapidly evolving field, and learn about the key technologies and skills needed to design and build the next generation of intelligent robots. Whether you are a student, an engineer, or simply curious about the future of automation, this session will provide a comprehensive and accessible introduction.

An in-depth webinar on how AI is transforming robotics, moving beyond pre-programmed systems to autonomous machines. This session covers core AI concepts—machine learning, computer vision, and natural language processing—with practical applications and case studies from self-navigating drones to collaborative industrial robots.

Join Sheamus for an in-depth webinar on the exciting intersection of artificial intelligence and robotics. This session will provide a foundational understanding of how AI is revolutionizing the field of robotics, moving beyond traditional, pre-programmed systems to create intelligent, autonomous machines. Sheamus will explore the core concepts of AI that are most relevant to robotics, including machine learning, computer vision, and natural language processing. The webinar will cover practical applications and case studies, from self-navigating drones to collaborative industrial robots. Attendees will gain insight into the challenges and opportunities in this rapidly evolving field, and learn about the key technologies and skills needed to design and build the next generation of intelligent robots. Whether you are a student, an engineer, or simply curious about the future of automation, this session will provide a comprehensive and accessible introduction.

Join Sheamus McGovern for an in-depth webinar on the intersection of artificial intelligence and robotics. This session introduces foundational AI concepts relevant to robotics (machine learning, computer vision, and natural language processing) and explores practical applications and case studies, including self-navigating drones and collaborative industrial robots. Attendees will gain insights into challenges, opportunities, and the key technologies and skills needed to design and build the next generation of intelligent robots.

In this session we will break down the stigmas on AI, and that it's not just ChatGPT and self driving cars. We will talk about how AI solutions can help any business in any sector. There will be demos of natural language processing, chatbots and predictive models. The demos will utilise the three Microsoft services: Azure AI services, CoPilot Studio and Azure AutoML. We will also go into use cases for a few key sectors including Manufacturing, Retail, Leisure, Education and Security

Large language models can 'hallucinate' factually incorrect outputs, presenting significant risks for their adoption to high-stakes applications. Jannik will present joint work recently published in Nature on detecting hallucinations in large language models using semantic entropy, which mitigates hallucinations by quantifying the model's own uncertainty over the meaning of generations. He will also discuss a recent pre-print that proposes a method to drastically reduce the cost of uncertainty quantification in LLMs by predicting semantic entropy from latent space, and he may ramble about uncertainties in LLMs more generally.

Abstract: In this talk, Dr. John E. Ortega will cover the task of machine translation (MT): the digital manner of translating documents with a machine. Specifically, John will provide a history of the major paradigms from MT including rule-based, statistical, neural, and transformer systems. Additionally, John will provide several examples of how MT works along with research-focused experimentation that would help a human translator determine what types of systems should be used for different purposes, especially the use of MT systems for translating low-resource languages. John will specifically dive into translations from Quechua (an indigenous language spoken by millions in Peru) to Finnish (a high-resource languages spoken in Finland, northern Europe).