The Present and Future of AI-Driven Robotics [Part 2:2]

In this second part of our AI mini series, we're back with another thought-provoking episode of delving into into the complex world of AI ethics and the transformative role of artificial intelligence in manufacturing. Our guest, Ronnie Vuine, CEO and founder of Microspi Industries, brings a wealth of knowledge from the forefront of AI development for robotics. Legal disclaimer: The views, information, or opinions expressed during the ReAutomated podcast series are solely those of the individuals involved and do not necessarily represent those of Universal Robots. Universal Robots is not responsible for any of the information contained in the podcast series. This podcast does not constitute professional advice or services. Universal Robots is not responsible for any losses, damages, or liabilities that may arise from the use of this podcast. Listeners should consult with a professional for specific advice tailored to their situation. Key discussions in this second part includes: - The evolving landscape of manufacturing jobs, highlighting a trend among youth that is challenging traditional manufacturing roles. - A fascinating comparison between the AI in large language models, like ChatGPT, and the distinct AI technologies used in robotics. - The ethic implications of AI - Addressing the buzz around AI among C-level executives, and emphasizing the practical approach of demonstrating AI's efficacy to win over engineers in the manufacturing sector. - An intriguing perspective on how AI is set to revolutionize our world in ways we can scarcely imagine - and the software that follows Ronnie Vuine's insights not only shed light on the current and future state of AI in manufacturing, but also spark meaningful conversation about the ethical considerations and implications of these rapidly advancing technologies. Tune in to this episode of "ReAutomated" for an insightful, precise, yet approachable discussion that bridges the gap between complex AI concepts and their real-world applications in manufacturing.