Ep.37 - Daniel Elton : Physics, AI, healthcare and the future of technology


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Jan 27 2024 81 mins  

In this episode we delve into the intersections of artificial intelligence, science, and the pursuit of knowledge. Our guest, Daniel Elton, a researcher with a background in physics who later transitioned into AI and machine learning, shares his insights on a wide array of topics, from epistemology to chemistry. We discuss the intricacies of AI development, the challenges in the field of medical imaging AI, and the potential of AI in future technological advancements. The conversation also touches on the ethical and practical aspects of AI in healthcare, including its current uses and limitations.

Check out Daniel’s Blog:

⁠https://moreisdifferent.blog/⁠

Key Topics Discussed:

* Transition from Physics to AI: Our guest shares his journey from studying physics to delving into the realms of AI and machine learning.

* AI in Medical Imaging: We explore the use of AI in medical imaging, discussing both its groundbreaking potential and the current challenges it faces, such as data labeling and integration into healthcare systems.

* AI Hype: We touch on the general weakness of current AIs (including LLMs), some of the hype and some of the noteworthy achievements.

* The State of AI in Healthcare: The discussion provides insights into how AI is currently being utilized in healthcare, its overhyped aspects, and the realistic applications that are making a difference.

* Ethical Considerations in AI: The conversation delves into the ethical dimensions of AI development and deployment, especially in sensitive fields like healthcare and personal data handling.

* Future of AI and Technological Advancements: We discuss exciting future prospects in AI, including the development of household robots and AI's role in advancing human capabilities.

* Challenges in AI Research and Development: Daniel sheds light on the practical challenges in AI research.

* The Role of AI in Drug Discovery and Development: A look at how AI is impacting the field of drug discovery, the potential it holds, and the complexities involved in this process.

* Physics, Energy and Technology: We talk briefly about physics, nuclear energy and technology.



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