This talk explores the transformative impact of artificial intelligence across multiple sectors, particularly emphasizing healthcare. Presenting research from TalTech, we explore how machine learning enhances the analysis of motor functions in conditions such as Parkinson’s and cerebral palsy, underscoring AI’s pivotal role in advancing medical diagnostics and treatments. The discussion also extends to AI applications in other industries, addressing both potential and challenges. Topics such as low interpretability of AI systems, and the importance of understanding training bias to ensure accurate and fair outcomes will be examined, aiming to broaden perspectives on AI’s transformative role beyond healthcare.
Key Takeaways:Attendees will
- gain insights into how AI is revolutionizing not just healthcare but multiple industries, enhancing operations, efficiencies, and creating new opportunities.
- learn about the critical challenges in AI development, such as how low interpretability and training biases can affect practical applications and fairness.
- leave with a foundational understanding of AI learning principles, including an explanation of how model parameters are adjusted during training, equipping them with basic knowledge to appreciate the mechanics behind AI models.
