Daniel Bedingfield on AI in Music, Noise Impact on Machine Learning Models, Character.AI CEO Returns to Google

Simply AI

Daniel Bedingfield discusses the future of AI in music. A study explores the impact of noise on machine learning models for voice disorder evaluation. Noam Shazeer returns to Google, raising questions about Character.AI's future. Plus, Google DeepMind researchers introduce Diffusion Augmented Agents for efficient exploration and transfer learning in reinforcement learning.
Sources:
https://www.theguardian.com/music/article/2024/aug/03/daniel-bedingfield-ai-artificial-intelligence-music-creative-industries
https://www.marktechpost.com/2024/08/02/assessing-noise-impact-on-machine-learning-models-for-voice-disorder-evaluation/
https://techcrunch.com/2024/08/02/character-ai-ceo-noam-shazeer-returns-to-google/
https://www.marktechpost.com/2024/08/02/google-deepmind-researchers-introduce-diffusion-augmented-agents-a-machine-learning-framework-for-efficient-exploration-and-transfer-learning/
Outline:
(00:00:00) Introduction
(00:00:40) ‘We have to adapt or die’: Daniel Bedingfield says AI is music’s future
(00:02:57) Assessing Noise Impact on Machine Learning Models for Voice Disorder Evaluation
(00:05:09) Character.AI CEO Noam Shazeer returns to Google
(00:08:42) Google DeepMind Researchers Introduce Diffusion Augmented Agents: A Machine Learning Framework for Efficient Exploration and Transfer Learning