Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the cutting-edge concept of hard contextual parameter sharing in multi-task learning for tinyML applications. Delve into this innovative approach presented by Michael Gibbs from Nottingham Trent University in a concise 15-minute talk. Gain insights into how this technique is shaping the future of AI collaboration and its potential impact on resource-constrained machine learning environments.