Explore the intersection of machine learning and fundamental sciences in this hybrid discussion meeting organized by the International Centre for Theoretical Sciences. Delve into the potential of ML techniques to tackle complex scientific challenges across various disciplines. Discover how industry-academia collaborations can drive breakthrough research. Learn about innovative ML architectures and their applications in fields such as astrophysics, neuroscience, and physics-informed neural networks. Gain insights into cutting-edge topics like neuronal simulations, brain science acceleration, and deep lab cut techniques. Understand the importance of interdisciplinary approaches and funding strategies for advancing scientific research through machine learning.