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Explore Madhava's groundbreaking mathematical contributions, including calculus foundations, infinite series, and abstract approaches, in this lecture by P P Divakaran on the 14th-century Kerala mathematician's life and work.
Explore Madhava's groundbreaking calculus work, including curve length definitions, tangent lines, and integral concepts. Gain insights into his mathematical innovations and their historical significance.
Explore Madhava's groundbreaking mathematical contributions, including calculus innovations, and his impact on Kerala's mathematical renaissance. Gain insights into his life and historical context.
Explore genetic drift, inbreeding, and effective population size through probability theory, distributions, and evolutionary concepts. Gain insights into population genetics and its applications in evolutionary biology.
Explore topological phases in quantum matter, from quantum Hall effect to topological insulators and superconductors. Learn about edge states, bulk-boundary correspondence, and current frontiers in this fascinating field of physics.
Explore topological phases in many-particle systems, covering quantum condensed matter physics, electronic phases, and the tenfold way. Gain insights into topological insulators and their potential technological applications.
Explore geometric phases in physics, from historical discoveries to modern applications. Delve into mathematical foundations, experimental demonstrations, and implications for optics and quantum mechanics.
Explore geometric phases in quantum mechanics, from foundational concepts to advanced topics like Berry phases and null phase curves, with applications in optics and condensed matter physics.
Explore modular theory in quantum field theory, covering observables, operators, and superselection sectors. Gain insights into correlation functions and state sewing in QFT.
Explore magnetic reconnection and plasmoid instability in the semi-collisional regime, with theoretical and numerical investigations validating its existence at lower, experimentally accessible Lundquist numbers.
Explore deep learning's loss landscape, performance, and theoretical insights. Discover connections to statistical physics, jamming, and neural tangent kernels. Gain understanding of learning dynamics and network behavior.
Explore first-order convex optimization, covering gradient descent, complexity, smoothness, and Nesterov's accelerated algorithm. Gain insights into theoretical foundations and practical applications in machine learning.
Explore Emperor Ashoka's historical impact and cultural legacy across South Asia and beyond, examining archaeological evidence, religious sites, and regional interpretations of his reign and influence.
Explore non-perturbative aspects of 3D gravity and Chern-Simons theory, focusing on Wilson lines as observables to investigate locality in quantum gravity and holography.
Explore entropy's evolving concept, from disorder measure to complex systems driver. Gain insights on self-assembly, cell recognition, and phoretic transport in nanoscale phenomena.
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