Lectures related to Color blindness

Covers human spectral sensitivity to color and the use of Look Up Tables (LUT) in image processing.

Explores the construction of Ramanujan graphs using polynomials and addresses challenges with the probabilistic method.

Explores interlacing families of polynomials and 1-sided Ramanujan graphs, focusing on their properties and construction methods.

Explores interlacing families, Ramanujan graphs, and their construction using signed adjacency matrices.

Covers the Poisson Paradigm, including the First/Second Moment Method and Martingales, discussing dependency graphs and Chernoff bounds.

Explores the theory of martingales, including conditional expectations, Chernoff bounds, and Azuma's inequality.

Explores interlacing polynomials, real rooted theorems, and pseudo-probabilistic methods in polynomial analysis.

Explores pseudorandomness theory, AI challenges, pseudo-random graphs, random walks, and matrix properties.

Explores Hertz theory for contact problems and the Tabor measurement method.

Explores the FKG inequality in percolation theory and the reverse FKG theorem.

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

Explores the relationship between movement and architecture, focusing on the collaboration between choreographers and designers.

Covers the energy and radiation of LEDs, transitions in energy levels, and color synthesis.

Explores Ramanujan graphs, generating functions, non-backtracking walks, and expander graphs in relation to NP-hard problems.

Explores electric fields, energy storage, charge displacement, DC currents, and historical aspects of electricity.

Explores Brun's Sieve, Martingales, and Conditional Expectations in probability theory.

Covers Cartesian equations in analytical geometry, focusing on encoding line directions and unique equations.

Explores advanced Adobe color settings and PDF optimization techniques.

Focuses on open problems and the importance of reformulating problems with better tools and intuition.