Digital Musicology: Definitions and Cognitive Systems

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Discusses simulating quantum many-body dynamics using artificial neural networks to overcome computational challenges and stabilize solutions.

Explores structure modeling exercises using Jupyter Notebooks for better understanding equations and related phenomena.

Explores computational methods to predict COVID-19 therapeutic mechanisms through drug repurposing and machine learning.

Explores Laplacian solvers, covering approximate solutions, applications, error conversion, and theoretical advancements in computational methods.

Covers variational methods and time-dependent principles in computational quantum physics.

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Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.