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The Shanghai-APCTP-Sogang workshop on Gravity, Astroparticle, and Cosmology (SASGAC 2025) is the research activity, conducted in institutes in China and Korea, among others, such as the Theory Center at Shanghai University, the Center for Quantum SpaceTime (CQUeST) at Sogang University, and the Asis Pacific Center for Theoretical Physics (APCTP).

Physics-Informed Neural Networks (PINNs) are now being applied to model holographic gravity. This is achieved by incorporating specific holographic physics laws directly into the network's training process. This PINNs-based approach allows the AI to learn gravitational dynamics consistent with quantum field theory principles and experiments.

Physics-Informed Machine Learning (PIML) offers a powerful approach for solving inverse problems. PIML integrates physical laws directly into the neural network training process. This technique has wide-ranging applications across mathematics, engineering, and the natural sciences.

Korea-Chile exchange APCTP workshop, hosted at APCTP, brings together leading international researchers to discuss recent advances in theoretical physics, covering high-energy physics, quantum field theory, and many-body physics.

The Junior Research Group (JRG), "Quantum Information, Black Holes, and Holography", at APCTP invites applications for postdoctoral positions. The deadline is December 15, 2025.

Krylov-based methods establish a precise correspondence between quantum evolution complexity and emergent gravitational dynamics. Various quantities calculated within the Krylov subspace of the double-scaled SYK model possess their own dual gravity descriptions within 2D gravity.

Dr. Ashutosh Tripathi earned his PhD in Theoretical Physics at KEK (Japan) under Prof. Jun Nishimura. His primary goal is to create strong computational frameworks linking fundamental theoretical physics with modern AI. This approach aims to solve complex open problems in high-energy and quantum many-body physics.

't Hooft's brick wall model suggests that an AdS black hole's vibrations (normal modes) act as chaotic quantum systems. Analyzing their frequency patterns shows the statistical signature of quantum chaos. This supports the idea that black holes are the universe's fastest information scramblers.

Starting September 2025, the new JRG team, "Quantum Information, Black Holes, and Holography", is established at APCTP. Our research areas are 

• Holography (gauge/gravity duality)

• Quantum information theory

• Machine learning applications in physics