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AI Archives - Dr. Pei

Bottleneck – Net Admission Probability

November 2, 2026

Below is the information from Google Search. Final Definition of Sources “1.1” and “1.2” For this ultimate and definitive national macro-level model, the data-binding labels [1.1] and [1.2] track the aggregate volumes of China’s absolute elite tier in the CS/AI/EE/ECE cluster. The statistical boundaries cover the entire foundational architecture of Chinese computing and engineering dominance,… read more »

Software and Hardware vs Time by Grok

February 24, 2025

  ========1======================== Sure! Your request is to analyze the comprehensive performance of Hideo Kojima’s Metal Gear series on PlayStation platforms over time, calculate a weighted performance index (emphasizing fluidity, with stability, SF precision, and dynamic SF included), and plot it using MATLAB with the Y-axis as the index and the X-axis as time. Below, I’ll… read more »

Technology Node vs Year

February 9, 2025

As semiconductor technology advances, gaming platform hardware accelerates to meet the increasing demands of software, enhancing user interaction and enriching entertainment experiences for the general public. For example, popular video games like “Metal Gear” showcase the improvements in graphics and gameplay made possible by these advancements, allowing players to immerse themselves in more dynamic and… read more »

Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Run Time

April 22, 2026

Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Run Time Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Run Time The nonlinear Bellman equation =  linear programming problem: Primal-Dual LP Primal LP (1) Dual LP (2)   Minmax Problem (3)   Download: pdf

KL Divergence

July 14, 2019

KL Divergence In mathematical statistics, the Kullback–Leibler divergence (also called relative entropy) is a measure of how one probability distribution is different from a second, reference probability distribution. https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence Information entropy KL Divergence  

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