Publications by MSDS 6372: Jacob Turner: Student: Jessica McPhaul link:
Document
Molecular Quantum Particle Algorithm (MQPA): Comprehensive Technical Document 1. Overview and Development History MQPA—Molecular Quantum Particle Algorithm—is an original quantum-classical hybrid framework developed by Jessica McPhaul over a full year of interdisciplinary work. It was designed to simulate, predict, and visualize particle-l...
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7333_module12
QTW 7333 Module 12: Convolutional Neural Networks Study Guide 1. What Is a Convolution? A convolution is the integral of the product of two functions after one is reversed and shifted. In discrete terms, we “slide” a small function (called a filter or kernel) across an input (like an image or signal), and compute an output value based on t...
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DocumentstepByStep
1. Define Your AI Chatbot Requirements Before development, decide: - Will it be fine-tuned on OpenAI’s GPT or fully custom? - Will it require Quantum, GIS, 3D modeling, molecular tracking datasets? - Do you want real-time data processing from scientific APIs? - Should it be a web-based chatbot or an API-based system? 2. Choose the AI Model ...
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stepbystep2
Step 3: Upload the Training Dataset Now, we will upload the 3D training dataset (3D_GPT_Training_Data.jsonl) to OpenAI for fine-tuning. 3.1 Download the JSONL Training Dataset If you haven’t downloaded it yet, get it here: 📂 Download 3D_GPT_Training_Data.jsonl Make sure the file is in your current working directory (where you will run the...
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StepByStep3
Step 11: Optimize & Scale Your AI-Powered GIS Tool Now that your Quantum GIS GPT dashboard is live, we will: ✅ Improve real-time performance with streaming ✅ Deploy the GIS app on a cloud server for public access ✅ Enhance 3D visualization with WebGL tools 11.1 Optimize GIS Performance with Real-Time Data Streaming To make AI analysis...
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annoyed
Step 1: Data Analysis & Visualization The histograms above show: 1. Trace Distribution: Most states have trace ≈ 1, confirming proper normalization. 2. Purity Distribution: Purity (Tr(ρ²)) varies, indicating a mix of pure and mixed states. 3. Eigenvalue Distribution: The eigenvalues are mostly positive and sum to 1, validating the dataset...
36490 sym Python (11635 sym/11 pcs)
quantumGIS
Stream Name Texaschikkita Stream URL https://rpubs.com/Texaschikkita Stream ID 9962324179 Measurement Id G-CV2648GQMK 1. Overview of GIS and Quantum Computing Integration GIS: Handles spatial data, analyzes geographic patterns, and visualizes information using maps. Quantum Computing: Solves problems with exponential complexity using quantum ...
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chatbot\
1. Define Your AI Chatbot Requirements Before development, decide: - Will it be fine-tuned on OpenAI’s GPT or fully custom? - Will it require Quantum, GIS, 3D modeling, molecular tracking datasets? - Do you want real-time data processing from scientific APIs? - Should it be a web-based chatbot or an API-based system? - streamlit - https://ch...
10614 sym Python (2246 sym/6 pcs)
capstone guided process 12
Step 1: Data Analysis & Visualization The histograms above show: 1. Trace Distribution: Most states have trace ≈ 1, confirming proper normalization. 2. Purity Distribution: Purity (Tr(ρ²)) varies, indicating a mix of pure and mixed states. 3. Eigenvalue Distribution: The eigenvalues are mostly positive and sum to 1, validating the dataset....
56872 sym Python (19079 sym/28 pcs) 3 img
7333_CS5_DRAFT
Abstract Security firewalls generate large volumes of log data detailing whether network connections are allowed or blocked. Manually analyzing these logs is labor-intensive and error-prone, motivating the use of machine learning to automate firewall decisions. This white paper investigates a Support Vector Machine (SVM) and a Stochastic Gradie...
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