Student Research Archives - The Curio Cat https://www.thecuriocat.com/category/student-research/ Helping students conduct and publish A.I. research since 2020! Tue, 13 Aug 2024 00:12:16 +0000 en-US hourly 1 https://i0.wp.com/www.thecuriocat.com/wp-content/uploads/2021/01/cropped-logo-png-1.png?fit=32%2C32&ssl=1 Student Research Archives - The Curio Cat https://www.thecuriocat.com/category/student-research/ 32 32 186772812 2024 AI SIMULATION CRASH COURSES https://www.thecuriocat.com/ai-simulation-crash-courses/?utm_source=rss&utm_medium=rss&utm_campaign=ai-simulation-crash-courses Fri, 15 Sep 2023 01:25:46 +0000 https://www.thecuriocat.com/?p=2330 All New AI Simulation Crash Courses! Only $199! Pre-requisites: internet, Microsoft Excel, a Gmail account (for free access to Google Colab), pre-calculus, and a basic understanding of Python programming Instructor: Derek (BS, PE) is an expert in AI simulations. Derek’s students have 50+ publications and contributed lectures and have won numerous awards, including at the […]

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]]> All New AI Simulation Crash Courses! Only $199!

Pre-requisites: internet, Microsoft Excel, a Gmail account (for free access to Google Colab), pre-calculus, and a basic understanding of Python programming

Instructor: Derek (BS, PE) is an expert in AI simulations. Derek’s students have 50+ publications and contributed lectures and have won numerous awards, including at the Regeneron Science Talent Search and Regeneron International Science and Engineering Fair (ISEF). Please visit our Student Accomplishments page for more information.

Sign-up: please email hannah@thecuriocat.com

Crash Course 1: Math Modeling (tuition: $199)

At The Curio Cat, we build AIs that can simulate the physical world. Past simulations have included volcanic eruptions, ocean waves, sonar, and more. The first step to building an AI simulation is to create a math model. To that end, The Curio Cat is offering a 6-hour virtual crash course into math modeling!

You will learn the following (subject to change based on class needs):

  • Understand Ordinary Differential Equations (ODEs) in plain language
  • Understand Partial Differential Equations (PDEs) in plain language
  • Solve ODEs and PDEs using simple arithmetic. No calculus required!
  • Apply boundary conditions.
  • Solve PDEs in 2D and then 3D
  • Model heat, fluid, phase fields, waves, and stress.

You will receive the following:

  • 6 hours of live Zoom lectures
  • All Python codes shown in class
  • A review of your research project idea

Date: Saturday, June 15, 2024, 10 AM PST – 4 PM PST.

Crash Course 2: Introduction to Physics Informed Machine Learning (tuition: $199)

Do you understand how to solve math models? Great! But how do you teach an AI to do the same thing? In this course, we will show you how to teach an AI to understand ODEs and PDEs.

You will learn the following (subject to change based on class needs):

  • Mathematics of neural networks
  • Generate machine learning datasets from ODEs and PDEs
  • Data preprocessing
  • Neural network architecture
  • Neural network training methodology
  • Postprocessing
  • Validation

You will receive the following:

  • 6 hours of live Zoom lectures
  • All Python codes shown in class
  • A review of your research project idea

Date: Sunday, June 16, 2024, 10 AM PST – 4 PM PST.

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]]> 2330 2022 Summer Program – Self-Learning AI!!! https://www.thecuriocat.com/2022-summer-program-self-learning-ai/?utm_source=rss&utm_medium=rss&utm_campaign=2022-summer-program-self-learning-ai Fri, 13 May 2022 23:21:24 +0000 https://www.thecuriocat.com/?p=1502 Hello parents and curious students. The theme for this year’s Summer Program has finally been unveiled: Self-Learning AI! A self-learning AI, otherwise known as an unsupervised neural network, is an AI that can teach itself to do a task. For example, an unsupervised AI can teach itself to play an arcade game. The more the […]

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]]> Hello parents and curious students. The theme for this year’s Summer Program has finally been unveiled: Self-Learning AI! A self-learning AI, otherwise known as an unsupervised neural network, is an AI that can teach itself to do a task. For example, an unsupervised AI can teach itself to play an arcade game. The more the AI plays or “trains”, the smarter the AI will become. Eventually, the AI will become unbeatable. As a second example, an unsupervised AI can teach itself the laws of physics. Once an AI learns physics, it can predict the state of a physical system for any given time step. In other words, this AI will be able to see into the future! Wow!! Note that while other “solvers” can also look into the future, an AI can do this task with unprecedented speed.

While the main theme of this year’s Summer Program is the unsupervised neural network, we will also cover supervised neural networks, some applied mathematics, and a bit of data science. I am so excited for this year’s Summer Program! If you haven’t signed up already, please check out our new flyer:

2022_THECURIOCAT_FLYERDownload

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