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Math circle and AI classes restarting after January 12th, 2025.
Let's explore this transforming technology. Let's shape the future of AI together.
As a non-profit, we provide an environment for middle and high-school students to safely explore AI through math, projects, use-cases, research, events, and competitions. Beyond mere discussion and theoretical learning, students actively engage with AI, gaining hands-on experience and interpersonal skills.
If you are interested in becoming a member or in helping as a mentor, we welcome all motivated minds to join and contribute to Midtown AI.
Through coding labs, data projects, and working on end-to-end AI systems, students will gain applied skills to engineer innovative AI solutions and become proficient AI developers.
Through readings, discussions, workshops, presentations, talks by industry leaders, and hands-on team projects, students will build business and leadership capacities to navigate the rapidly-evolving AI space.
Through reading, experiments, presentations, collaborations, and participating in the global research community, students will gain abilities to understand and advance AI research.
The engineering track provides students with technical skills required to build AI systems by ...
Programming in Python using popular AI libraries like TensorFlow and PyTorch
Transforming data - collecting, cleaning, labeling, processing data for AI
Using Math fundamentals like linear algebra, calculus, statistics, optimization
Training, evaluating and optimizing deep learning models
Learning algorithm for computer vision, NLP and speech models for perception tasks
Building robots using environment simulations and reinforcement learning
Deploying AI model, APIs, using MLOps
Leveraging computational resources like GPUs, clusters, cloud computing
Building a team to explore real-world datasets and join competitions
The business+leadership track helps students communicate and unite around a vision by ...
Understanding the AI industry landscape and market forces
Studying AI ethics, governance, and regulations
Exploring AI entrepreneurship and starting an AI company/nonprofit
Gaining project management skills for leading AI teams
Identifying where AI can add value in business processes and services
Developing problem framing and requirements gathering abilities
Learning AI strategy frameworks and case studies
Cultivating strategic thinking and leadership skills to complement technical AI expertise
Directing AI engineers to maximize their impact
This research track provides students with skills to explore and develop the state-of-the-art by ...
Reviewing seminal and latest research papers across core topics
Implementing research paper algorithms and methods from scratch
Keeping up with recent developments
Exploring cutting edge research areas like multi-modal learning, self-supervised learning, transformers
Designing research experiments
Participating in literature reviews, journal clubs, replicating results
Attending conferences and workshops to connect with researchers
Communicating research ideas clearly in papers, presentations, code
Building team projects, replicating papers, or proposing new methods
AI involves a lot of problem solving. Moreover AI is rarely done in isolation. By working through math problems and proofs, middle and high-school students will develop skills similar to those required for building and debugging AI systems. Our math circle allows for student collaboration and teamwork - being able to work together on complex math problems translates well to collaborating on AI projects.
In the club, students will:
Work in teams through math competition-style problems, puzzles and games that require logic, pattern recognition, and problem decomposition.
Build strong math skills in areas like linear algebra, statistics, probability, and calculus
Discuss the mathematics behind algorithms and optimization techniques.
Acquire the mindset of simplifying problems, analyzing them, and finding solutions.
AWS DeepRacer allows middle and high-school students to get hands-on with machine learning by building their own autonomous race car models and compete in races using reinforcement learning.
In the club, students will:
Learn fundamentals of AI, machine learning, and autonomous vehicles
Use AWS to train reinforcement learning models to optimize a virtual race car
Tune hyperparameters and adjust reward functions to improve model performance
Compete in simulated races against other club members
Have the opportunity to qualify for the global AWS DeepRacer League virtual circuit
A good grasp of the core concepts of Python is advised for this track.
Let's explore this transforming technology. Let's shape the future of AI together.
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