The Hudson River waterfront near Stuyvesant High School

Stuyvesant High School · New York City

Surf the wave.
Make an impact.

A student-led AI club where research becomes publications, ideas become working projects, and learning reaches beyond the classroom.

Curiosity, connected.SurfAI / Research
QUESTIONEXPERIMENTINSIGHT
First place · NYC TerraFairSoftware / Robotics category
1stTerraFair · Software / Robotics
7Published journal issues
4Hands-on learning labs
15,010Site views · archived total

Learning alongside
our collaborators

E.F. HuttonCohen & CompanyAIYGO
A researcher examining a sample through a microscope
Research.Ask better questions.
Share useful answers.
Research in practice · illustrative photo by CDC / Unsplash

Read. Research. Publish.

Build something worth sharing.

Research and publications are at the center of SurfAI. We turn curiosity into questions we can test, explain, and share.

A publication-heavy club

Our journal makes complex developments in AI, finance, and science easier to investigate and discuss.

Experience that goes beyond a demo

We bring hands-on research and publication experience, including first place in TerraFair’s Software / Robotics category.

AI education that helps people

We connect technical curiosity with community needs, especially healthcare and medicine.

Inside our research culture

A foundation for every curious mind

Understand the ideas behind AI.

Nine starting points. Real concepts, useful examples, and a next step for each.

01

Machine learning

How a model learns relationships from examples. Separate training data from test data before measuring performance.

Train a baseline
02

Neural networks

Layers transform inputs into useful representations. See how weights and a loss function guide learning.

Explore the layers
03

Language & transformers

Tokens and attention help models relate one part of a sequence to another. Context is useful; it is not a guarantee of truth.

Try attention
04

Computer vision

Learn how models locate, classify, and track patterns in images. Lighting and camera angle can change a prediction.

Open the camera lab
05

Generative models

Diffusion and autoregressive models generate new samples. Compare a plausible output with evidence from the real world.

Understand generation
06

Reinforcement learning

An agent learns from rewards. A high reward can still miss the goal if the reward is poorly specified.

Study reasoning
07

Retrieval & agents

Retrieval adds relevant sources; agents can use tools. Build in checkpoints, permissions, and ways to recover from failure.

Trace a workflow
08

Evaluation & responsible AI

Test beyond a single accuracy score. Study precision, recall, bias, privacy, and the cost of a wrong answer.

Run an experiment
09

AI for health & science

Explore medical imaging and biological models. Ask what was validated, on which population, and under what conditions.

Read the research

The SurfAI Journal

A record of curiosity.
A habit of publishing.

Seven issues explore AI’s changing relationship with research, technology, finance, and society. Meet the ideas, follow the sources, and bring your own perspective.

Diagram of a neural network

Learn by doing

Make the model
less mysterious.

Try live gesture recognition, explore heat and health, examine pet-food labels, or experiment with image resolution. Each lab shows its method and limitations.

Pose landmarks over a raised-arm figure