Introduction

Welcome to the I2 Research Guide, a resource created by Interactive Intelligence (I2) to help researchers, students, and practitioners navigate the rapidly evolving landscape of artificial intelligence, machine learning, and neuroscience.

What is I2?

Interactive Intelligence (I2) is a research organization dedicated to advancing the understanding of intelligent systems — both biological and artificial. Our work spans foundational theory, applied methods, and interdisciplinary research at the intersection of computer science and neuroscience.

What This Guide Covers

This guide is organized into three main research domains:

• AI Research — Covers modern AI architectures and techniques, including transformers, large language models, and prompt engineering. These topics represent the cutting edge of what AI systems can do today.

• Machine Learning — Explores the core methods that underpin AI systems: supervised learning, neural network design, and optimization. Understanding these fundamentals is essential for anyone working in the field.

• Neuroscience — Examines how biological neural systems process information, from computational models of the brain to brain-computer interfaces. These insights inspire and inform the design of artificial systems.

Who This Guide Is For

Whether you are a beginning researcher looking for an introduction to these fields, a student preparing for coursework, or an experienced practitioner seeking a reference, this guide provides accessible yet rigorous coverage of each topic.

Each article includes key concepts, explanations of core ideas, and pointers to further reading for deeper exploration.