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AI is an integral part of many exciting business and consumer tools such as speech recognition, semantic search, recommendation systems, machine translation, and 3D sensing in consumer gaming. The AI Lab Affiliates Program brings all of these efforts together and provides a structure for industry to engage effectively. The affiliates program represents a new era of close engagement with a small number of major companies. It supports corporate interaction through organized retreats, an Advisory Board, and informal interactions. The goal is bidirectional transfer of knowledge and excitement.
Program Benefits:
- Early, facilitated access to research, faculty, and students
- Invitations to all retreats, conferences, and seminars
- Custom hosted visits to Stanford for discussion of research topics
- Participation in research collaborations
- Networking with AI Lab researchers and corporate members
- Student recruiting opportunities
- Opportunity to establish a visiting researcher at Stanford (additional charges apply)
- Facilitated access to AI Lab research results.
Courses
- From Languages to Information
- Computer Vision: Foundations and Applications
- Introduction to Logic
- Artificial Intelligence: Principles and Techniques
- Natural Language Processing
- Social and Information Network Analysis
- Machine Learning
- Decision Making Under Uncertainty
- A Computational Tour of the Human Genome
- Computational Biology: Structure and Organization of Biomolecules and Cells
- Computational Genomics
- Introduction to Robotics
- Probabilistic Graphical Models: Principles and Techniques
- Statistical Learning Theory
- Computer Vision
- Convolutional Neural Networks for Visual Recognition
- Sequential Decision Making
- Mining Massive Datasets
- Natural Language Understanding
- Deep Learning for Natural Language Processing
- Experimental Robotics
- General Game Playing
- Machine Learning
- The Cutting Edge of Computer Vision
- Mobile Computer Vision
- Information Retrieval and Web Search
You must satisfy the requirements listed in each of the following areas:
- Logic, Automata & Complexity;
- Probability;
- Algorithmic Analysis;
- Computer Organ & Sys;
- Principles of Computer Systems.