Welcome to the Hands-On Training In Applied Artificial Intelligence and Machine Learning (HoT-AML) Program! 

Program Description

The Hands-On Training in Applied AI/ML (HoT-AML) program is tailored to provide students, researchers, and faculty in the state of Idaho with specialized skills in AI/ML and its applications. Integrated within the I-CREWS framework, this program is dedicated to translating theoretical understanding into practical expertise to promote innovation and excellence in applied AI/ML. Participants will engage in hands-on learning, which prepares them to address real-world challenges with cutting-edge AI/ML solutions. 

Key Program Components

• Build AI/ML Fundamentals: Develop a strong foundation in AI and ML concepts, with practical applications emphasized throughout the program.

• Master ML Techniques: Master various ML algorithms and gain hands-on experience in applying them effectively.

• Create Robust ML Models: Learn to apply sound methodologies for developing reliable and robust ML models.

• Engage in Real-World Projects: Reinforce theoretical knowledge through practical examples, exercises, and projects that reflect real-world scenarios.

• Apply Physics-Informed Neural Networks (PINN): Understand and implement physics-informed neural networks (PINNs) to integrate physical laws with ML.

• Implement ML-Based Solutions: Develop skills to implement ML-based solutions for real-world problems.

Funding and Collaboration

This program, which is in collaboration with the Center for Advanced Energy Studies (CAES), is made possible through the generous support of the NSF I-CREWS.