MIT HAN Lab Courses

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Efficient Deep Learning Computing: From TinyML to Large Language Models

Explore cutting-edge research on efficient deep learning, from TinyML to large language models. Gain insights into quantization techniques and their industry applications.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Noise Robust Quantum Machine Learning - Lecture 23

Explore noise-robust quantum machine learning techniques, focusing on overcoming challenges in quantum systems for improved ML performance and reliability.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Noise Robust Quantum Machine Learning - Lecture 23

Explore noise-robust quantum machine learning techniques, focusing on mitigating errors in quantum systems for improved ML performance.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Quantum Machine Learning - Lecture 22

Explore quantum machine learning concepts and applications in this advanced lecture from MIT's EfficientML.ai series, covering cutting-edge developments in the field.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Quantum Machine Learning - Lecture 22

Explore quantum machine learning concepts and applications in this advanced MIT lecture, covering cutting-edge developments in the field.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Basics of Quantum Computing - Lecture 21

Explore quantum computing fundamentals, including qubits, superposition, entanglement, and quantum algorithms, to understand its potential impact on machine learning and computation.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Basics of Quantum Computing - Lecture 21

Explore quantum computing fundamentals, including qubits, superposition, and entanglement. Gain insights into quantum algorithms and their potential impact on machine learning.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Efficient Fine-tuning and Prompt Engineering - Lecture 20

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Efficient Fine-tuning and Prompt Engineering - Lecture 20

Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

On-Device Training and Transfer Learning - Lecture 19

Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

On-Device Training and Transfer Learning - Lecture 19

Explore on-device training and transfer learning techniques for efficient machine learning, focusing on practical applications and cutting-edge methodologies.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Explore sparse and efficient fine-tuning techniques for AI models with PockEngine, enhancing performance while reducing computational demands.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Distributed Training for Efficient Machine Learning - Part II - Lecture 18

Explore advanced distributed training techniques for machine learning, focusing on efficiency and scalability in large-scale systems.

• YouTube
• 55 minutes
• On-Demand
• Free Video