On-Device Training and Transfer Learning - Lecture 15
Explore on-device training and transfer learning techniques, focusing on memory bottlenecks, efficient algorithms like TinyTL, and system support for optimized on-device training.
On-Device Training and Transfer Learning - Lecture 15
Explore on-device training and transfer learning techniques, focusing on memory bottlenecks, efficient algorithms like TinyTL, and system support for optimized on-device training.
TinyEngine - Efficient Training and Inference on Microcontrollers - Lecture 17
Explore TinyEngine library for efficient neural network training and inference on microcontrollers. Learn techniques to optimize deep learning for resource-constrained devices.
MCUNet: TinyML on Microcontrollers - Lecture 10
Explore MCUNet for TinyML on microcontrollers, covering efficient neural architecture design and deployment strategies for resource-constrained devices.
MCUNet: TinyML on Microcontrollers - Lecture 10
Explore MCUNet for TinyML on microcontrollers, covering efficient neural architecture design and deployment strategies for resource-constrained devices.
TinyEngine and Parallel Processing - Lecture 11
Explore TinyEngine and parallel processing techniques for efficient machine learning on resource-constrained devices, enhancing performance and reducing energy consumption.
QML/QiML Technology for Medical Regulatory Agency Review - November 9, 2023
Explore QML/QiML technology for medical regulatory review, covering key organizations, fundamental areas, and specific medical research applications. Gain insights into FDA guidelines and next steps.
Adversarial Machine Learning: Beyond Manipulating Pixels and Words
Explore vulnerabilities in sequential machine learning and challenge assumptions about imperceptible attacks on image classification through human behavioral studies.
Vocal Tract Modeling and Vocal Aging - Part 1
Explore vocal tract modeling and vocal aging concepts in this comprehensive lecture, focusing on key principles and research findings in speech processing.
Challenges and Advancements in Speaker Diarization and Recognition for Naturalistic Data
Explore advancements in speech technology for analyzing human interactions, focusing on child learning spaces and NASA APOLLO missions. Gain insights into ML-based audio processing and diarization techniques.
Personalized Speech Enhancement: Data- and Resource-Efficient Machine Learning
Explore data-efficient machine learning techniques for personalized speech enhancement, focusing on modularized models and self-supervised learning to achieve user-specific improvements with minimal data.
Speech, Language, and Machine Learning
Explore speech, language, and machine learning concepts with Jeff A. Bilmes from the University of Washington in this comprehensive lecture.
Cellular Cooperation in Cochlear Mechanics
Explore contrasting views of cochlear mechanics, including Hopf bifurcations and 3-D simulations, to understand nonlinear cochlear responses and their implications.
UBM-based Acoustic Modeling for ASR - 2009
Explore advanced UBM-based acoustic modeling techniques for automatic speech recognition, enhancing ASR system performance and accuracy.
Speech Recognition - 2000
Explore fundamental concepts and techniques of speech recognition, including acoustic modeling, language modeling, and decoding algorithms.
3D Human Body Modeling - From Basics to Advanced Techniques
Explore 3D human body modeling techniques, from basic 3D vision to advanced pose estimation and motion synthesis using LLMs, for applications in surveillance and human-computer interaction.
An Implementation of Sub-Space Model Based Automatic Speech Recognition - 2009
Explore advanced speech recognition techniques using sub-space models in this in-depth implementation guide from Johns Hopkins University's CLSP.
Motor Cortex Circuits for Motor Control and Learning
Explore motor cortex circuits' role in control and learning. Gain insights from UCSD expert Dr. Takaki Komiyama on neural mechanisms underlying movement.
Data-Driven Scalable Composites Manufacturing Processes
Explore data-driven approaches revolutionizing composite manufacturing, transforming traditional methods into adaptable, efficient, and scalable systems.
Materials Discovery in Challenging Spaces with Machine Learning - Lecture 32
Explore materials discovery using machine learning, focusing on transition metal complexes and metal-organic frameworks with Prof. Heather Kulik from MIT.
Akamas: Autonomous Performance Optimization
Explore autonomous performance optimization techniques for complex IT systems using AI-driven approaches and continuous experimentation methodologies.