YoVDO

Accelerate Edge Compute with Syntiant's TinyML Platform

Offered By: tinyML via YouTube

Tags

TinyML Courses Computer Vision Courses Neural Networks Courses Edge Computing Courses Low-Power Computing Courses

Course Description

Overview

Explore Syntiant's innovative TinyML platform and Neural Decision Processors in this tinyML Asia 2021 partner session. Discover how these AI-centric chips deliver 10-100x neural processing throughput while consuming significantly less power compared to MCUs. Learn about the user-friendly architecture that eliminates the need for compilers and integrates with Edge Impulse for model development and management. Gain insights into the platform's capabilities in making AI development accessible, enabling smarter products, improved privacy, reduced latency, and enhanced energy efficiency. Delve into industry growth, device requirements, always-on domain applications, and the importance of neural networks. Witness demonstrations of vision applications and data platforms, and understand how Syntiant is revolutionizing edge AI for battery-powered devices.

Syllabus

Introduction
What is driving tinyML
Industry growth
Device requirements
Alwayson domain
Why more neural
Demonstration
Neural Network
Vision
Data Platform
Conclusion
Question


Taught by

tinyML

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX