Getting Started with TinyML: A Comprehensive Guide

Getting Started with TinyML: A Comprehensive Guide

This article is contributed by the community, Author Wang Yucheng, ML & IoT Google Developers Expert, Chief Engineer of the Smart Lock Research Institute at Wenzhou University.Learn more: https://blog.csdn.net/wfing Introduction to TinyML 1. Overview Pete Warden and Daniel Situnayake co-authored a book introducing how to run ML on Arduino and ultra-low-power microcontrollers, TinyML: Machine Learning … Read more

TinyML and AI on Edge Devices: A New Paradigm for Ubiquitous AI

TinyML and AI on Edge Devices: A New Paradigm for Ubiquitous AI

Many innovations in today’s edge technology began with consumer electronics and mobile devices. The smartphones, tablets, cameras, smart speakers, drones, and other devices we use in our daily lives are actually various forms of AI edge devices. These devices are embedded with many different operating systems and optimizations for specific chips to enable them to … Read more

TinyML: Edge Voice Recognition Technology

TinyML: Edge Voice Recognition Technology

1. Introduction Voice recognition technology (Automatic Speech Recognition) is a technology that converts human speech into text. For example, voice assistants like “Hey, Siri” and “Hi Alexa” are applications of voice recognition technology. Through voice assistants, users can directly control home appliances such as air conditioners, TVs, curtains, and lights using their voice, making device … Read more

Understanding LLM, SLM, and TinyML in AI

Understanding LLM, SLM, and TinyML in AI

LLM (Large Language Model) Definition: Large Language Models are AI models designed to understand and generate natural language text. They are typically based on deep learning techniques and trained on vast amounts of text data. Examples: GPT-3, GPT-4 (provided by OpenAI) BERT (provided by Google) T5 (provided by Google) Application Scenarios: Text generation Translation Sentiment … Read more

How Can IoT Development Accelerate Time-to-Market?

How Can IoT Development Accelerate Time-to-Market?

The rapid development of the Internet of Things (IoT) in the past two years is evident to industry professionals. However, as development accelerates, the difficulty of developing new devices also increases significantly. How can we achieve the best development experience while maintaining security and low power consumption, and reduce time-to-market? To excel in a task, … Read more

Build Your Own Smart Chatbot with Python

Build Your Own Smart Chatbot with Python

1. Introduction The booming development and wide application of chatbots In the e-commerce customer service sector, chatbots respond to customer inquiries at any time, quickly answer product questions, handle after-sales issues, improve customer service efficiency, and reduce labor costs; on social platforms, they can chat with users, play games, and enhance interactive fun; in smart … Read more

How to Quickly Implement Embodied Intelligence Solutions Based on NVIDIA Jetson Thor Chip?

How to Quickly Implement Embodied Intelligence Solutions Based on NVIDIA Jetson Thor Chip?

Reported by Electronic Enthusiasts (Written by Wu Zipeng), recently, embodied intelligence has become a common topic at various artificial intelligence-related conferences, and many people define 2024 as the first year of the embodied intelligence industry development, as previous explorations were mostly conceptual, while this year marks the beginning of actual demand implementation. According to the … Read more

Developing Dynamic Resource Optimization Scheduling Tool Using Industrial PC

Developing Dynamic Resource Optimization Scheduling Tool Using Industrial PC

In the field of industrial automation, achieving efficient scheduling of resources has always been an important topic. As a technical expert with 10 years of programming experience in industrial PCs, I will detail how to develop a dynamic resource optimization scheduling tool. Introduction to Dynamic Scheduling Library The Resource Optimization Framework (ROF) is a resource … Read more

Google TPU and SiFive RISC-V Cores

Google TPU and SiFive RISC-V Cores

At least it won’t let those AI accelerators be designed by Arm. After a tough 2023, the situation for RISC-V chip design company SiFive may be improving, as the company expects strong revenue growth driven by AI in 2024. Documents obtained by Bloomberg this week indicate that the second-generation processors designed for AI servers will … Read more

Understanding Embedded Artificial Intelligence

Understanding Embedded Artificial Intelligence

Introduction:Embedded artificial intelligence is a fascinating concept.Previously, I often heard students preparing for jobs or graduate school ask which has a better future: embedded systems or artificial intelligence?It turns out that adults want a more promising future, leading to the emergence of embedded artificial intelligence.This article will briefly discuss embedded artificial intelligence. Author: Mu Yang … Read more