1. Self-Introduction and Board Introduction Hello everyone, I am “A Big Brother Rong”, and this time I am participating in the first issue of the second season of Funpack. The board used in this episode is the TinyML development board from Syntiant, a provider of deep learning solutions, which uses the NDP101 ultra-low power neural … Read more
TinyML is a miniature or small-scale artificial intelligence technology that can run on resource-constrained microcontrollers (MCUs) with features such as low latency, low power consumption, and low cost. It can perform inference tasks in AI such as keyword detection, anomaly detection, and object recognition. MCU Manufacturers Merging with AI Companies to Layout TinyML In May … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. I recently shared the first to nineteenth articles on efficient large model full-stack technology, including large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. Here is the link: Efficient Large Model Full-Stack Technology (Nineteen): Efficient Training and … Read more
Machine Learning (ML) is a vibrant and powerful field of computer science that permeates almost all digital devices we interact with, whether it’s social media, mobile phones, cars, or even household appliances. Artificial Intelligence (AI) is rapidly moving from the “cloud” to the “edge,” entering increasingly smaller IoT devices. The machine learning processes implemented on … Read more
TinyML Gesture Recognition TinyML Hands-On Workshop Have you ever visited the Harry Potter area in Universal Studios Beijing? Do you remember the magical interactive window display that became an instant hit when it opened? Many tourists lined up in Diagon Alley with wands in hand to experience the thrill of casting spells! Flowers bloom! Lights … Read more
Learn how to deploy complex machine learning models on single-board computers, mobile phones, and microcontrollers. Main Features ● Comprehensive understanding of the core concepts of TinyML. ● Learn how to design your own TinyML applications from scratch. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. Description TinyML is an innovative technology that … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology Articles 1 to 19, which includes content on large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content link is as follows: Efficient Large Model Full-Stack Technology … Read more
1. Introduction Weakly Supervised Object Localization is used to discover the location of target objects within images. Traditional object detection methods typically require precise bounding box annotations for each training sample, which can be time-consuming and labor-intensive for large-scale datasets. To address this issue, weakly supervised object localization solves the problem by using simpler annotation … Read more
1. Introduction Voice recognition, as an important method of human-computer interaction, is gradually becoming one of the core functions of smart devices. However, traditional voice recognition systems often rely on cloud servers for audio data processing and analysis, which brings issues such as latency and privacy. TensorFlow Lite provides an efficient and fast solution for … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. A while ago, I shared the Efficient Large Model Full-Stack Technology from Part 1 to Part 19, which includes content on large model quantization and fine-tuning, efficient LLM inference, quantum computing, generative AI acceleration, etc. The content links are as … Read more