When the ESP32 Development Board Meets TinyML In the intersection of the Internet of Things and artificial intelligence, the TinyML-ESP32 project has emerged as a dark horse! Supported by the Black Walnut Laboratory, this open-source project maximizes the performance of the ESP32-WROOM-32 development board, integrating hardware such as gyroscopes, microphones, and LED light groups to … Read more
TinyML is quietly changing the landscape of industrial detection, and today we will introduce a project—tinyml-example-anomaly-detection—that not only demonstrates how to use Python to train two distinctly different machine learning models for detecting motor anomalies but also reveals the entire process from data collection to model deployment. This article will give you a comprehensive understanding … Read more
Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more
Rockchip has been deeply engaged in the AI market since 2019, with its flagship AI chips RK3399Pro and RK1808 widely applied in smart homes, intelligent security, vision, gesture recognition, and smart voice fields. In the global AI chip ranking released by market research company Compass Intelligence in 2018, Rockchip ranked in the Top 20 as … Read more
In today’s rapidly advancing technological era, artificial intelligence (AI), robotics, and programming have become indispensable elements of our lives. What is the relationship between them? Let us unveil this layer of mystery. 1. AI and Programming 1. Programming is the means to achieve artificial intelligence. The development of AI relies on a large number of … Read more
Original from Big Data Digest Produced by Big Data Digest Source: Medium Translated by: Chen Zhiyan As a new dad and programmer, the question I ponder most in my new role is “Can the task of caring for a baby really be automated?“ Of course, it might be possible, even if there is a diaper-changing … Read more
The new year’s innovation competition is in full swing~ To help everyone better understand this event, the editor has organized excellent works from 2021 for learning and sharing. Every Monday, we will share award-winning works, so remember to check out the series! ~ Team Introduction Participating Unit: Shanghai University of Electric Power Team Name: Haixing … Read more
Today, let’s talk about how to use TensorFlow to enhance the interaction experience of smart home devices. Imagine that your smart speaker is no longer just capable of playing music or checking the weather, but can truly understand your needs and even predict your behavior. Isn’t that cool? Speech Recognition and Natural Language Processing The … Read more
Introduction: The Wonderful Collision of C++ and Neural Networks In today’s digital age, artificial intelligence is like a magical force, quietly yet profoundly integrated into every aspect of our lives. When you open an e-commerce app, the precisely recommended products seem to read your mind; during your drive, intelligent navigation plans the optimal route in … Read more
If you are interested in running machine learning on embedded devices but are unsure how to get started, Google’s TensorFlow Lite team member Pete Warden will introduce how to build and run your own TinyML applications. This will include an overview of the different boards, software frameworks, and tutorials available to help you get started … Read more