Future Trends of PLC: The Integration of Siemens PLC and AI Hello everyone, I’m Hanhan. Today, let’s discuss a hot topic: the combination of Siemens PLC and artificial intelligence. This is not some far-fetched sci-fi concept, but a new trend that is quietly changing our factory automation. Let’s take a look at what benefits this … Read more
Are you eager to master the future of artificial intelligence? Are you curious about how to embed powerful machine learning algorithms into a tiny Arduino board? Then, you definitely cannot miss the exciting TinyML theme at the 2AI/ML DevFest workshop! This article will take you deep into this event, review its highlights, and let you … Read more
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
Author: C. J. Abate (USA) Translator: Jun Qian Machine Learning (ML), as a subset of Artificial Intelligence, has been widely applied in various fields including atmospheric science and computer vision. As Dr. Matthew Stewart from Harvard University states, tinyML is an emerging discipline that enables low-resource consumption and low-power machine learning algorithms on resource-constrained microcontrollers. … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Part 1 to 19, including large model quantization, fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient Large Model Full-Stack Technology … Read more
Ceva’s NPU Core Targeting TinyML Workloads (Dylan McGrath, MPR, September 6, 2024) Ceva’s NeuPro-Nano is a licensed neural processing unit (NPU) designed for running TinyML workloads, providing up to 200 billion operations per second (GOPS) for power-constrained edge IoT devices. Compared to other competing NPU IP products aimed at IoT edge, NeuPro-Nano can function as … Read more
DeepSeek Causal Inference Module: Revealing How AI Makes Decisions Across Time and Space In today’s rapidly developing artificial intelligence landscape, can machines really trace the causes and effects of events like detectives? Today, let’s discuss DeepSeek’s causal inference module, a black technology hailed as AI’s “time and space traversing” artifact! What is Causal Inference? Imagine … Read more
Authors: Ding Chaohui, Zhang Wei, Yang Guoyu, Liu Teng Affiliations: 1.China Datang Corporation Science and Technology Research Institute Co., Ltd., Beijing 100043. Abstract: In the face of complex network security situations, attackers often employ extensive information reconnaissance, vulnerability exploitation, and obfuscation techniques to conduct malicious activities or destructive actions on the network. Although current network … Read more
Follow 👆 the public account and reply 'python' to receive a zero-based tutorial! Source from the internet, delete if infringing 1. Introduction to Python [TutorialHow to receive at the end of the article!!] [TutorialHow to receive at the end of the article!!] 1. Why Learn Python? Before learning Python, don’t worry if you have no … Read more