Compared to the previous article on “Intelligent Driving” (click to view), this article’s theme “Vehicle Networks” has more room for imagination. Many people have a rough outline of intelligent driving and can see a boundary, but their awareness of vehicle networks is not as clear. Today, let us explore the possibilities of “Vehicle Networks” and … Read more
â–²Click above Leiphone to follow Written by | Wang Jinwang Reported by Leiphone (leiphone-sz) Leiphone reports that on March 8, Google added continuous conversation (multi-turn interaction) capabilities to its screen-equipped smart speakers, including Google Home Hub, Lenovo Smart Display, JBL Link View, and LG XBOOM AI ThinQ WK9. This is to solve the problem of … Read more
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
In the era of Industry 4.0, predictive maintenance of equipment has become an important development direction for the manufacturing industry. I remember when I implemented an equipment management project at a large steel plant last year, the client proposed a seemingly impossible requirement: to use the existing S7-1500 PLC to implement a simple AI algorithm … Read more
When Smartwatches Can Translate Sign Language in Real Time Have you ever thought that a chip the size of a fingernail could run face recognition? MIT Han Lab’s open-source TinyML technology is making these sci-fi scenarios a reality. This groundbreaking technology has been successfully deployed in over 100,000 IoT devices, with WIRED and MIT News … 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
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
Recently, I encountered an interesting challenge in a production line renovation project at a large pharmaceutical company: how to use real-time data collected from the Siemens S7-1500 PLC, combined with AI technology, to predict equipment failures. This project made me deeply appreciate the powerful potential of combining PLC and AI technologies. Today, let me take … Read more
Decoding Siemens PLC + AI Industrial IoT Solutions, Full Process Technology from Data Collection to Intelligent Analysis Recently, I participated in a predictive maintenance project for a large steel plant. By combining Siemens S7-1500 PLC with AI technology, we successfully improved the equipment fault prediction accuracy to 93%, saving our clients approximately 2 million yuan … Read more