AI chips can be categorized based on their application scenarios into cloud AI training and inference, edge AI inference, and terminal AI inference. In our article on the Top 10 Domestic AI Chips, we listed the cloud AI training and inference chips from 10 domestic AI chip companies. This article will focus on edge and … Read more
According to reports from Electronic Enthusiasts (Written by Li Wanwan), in the era of artificial intelligence, more and more AI applications need to extend from the cloud to the edge, such as smart headphones, smart cameras, smart bracelets, logistics robots, etc. Deploying AI at the edge has become a trend. With the rapid development of … Read more
▲Click above Lei Feng Network Follow Zhang Yongqian stated that the contradiction between the data generated at the edge and the limited processing capacity of the backbone network is becoming increasingly prominent. To solve this contradiction, a combination of cloud, edge, and terminal is essential. Written by | Bao Yonggang The integration of AIoT is … Read more
Author | Li Xiangjing Editor | Wu Chunqiu Source | Zhidin Technology At the hardware level, NVIDIA has proposed the Jetson product family, creating a leading edge AI platform. Meanwhile, at the software level, NVIDIA has also launched the NVIDIA TAO Toolkit and Metropolis SDK to help enterprises accelerate the creation, deployment, and expansion of … Read more
Recent advancements in artificial intelligence (AI), edge computing, and the adoption of Internet of Things (IoT) devices have converged to create opportunities for edge AI. This has opened new possibilities for edge AI that were previously unimaginable—from assisting radiologists in identifying diseases, to driving cars on highways, to helping us pollinate plants. The concept of … Read more
Recently at CES Asia, Dr. Huang Chang, co-founder and vice president of Horizon, was invited to give a keynote speech titled “Trends in Edge AI Computing” at the main forum of CES. In a one-hour speech, Dr. Huang shared his insights on the trends of edge computing in the AI era, discussing the changes in … Read more
According to a report from Electronic Enthusiasts (by Li Wanwan), previously, edge AI mainly involved uploading large amounts of data to the cloud for processing and analysis. In contrast, edge AI shifts the focus of data processing to local devices, leveraging the advantages of edge computing for real-time feedback and intelligent decision-making. This approach can … Read more
Author: Wu Nü Wang (Peng Zhao) IoT Think Tank Original Please indicate the source and origin when reprinting Introduction There has always been a “gap” between the IIoT cloud platform and the industrial site. This year may be the year when this gap is continuously filled, reshaping the market landscape. Let’s start by addressing the … Read more
Industrial IoT refers to the application of IoT technology in industry to achieve value-added technical models unique to industrial settings. All IoT aims to achieve interconnectivity, especially between objects, but Industrial IoT has its proprietary attributes. The reason is that the connectivity density, real-time connectivity, and heterogeneous requirements of consumer IoT, which is the counterpart … Read more
IoT Think Tank Original Please indicate the source and origin when reprinting Introduction With the development of the Internet of Things, the amount of data generated by industrial manufacturing equipment will continue to increase. If all this data is to be processed in the cloud, it will require endless spectrum resources, transmission bandwidth, and data … Read more