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
This article is sourced from: Smart Car Technology Recently, there has been news online about LeddarTech partnering with Hailo to create solutions for ADAS (Advanced Driver Assistance Systems) customers that are higher in performance, more affordable, more scalable, more flexible, and lower in power consumption. We can’t help but ask, what kind of companies are … Read more
Ms. Chloe Ma, Vice President of Business Development at Arm’s IoT Division Recently, Ms. Chloe Ma, Vice President of Business Development at Arm’s IoT Division, conducted an online interview with industry media, introducing the evolution of edge artificial intelligence (AI) and Arm’s new generation Ethos-U85 AI accelerator and the new IoT reference design platform Arm … 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
â–²Click 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
According to MEMS Consulting, looking to the future, core chips, especially MEMS sensors, will remain an indispensable part of terminal devices; however, software is equally important in delivering value to users. Bosch Sensortec believes that sensor software will become increasingly intelligent, transforming MEMS sensors into more accurate and personalized systems that can help users cope … 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
With the explosive growth of information in modern society, more and more memory and AI computing are being used for information storage and computation. However, even with powerful cloud computing, it is challenging to fully meet the demands for data bandwidth and transmission speed. Additionally, as people’s emphasis on data privacy protection increases, edge AI … Read more
Click the “blue text” above, and select “Star this“ Key messages delivered at D1 time! The rise of edge AI is already underway, as we see AI deployed in smaller, more specialized models, particularly in the Internet of Things. This AI approach shifts processing tasks from centralized data centers to the “edge” of the network, … Read more
Every time a new industry term emerges, we media professionals face the challenge of understanding what a company aims to achieve, especially when they use these terms to fulfill their marketing goals. A recently popular term is Edge Artificial Intelligence (AI), or Edge AI. Due to the rapid development of the Internet of Things (IoT) … Read more