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
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 by Electronic Enthusiasts (by Li Wanwan), due to high computational requirements, early AI started from cloud intelligence, requiring data to be uploaded to the cloud for processing. However, in the subsequent development process, issues related to user experience and data privacy emerged. Edge AI can significantly reduce latency issues and has … Read more
Source | Qianjia Network Introduction Artificial Intelligence (AI) has been steadily present in businesses around the world for a long time. The transformative power of AI has enhanced the convenience of business operations and increased return on investment for companies. Now, Edge AI represents the next stage of technological development. So, What Is Edge AI? … Read more