Understanding the Explosive Growth of TinyML

Understanding the Explosive Growth of TinyML

Author: Wu Nü Wang (Peng Zhao) IoT Think Tank Original Reprint must indicate the source and origin Introduction The most widely distributed IoT devices are often very small and have limited power. They serve as terminal hardware, collecting various data through embedded sensors; their computing power is limited and extremely sensitive to power consumption. Can … Read more

Where Is the Main Track of Edge AI Chips?

Where Is the Main Track of Edge AI Chips?

Computer vision is often seen as an important development direction for AI. With the continuous maturation of the AI industry and the expansion of application scenarios, the advantages of computer vision have gradually emerged, leading to an increase in market demand. Because computer vision is an indispensable and important sector for giants to layout AI, … Read more

The Challenges of AI Pin: Insights from Its Launch

The Challenges of AI Pin: Insights from Its Launch

▲ For more exciting content, please click the blue text above and follow us! Last November, a piece of AI hardware called “AI Pin” took the tech world by storm. This device breaks away from tradition, eliminating the screen interface and relying entirely on voice and projection technology to interact with users, responding to short … Read more

Three Major AI PC Disassemblies: Revealing the Core Technology of 2024 Edge AI Era

Three Major AI PC Disassemblies: Revealing the Core Technology of 2024 Edge AI Era

The functionality of artificial intelligence (AI) has become crucial in various mobile devices. Particularly in 2024, AI PCs are being launched, marking it as the “Edge Device AI Era.” This article reviews the main AI PCs and processors released in the second half of 2024. The semiconductor industry in 2024 is expected to be fully … Read more

Top 15 Domestic Edge AI Chips

Top 15 Domestic Edge AI Chips

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

Hailo’s Edge AI Processor: Solving ADAS Challenges

Hailo's Edge AI Processor: Solving ADAS Challenges

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

Arm: Enhancing Edge AI for Greater Intelligence and Efficiency

Arm: Enhancing Edge AI for Greater Intelligence and Efficiency

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

How to Deploy AI Models at the Edge?

How to Deploy AI Models at the Edge?

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

Challenges of Edge AI Chips in the AIoT Market

Challenges of Edge AI Chips in the AIoT Market

▲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

Edge AI Makes MEMS Sensors Faster, More Personalized, Smarter

Edge AI Makes MEMS Sensors Faster, More Personalized, Smarter

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