Recently, the 62nd Design Automation Conference (DAC), a top academic conference in the field of electronic design automation, was held in San Francisco, USA. The team led by Associate Professor He Zhezhi from the School of Computer Science at Shanghai Jiao Tong University had two papers selected, one of which, titled “PICK: An SRAM-based Processing-in-Memory … Read more
Shanghai Jinghang has launched the ED-SBC3300, a Mini-ITX industrial computer motherboard designed based on the Raspberry Pi CM5 module, specifically built for harsh industrial environments and edge computing scenarios. This product combines the ease of use of the Raspberry Pi ecosystem with the reliability of industrial-grade equipment, offering a rich array of interface options and … Read more
The Industrial Internet of Things (IIoT) utilizes IoT technology and information technology to center around industrial equipment, achieving the collection, transmission, analysis, and application of industrial data, thereby improving industrial production efficiency. It is an important driving force for the upgrade of industrial informationization. In the IIoT, a large amount of data needs to be … Read more
In the vast galaxy of artificial intelligence (AI), the evolution of AI at the edge stands out as the most dazzling and groundbreaking frontier. It leads us from traditional machine vision to a new stage of perceptual AI and enhanced AI. The continuous evolution of edge AI allows intelligent systems to deeply integrate into daily … Read more
▲ Click on the above Leifeng Network to follow The AI chip war among tech giants has spread from the cloud to the edge, which is a mixed blessing. Written by | Bao Yonggang The AI craze continues, and the battle for AI is naturally escalating. NVIDIA, as one of the most watched companies in … Read more
With the development of the Industrial Internet of Things (IIoT), massive industrial data is generated, urgently driving the application of Artificial Intelligence (AI) to fully unleash the potential of industrial data and enhance industrial service capabilities. Traditional centralized Machine Learning (ML) model training methods require devices to upload all their raw data, which raises privacy … Read more
With the increasing scenarios for edge computing, the demand for ultra-low power CPUs is growing, requiring long-term operational capabilities, the ability to be embedded in hard-to-reach environments, and reliance on battery or ambient energy sources. A startup focused on developing high-efficiency processors, Efficient Computer, has launched a product – the Electron E1 processor and the … Read more
Click the blue text to follow us Please message us to add to the whitelistIf you like this article, feel free to share it! How Cloud and Edge Artificial Intelligence (AI) are Transforming the Internet of Things Before 2019, most IoT systems consisted of ultra-low-power wireless sensor nodes, typically battery-powered, with sensing capabilities. Their primary … Read more
Artificial Intelligence (AI) is becoming an indispensable part of our daily lives. From smart cameras to autonomous vehicles, AI models are now deployed on devices to quickly process information and assist in making real-time decisions. Traditionally, many AI models have been run in the cloud, meaning devices send data to powerful remote servers for processing, … Read more
As edge computing becomes the “nerve ending” of the intelligent era, how to enable devices to perform high-performance AI inference and real-time control locally has become the key to breaking through industry challenges? The RK3588 integrated machine is an integrated device developed based on the high-performance RK3588 processor from Rockchip. With its powerful computing power, … Read more