With the arrival of high-level intelligent driving, smarter cars need to process larger amounts of images, videos, and other unstructured data. Traditional MCU chips cannot meet the computational demands, while AI chips can achieve fast, accurate, and efficient calculations. We focus on data from Horizon, where L3 level autonomous driving generates a data volume of … Read more
Source | Yiou. Yushi Capital Research Institute. Intelligent Connected Vehicles Network Enterprise Layout Characteristics The Upgrade of Computing Power Demand Drives Growth in the Automotive Computing Chip Market Scale Growth, Industry Supply Chain Transformation is Quietly Brewing The upgrade of automotive intelligence drives the increase in the value of semiconductor components in vehicles, in 2020, … Read more
Introduction The autonomous driving system is a comprehensive system integrating functions such as environmental perception, decision-making control, and action execution. It is a system that fully considers the coordination planning between vehicles and the traffic environment, and it is also an important component of future intelligent transportation systems. This article focuses on analyzing the relevant … Read more
Follow our official account, click the “…” in the upper right corner of the homepage, set it as a star, and stay updated on the latest news in smart automotive electronics and software. Source: Automotive Electronics and Software Author: Song Tao As software-defined vehicles (SDVs) continue to gain traction, various OEMs are establishing their own … Read more
Since the dawn of humanity, we have never ceased our exploration of nature. We have been observing natural phenomena, recording natural laws, and utilizing various information conveyed by nature to serve human life. With the development of the internet and advancements in sensor technology, imagine if everything in nature were connected to the internet, allowing … Read more
The Internet of Things (IoT) is a vast network of interconnected devices comprising billions of devices. It modernizes the way we travel, conduct business, and monitor our health. Broadly speaking, the IoT refers to physical entities that are not computers connected to each other via the internet. Medicine bottles, dog collars, self-driving cars, lighting, fitness … Read more
Many domestic chip companies have chosen to adapt quickly to market demands by being compatible with the CUDA ecosystem. While this is effective in the short term, in the long run, this “if you can’t beat them, join them” approach remains constrained by human limitations. Other companies choose the path of independent development but face … Read more
As an open hardware instruction set architecture (ISA) based on Reduced Instruction Set Computing (RISC), the design philosophy of RISC-V emphasizes “simplicity is the ultimate sophistication.” Although RISC-V still needs continuous efforts and improvements in ecosystem building, software support, and security issues, it has already shown strong vitality and broad development prospects in fields such … Read more
MIT (Massachusetts Institute of Technology) published a paper in 2018 titled “The Decline of General-Purpose Computing: Why the End of Moore’s Law and Deep Learning is Leading to Computing Fragmentation”. This paper predicted that as Moore’s Law slows down and the costs of cutting-edge semiconductor manufacturing processes rise, general-purpose computing would struggle to meet the … Read more
Perhaps some team is designing an embedded inference engine for edge computing, or is furthering automotive vision processing, or perhaps they possess insights in the data center domain that can challenge NVIDIA and Google! However, amidst the broad performance demands, environments, and applications, AI accelerator architectures face unique challenges not only in design but also … Read more