![]() ![]() “We were able to successfully complete the validation of several complex chips in the hundred-million gate range quickly and efficiently.”īut validating hardware still leaves millions of lines of code to test and verify. “We've used many of S2C's FPGA development systems including their single and dual Prodigy VU440 systems,” explains Sha. These are designs of enormous size and complexity, and verifying their correct operation presents its own challenges. ![]() Artosyn's chips are at the heart of the latest generation of UAVs (drones), as well as being used in smart surveillance systems, robots, autonomous vehicles, and more. These systems represent the most advanced generation of controllers today, employing artificial intelligence for such tasks as object detection, object classification, and object tracking. Since 2015, Artosyn has specialized in Image Signal Processors (ISPs) and Neural Processing Units (NPUs), highly advanced ASIC devices that must meet the demanding requirements of low-power and high-performance. “They need early access to the hardware to develop their software. “Our customers are advancing the state of AI programming every day,” said Shen Sha, Senior R&D Manager of Artosyn's AI Chip Department. Artosyn Microelectronics, a leading provider of AI SoCs for drones and other sophisticated applications finds itself at the intersection of hardware architecture and software development. ![]()
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