Xilinx and Daimler to develop ultra-efficient AI solutions for future Mercedes-Benz models

Xilinx and Daimler are jointly developing an in-car system using Xilinx technology for AI processing in automotive applications.
Powered by a Xilinx automotive platform consisting of system-on-a-chip (SoC) devices and AI acceleration software, the scalable solution will deliver high performance, low latency and high power efficiency for embedded AI in automotive applications.
“We are accelerating our product development using AI technology by engaging our global development centers with Xilinx experts,” said Georges Massing, director user interaction and software at Daimler.
“Through this strategic collaboration, Xilinx is providing technology that will enable us to deliver very low latency and power-efficient solutions for vehicle systems which must operate in thermally constrained environments. We have been very impressed with Xilinx’s heritage and selected the company as a trusted partner for our future products.”
As part of the strategic collaboration, deep learning experts from the Mercedes-Benz research and development centers in Sindelfingen, Germany, and Bangalore, India, are implementing their AI algorithms on a highly adaptable automotive platform from Xilinx. Mercedes-Benz will productize Xilinx’s AI processor technology, enabling the most efficient execution of their neural networks.
“We are proud to announce this collaboration with Daimler on advanced AI applications,” said Willard Tu, senior director, automotive, Xilinx.
“Our adaptable acceleration platform for automotive offers industry leaders like Daimler a high level of flexibility for innovation in deploying neural networks for intelligent vehicle systems.”
廣告 編輯推薦
最新資訊
-
“汽車爬坡試驗(yàn)方法”將有國家標(biāo)準(zhǔn)
2026-03-03 12:44
-
十年耐久監(jiān)管時代:電池系統(tǒng)開發(fā)策略將如何
2026-03-03 12:44
-
聯(lián)合國法規(guī)R59對機(jī)動車備用消聲系統(tǒng)的工程
2026-03-03 12:08
-
聯(lián)合國法規(guī)R58對后下部防護(hù)裝置的工程化約
2026-03-03 12:07
-
聯(lián)合國法規(guī)R57對摩托車前照燈配光性能的工
2026-03-03 12:07





廣告























































