[CNMO Tech News] On July 9, Avatr Technology announced that Professor Konstantin Novoselov, 2010 Nobel Prize in Physics laureate and co-discoverer of graphene materials, officially became the 100,000th owner of Avatr 07 at the Avatr Singapore Showroom. Avatr Technology President Chen Zhuo attended the delivery ceremony and personally handed the new car keys to Professor Konstantin.
According to CNMO Tech, Professor Konstantin Novoselov is an international top scholar in the field of condensed matter physics. In 2004, he and his mentor Professor Andre Geim successfully separated graphene composed of single-layer carbon atoms from graphite through the "Scotch tape method". This groundbreaking research laid the foundation for the field of two-dimensional materials. Both were awarded the 2010 Nobel Prize in Physics for this, with Novoselov being only 36 years old at the time. As one of the thinnest, strongest, and best conducting and heat-conducting materials currently known, graphene is considered a core basic material for future technology. Avatr Technology President Chen Zhuo stated at the delivery site that Professor Konstantin's choice is a high recognition of Avatr's full-link strength from technology to product, and also confirms that the attraction of Chinese intelligent electric vehicles in the global high-end market is continuously enhancing.
Avatr 07 is the main model of the Avatr brand and also the world's first mass-produced vehicle fully equipped with Huawei Qiankun Intelligent Driving ADS 4. In terms of core intelligent driving, Avatr 07 is equipped with the WEWA architecture (World Engine + World Behavior Model) of Huawei Qiankun Intelligent Driving ADS 4, generating high-density difficult example scenarios through AI diffusion models. Data density is 1000 times that of real-world acquisition, end-to-end latency is reduced by 50%, and traffic efficiency is improved by 20%. On the hardware level, Avatr 07 is equipped with a 192-line LiDAR, 3 4D mmWave radars, and 27 high-precision sensors, supporting full-scenario pilot assistance and spot-to-spot 2.0 parking functions.