Self-Driving Truck Unicorn TuSimple Eyes Upcoming IPO Possibilities in the United States
TuSimple has submitted listing documents and plans to list in the United States as early as next month.
AI Technology & Industry Review
Chinese AI talents in American AI research and industry.
TuSimple has submitted listing documents and plans to list in the United States as early as next month.
Quicktron completed a new C+ financing round led by KION Group and Prosperity7 Ventures, and proceeds will be used for global market expansion and further technical development.
On February 19, Beijing-based AI startup Unisound has decided halted its IPO application to the Shanghai Stalk Exchange.
According to statement on February 12, Chinese AI chip unicorn Horizon Robotics announces a third time series C financing.
On January 22, Beijing-based AI firm 4Paradigm announced USD 700 million series D investments from Boyu Capital, Primavera Capital and Hopu Investments.
Analyzing papers and patent data collected from top AI journals and conferences, 44 in total from 2011 to 2020, Tsinghua University’s new AI development report revealed new statistical insights.
Nobody knows neuromorphic computing better than Dr. Yiran Chen, who last week published a definitive paper on the subject in the prestigious very-large-scale-integration (VLSI) Journal Integration.
Zhou Yu, the 29-year-old assistant professor at UC Davis is teaching robots to understand the nuances of non-verbal communication and use them to their advantage.
Mobvoi hired Dr. Mei-Yuh Hwang as its Vice President of Engineering in 2016. A respected speech recognition researcher and former Principle NLP Scientist Manager at Microsoft, Dr. Hwang is a pioneer in voice recognition and machine translation.
Jianxiong Xiao (肖健雄), founder of startup AutoX, developed his first self-driving car in six months with seven cameras costing a total of just US$500.
“Scientists need passion to do research, and that is my passion.” – Yuandong Tian, Facebook Artificial Intelligence Researcher
“We want to be able to train a machine learning model, like Google Translate, in a few hours,” said Prof. Hwu. Best known for enabling the parallelism capability of the GPU to solve scientific problems like AI.