On September 8, Baidu founder Li Yanhong presented the technical team with the “Baidu Top Award” at an internal event. The winning team received a reward of 1 million US dollars, or more than 7 million yuan. The “Baidu Top Award” has gone through 15 sessions. A large number of AI technologies such as voice recognition, deep learning platforms, and big models have all received awards, with a total prize amount of nearly 400 million yuan. The “Baidu Top Award” was established in July 2010 to encourage “small teams to do big work”. It is Baidu's highest level award, and each winning team is rewarded with 1 million US dollars. The award selection must meet three conditions: the project is significant; the results far exceed expectations; and the team is small enough to be less than 10 people. The team that won Baidu's highest award this time was the “Heart Flow” team. According to reports, the “Heart Flow” team pioneered the implementation of end-to-end multi-modal content understanding and sequence generation technology.

Zhitongcaijing · 09/08/2025 12:09
On September 8, Baidu founder Li Yanhong presented the technical team with the “Baidu Top Award” at an internal event. The winning team received a reward of 1 million US dollars, or more than 7 million yuan. The “Baidu Top Award” has gone through 15 sessions. A large number of AI technologies such as voice recognition, deep learning platforms, and big models have all received awards, with a total prize amount of nearly 400 million yuan. The “Baidu Top Award” was established in July 2010 to encourage “small teams to do big work”. It is Baidu's highest level award, and each winning team is rewarded with 1 million US dollars. The award selection must meet three conditions: the project is significant; the results far exceed expectations; and the team is small enough to be less than 10 people. The team that won Baidu's highest award this time was the “Heart Flow” team. According to reports, the “Heart Flow” team pioneered the implementation of end-to-end multi-modal content understanding and sequence generation technology.