I believe that many scholars have had such a puzzle in the face of difficult scientific research topics: When will this material be industrialized and truly benefit the society? Although the belief in the heart will not be shaken, doubts remain for a long time.
In fact, the birth of a new technology from the laboratory to the final use of large-scale use, which experience the hardships and hardships will be far more than ordinary people's imagination. Academic research and commercialization can be said to be two topics that are almost as difficult. Some people are obsessed with exploring the cutting-edge directions and theories of science and technology, but others also hope that they can help bring these technologies to specific products and truly serve everyone. Many of these people eventually went to the relevant company's laboratories to contribute their own strength, and some of them started their own business and started their own technological industrialization road.
However, the number of dark pits in this area is probably only understood by those who have experienced it personally. Some of the guidelines that should help people clarify their thinking and find the key to the problem may not be rejected by all hard-working families who are struggling to join the industry.
In this lecture, we invited CTO Huang Ningning from a polar perspective. Ms. Huang graduated from the Machine Perception and Intelligence Laboratory of Peking University. She used to participate in several National Natural Science Foundation projects in the field of computer vision and published papers, obtained related patents, and scientific research. Experience. After entering the industry, Huang Yongning also worked in Baidu's big data department, and made quite a lot of achievements in polar perspectives. He will tell us about how he made the decision to join the industry and what he experienced after making this decision. Hope also helps everyone avoid some pitfalls and difficulties in their own way.