Google established AI special venture capital project
On May 29th, according to foreign media Axios, Google has set up another investment company focusing on artificial intelligence. The company will be led by Anna Patterson, Google's vice president of AI projects; meanwhile, last year's return to Google's former Google engineering division, Ankit Jain, former vice president of products at SimilarWeb, will also participate in the project; and other AI engineers at Google , will take turns to be the relevant person in charge of the company.
The project is looking for small-scale investments and is negotiating with other entrepreneurs and external VCs. In addition, Google insiders said that this investment platform will focus on small-scale investment, with an investment of 1 million to 10 million US dollars. If the opportunity is right, it will also jointly invest in Google Ventures.
It is worth mentioning that Anna Patterson's reporting route will be inside Google, not the parent company Alphabet, which is different from Alphabet's Google Ventures and CapitalG, and its status is also obvious. At the same time, unlike most venture capital institutions, the investment institution will be screened by engineers.
Uber fires head of driverless car department
On May 30th, Uber announced the expulsion of Anthony Levandowski, the former founder of Waymo, the founder of Otto, a self-driving startup. Uber's reason for this is that Levandowski has refused to help the shared travel company clarify whether it has stolen Waymo's driverless technology.
In March of this year, Waymo accused Levandowski of privately copying more than 1,400 confidential information covering multiple areas, including lidar and driverless technology, on the eve of leaving Waymo in January 2016. Shortly after leaving the company, Levandowski founded Otto, an unmanned technology company, and successfully attracted the attention of Uber CEO Karanick himself. Since then, Levandowski has become Uber's consultant in the field of driverless technology until last August, when the company was acquired by Uber for $680 million.
Since the person has refused to help clarify the situation in Uber and Waymo's autopilot intellectual property lawsuit, the judge sentenced Uber to lose, requiring Levandowski to leave the R&D position of the driverless technology and hand over all the confidential documents. In addition, Uber has almost lost the right to test unmanned cars on public roads.
Baidu cooperates with Continental to develop autonomous vehicles
On May 31, Continental Group reached strategic cooperation with Baidu and Weilai Automobile. In Baidu, the cooperation between the two parties will focus on autonomous driving, networked cars and smart travel services, including ADAS, Baidu Apollo automatic driving platform and other fields.
ConTInental AG is a manufacturer of auto parts for more than 140 years. Its rich products and technologies in automotive chassis, electronic components and powertrains have become an integral part of the global automotive industry.
Billion Europe believes that this move by Continental Group represents that the old suppliers are undergoing more changes to adapt to the new changes in the industry. As an important representative of the domestic research and development of unmanned vehicles, Baidu also needs more contacts and cooperation with relevant suppliers to promote the advancement and maturity of unmanned driving technology.
Keda Xunfei and Huashi Affiliated China to build an artificial intelligence laboratory
On June 2nd, Huashi Fuzhong signed a cooperation agreement with Keda Xunfei to jointly create an “artificial intelligence†laboratory. Through the exploration and exploration of big data, Huasheng students will realize personalized learning, and the school competition experience can also be realized through big data. "share it".
According to the school, the lab is open to students, allowing students to start cutting-edge technology from the middle school and participate in research. Another important task is to realize big data teaching – to establish learning, interaction, exams, homework and other data for students. In this way, a personalized data model is formed, which in turn guides teachers and students to learn and teach, so that the teacher can teach in a targeted manner, let the children learn in a personalized way, and let the school manage scientifically.
For Keda Xunfei, this cooperation is not only the application of its big data and artificial intelligence technology in the education industry, but also an attempt to be regarded as its talent strategy in the field of artificial intelligence.
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