On December 14th, US time, Andrew Ng, a well-known scientist in the field of artificial intelligence, announced the creation of AI Landing.ai and became the company's CEO.
As a former Baidu chief scientist and an associate professor at Stanford University, Wu Enda, after leaving Baidu for nine months, Wu Enda’s AI entrepreneurship path has gradually begun to implement. This is the second project launched by Wu Enda following the launch of the artificial intelligence online course platform Deeplearning.ai on June 23 this year.
The official profile says: Landing.AI is designed to help companies transform their artificial intelligence. We will first focus on manufacturing. By establishing a medium- and long-term strategic partnership with the company, we will provide strategies and technologies for the company, construct artificial intelligence solutions, help companies to make structural adjustments, and provide technical training for employees.
Wu Enda revealed that Landing.ai has already reached a strategic cooperation with Foxconn. Since July this year, Landing.ai has cooperated with Foxconn to develop AI technology and talent training projects based on the core competitiveness of the two companies.
The following is the full text of Wu Enda's open letter:
Revive manufacturing through artificial intelligenceDear friends,
I am happy to announce the establishment of Landing.ai. As an artificial intelligence (AI) company, Landing.ai is designed to help companies transform in the era of artificial intelligence. We will first focus on the manufacturing industry.
Artificial intelligence has driven tremendous changes in the IT industry. When I led Google Brain and Baidu's artificial intelligence team, I was fortunate to have played a role in the artificial intelligence transformation of the two leading Internet companies. I understand the benefits that artificial intelligence brings to these businesses and their users. We must not only use artificial intelligence to empower the IT industry, but also the need to use artificial intelligence to empower the entire society, including eating, wearing, living, and doing all aspects, freeing humans from complex and simple labor. In order to let the whole society experience the benefits of artificial intelligence, I hope to promote artificial intelligence to other industries.
Artificial intelligence transformation is difficult
Many companies are exploring how to apply artificial intelligence. The road to AI transformation is not easy. Many AI technologies are still complex, and few teams have fully understood and effectively applied these technologies. Outside the IT industry, artificial intelligence talent is even scarcer.
If IT is needed to transform traditional companies, it's not just about building websites. The need to use AI to drive change is much more than just building a few machine learning models. The artificial intelligence integrated strategy, from data collection to enterprise organizational structure design, and how to prioritize artificial intelligence projects, is as complex as the technology itself. Good artificial intelligence strategists are even rarer than good artificial intelligence technicians.
Landing.ai will help companies meet these challenges. We are developing a series of AI transformation projects, from providing new technologies, helping to adjust organizational structure to employee training and more. We will start with manufacturing first.
AI and manufacturingThe IT industry has created our digital virtual environment. And manufacturing has shaped our physical environment, affecting almost every corner of society. Through manufacturing, human creativity transcends the pixels on the display and becomes a concrete physical object. Introducing artificial intelligence into manufacturing, we will digitally transform the physical world.
Artificial intelligence technology is ideally suited to address manufacturing challenges such as unstable quality and yield, lack of flexibility in production line design, difficulty in capacity management, and rising production costs. AI can help solve these problems, improve the quality inspection process (see the automated quality assurance solution case), shorten the design cycle, eliminate supply chain bottlenecks, reduce material and energy waste, and increase production.
Today, we are pleased to announce a strategic partnership with Foxconn. Since July of this year, we have cooperated with Foxconn to develop AI technology and talent training projects based on the core competitiveness of the two companies. As one of the world's leading large-scale multinational technology providers, Foxconn provides a good platform for Landing.ai to develop and deploy AI technology and training solutions worldwide.
Introducing artificial intelligence into manufacturing will reinvigorate manufacturing jobs in the US and around the world. There has been a lot of discussion about how people will work in the future of artificial intelligence empowerment. The next wave of manufacturing will be very different from the previous one. These positions are more complicated and higher, but they also require new skills. Therefore, employees need to receive large-scale training or retraining.
Training talents in the AI ​​era is a challenging task, and my team has a unique advantage in this regard. We invest a lot of time and resources to create reemployment solutions for workers who are likely to be unemployed. We are negotiating training programs with various partners, including local governments. I hope we can make rapid progress in this area. We are very happy to accept this challenge.
For developing economies, the artificial intelligence transformation of manufacturing will increase the affordability of multiple products. These products range from antibiotics to bicycles to computers. AI will also help small and medium-sized manufacturing companies to participate in and benefit from the global smart supply chain. For advanced economies, the deep integration of artificial intelligence and manufacturing will also pave the way for the development of next-generation products, equipment and experience.
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