Yesterday, the US$280 billion "Chip Bill" was officially signed, immediately triggering heated discussions. The capital market gave a strong negative response, and the stocks of major chip manufacturers fell sharply.
However, whether it is the media or the market, the focus is all on "chips", and they have probably ignored that the full name of this bill is "Chip and Science Act."
In fact, of the US$280 billion, the subsidies for "chips" totaled more than 54 billion, and the remaining more than 200 billion were all given to "science." Obviously, the latter is the big one.
Regarding the more than 54 billion yuan subsidized to the chip industry, a large number of articles have analyzed it thoroughly in recent days. So who took away the more than 200 billion yuan to support "research and innovation"?
According to the summary of the bill published by the House of Representatives Science Committee, it was mainly divided up by government departments and major large research funding agencies.
Mainly include the National Science Foundation (NSF), the National Institute of Standards and Technology (NIST), the Department of Energy, and the Department of Commerce.
Among them, the two companies that have received the most are NSF and the Department of Energy. In the next five years, they will receive at least US$81 billion and US$67.9 billion. This is just the basic budget. If additional additions are included, they can receive more respectively. Get more than 30 billion US dollars more.
In comparison, the budget of more than 54 billion US dollars in chip subsidies suddenly seems not that much.
As soon as the bill was enacted, the HAI Institute of Stanford University, which Li Feifei co-founded, analyzed the specific whereabouts of the money in the bill. Of course, their focus was not on chips, but on AI.
This article mainly analyzes the impact of the "Chip and Science Act" on AI. In terms of specific content, it is actually to see what money can be allocated to AI-related research and projects. .
HAI analysis believes that most of these investments are related to AI.
For example, investment in the semiconductor industry will provide impetus for the research and development of machine learning and artificial intelligence. Some investments are specifically targeted at AI, and AI-related funding projects are specifically listed in the bill. A table.
This chip bill has a lot of investment projects in AI. The main purpose is to expand existing plans related to artificial intelligence research and development and workforce development.
Section 10232 of the bill specifically addresses artificial intelligence, requiring the NIST director to "continue to support the development of artificial intelligence and data science and conduct activities under the National Artificial Intelligence Initiative Act of 2020," which is also 2021 Part of the National Defense Authorization Act 2021.
The specific contents of this Section 10232 include:
The bill also amends the NIST Act to allow the director of NIST to work with other private sector and higher education institutions to establish a "virtual test bed" for "developing artificial intelligence and machine learning systems, including testing platforms that examine vulnerabilities and conditions that may lead to malfunctions, malfunctions, or attacks on such systems.”
In addition, there are other AI-related laws and regulations including:
Let’s take a look at this again The analysis organization of this report is the Human-Centered AI Institute (HAI) of Stanford University.
The institution was established on March 18, 2019. Li Feifei, a giant in the AI industry, and John Etchemendy, former provost and professor of philosophy at Stanford University, jointly serve as deans of the institute.
HAI is composed of approximately 200 faculty members from seven schools at Stanford University, bringing together multidisciplinary researchers in computer science, neurobiology, economics, philosophy, etc. , and also hired industry experts such as former Google CEO Eric Schmidt as members of the advisory team.
is committed to the research, guidance and development of human-centered artificial intelligence technology and applications, and strengthens cooperation with industry (involving technology, financial services, health care and manufacturing, etc.), government and non-governmental organizations, through artificial intelligence Intelligence realizes a better future for mankind.
Stanford University President Marc Tessier Lavigne delivered a speech at the institute’s unveiling forum, saying that artificial intelligence has shown great potential in improving human life, but at the same time it also Bringing many potential risks, HAI was established to reduce the harm of artificial intelligence and better use artificial intelligence to improve the quality of human life.
Li Feifei said, "It is urgent to incorporate ethical research into the basis of artificial intelligence research and development."
HAI was born from three simple but powerful ideas: the development of artificial intelligence should be guided by its impact on human society; artificial intelligence should enhance human skills rather than replace humans; artificial intelligence should be more Incorporate more of the diversity, difference, and depth of human intelligence.
She said that HAI tries to achieve the following goals: make breakthroughs in interdisciplinary research collaboration; build a forum that broadly brings together global ideas; promote artificial intelligence education and popularization; influence policy and promote change.
The above is the detailed content of Interpretation from the Stanford HAI Institute: The 'Chip Act' spends US$280 billion, how much can the AI industry get?. For more information, please follow other related articles on the PHP Chinese website!
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