search
HomeTechnology peripheralsAIInterpretation from the Stanford HAI Institute: The 'Chip Act' spends US$280 billion, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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.

With more than 200 billion US dollars, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

The specific contents of this Section 10232 include:

  • Expand the capabilities of the institute, including scientific researchers and research infrastructure;
  • Support measurement R&D systems for advanced computer chips and hardware designed for AI;
  • Support the development of technical standards and guidelines that promote safe and trustworthy AI systems, such as improving accuracy in AI systems, Explainability, privacy, reliability, robustness, security;
  • Create a framework for managing risks associated with artificial intelligence systems;
  • Develop cybersecurity tools for artificial intelligence and data science , encryption methods and best practices;

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:

  • Section 10224: Directs NIST to establish an artificial intelligence defense research program;
  • Section 10313: Authorizes NSF to create a federal AI scholarship program, similar to the CyberCorps scholarship (in which students receive scholarships to take Internet-related courses , and commits to provide government services for a period of time);
  • Section 10360: Directs NSF to conduct public research on university artificial intelligence research capabilities, factors for research success, and geographic distribution;
  • Section 10771: Authorizes grants for artificial intelligence and information technology from the Department of Energy’s Office of Environmental Management

Stanford HAI founded by Li Feifei

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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.

Interpretation from the Stanford HAI Institute: The Chip Act spends US$280 billion, how much can the AI ​​industry get?

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!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
How to Run LLM Locally Using LM Studio? - Analytics VidhyaHow to Run LLM Locally Using LM Studio? - Analytics VidhyaApr 19, 2025 am 11:38 AM

Running large language models at home with ease: LM Studio User Guide In recent years, advances in software and hardware have made it possible to run large language models (LLMs) on personal computers. LM Studio is an excellent tool to make this process easy and convenient. This article will dive into how to run LLM locally using LM Studio, covering key steps, potential challenges, and the benefits of having LLM locally. Whether you are a tech enthusiast or are curious about the latest AI technologies, this guide will provide valuable insights and practical tips. Let's get started! Overview Understand the basic requirements for running LLM locally. Set up LM Studi on your computer

Guy Peri Helps Flavor McCormick's Future Through Data TransformationGuy Peri Helps Flavor McCormick's Future Through Data TransformationApr 19, 2025 am 11:35 AM

Guy Peri is McCormick’s Chief Information and Digital Officer. Though only seven months into his role, Peri is rapidly advancing a comprehensive transformation of the company’s digital capabilities. His career-long focus on data and analytics informs

What is the Chain of Emotion in Prompt Engineering? - Analytics VidhyaWhat is the Chain of Emotion in Prompt Engineering? - Analytics VidhyaApr 19, 2025 am 11:33 AM

Introduction Artificial intelligence (AI) is evolving to understand not just words, but also emotions, responding with a human touch. This sophisticated interaction is crucial in the rapidly advancing field of AI and natural language processing. Th

12 Best AI Tools for Data Science Workflow - Analytics Vidhya12 Best AI Tools for Data Science Workflow - Analytics VidhyaApr 19, 2025 am 11:31 AM

Introduction In today's data-centric world, leveraging advanced AI technologies is crucial for businesses seeking a competitive edge and enhanced efficiency. A range of powerful tools empowers data scientists, analysts, and developers to build, depl

AV Byte: OpenAI's GPT-4o Mini and Other AI InnovationsAV Byte: OpenAI's GPT-4o Mini and Other AI InnovationsApr 19, 2025 am 11:30 AM

This week's AI landscape exploded with groundbreaking releases from industry giants like OpenAI, Mistral AI, NVIDIA, DeepSeek, and Hugging Face. These new models promise increased power, affordability, and accessibility, fueled by advancements in tr

Perplexity's Android App Is Infested With Security Flaws, Report FindsPerplexity's Android App Is Infested With Security Flaws, Report FindsApr 19, 2025 am 11:24 AM

But the company’s Android app, which offers not only search capabilities but also acts as an AI assistant, is riddled with a host of security issues that could expose its users to data theft, account takeovers and impersonation attacks from malicious

Everyone's Getting Better At Using AI: Thoughts On Vibe CodingEveryone's Getting Better At Using AI: Thoughts On Vibe CodingApr 19, 2025 am 11:17 AM

You can look at what’s happening in conferences and at trade shows. You can ask engineers what they’re doing, or consult with a CEO. Everywhere you look, things are changing at breakneck speed. Engineers, and Non-Engineers What’s the difference be

Rocket Launch Simulation and Analysis using RocketPy - Analytics VidhyaRocket Launch Simulation and Analysis using RocketPy - Analytics VidhyaApr 19, 2025 am 11:12 AM

Simulate Rocket Launches with RocketPy: A Comprehensive Guide This article guides you through simulating high-power rocket launches using RocketPy, a powerful Python library. We'll cover everything from defining rocket components to analyzing simula

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)