


Academician E Weinan: AI empowerment will change the workshop model of scientific research, but it is necessary to avoid speculating on concepts
The wave of AI is sweeping across, changing the ecology of many industries, including the methods of academic research. However, AI-driven academic research currently faces difficulties such as lack of resource support. On May 30, at the 2023 Zhongguancun Forum "Artificial Intelligence Driven Scientific Research Forum", E Weinan, academician of the Chinese Academy of Sciences and director of the Beijing Institute of Scientific Intelligence, mentioned that AI empowerment will completely revolutionize scientific research methods, but speculation needs to be avoided. Concepts, superficial prosperity, and problems that cannot really be implemented.
E Weinan said that in the traditional scientific research system, there are two methods: data-driven and basic principle-driven. However, in practice, the former often faces the dilemma of low data collection efficiency and lack of effective data analysis methods. The latter have been basically "exhausted", "and the efficiency of using basic principles to solve practical problems is relatively low, because mathematical problems expressing basic principles are too difficult."
The problem this brings is that academic research can be done well on academic issues such as structural mechanics, but when faced with complex issues such as material design and drug design, it can only be found through experience and trial and error. right direction. This is because there are higher degrees of freedom in complex problems. "From a mathematical point of view, it is dimensionality," Eweinan explained. "Why structural mechanics is relatively simple is because it has fewer degrees of freedom and drugs are more complex. , because it is a multi-body problem with relatively high degrees of freedom and dimensionality. The increase in dimensionality brings about the disaster of dimensionality."
And AI can help solve this dilemma. E Weinan pointed out that AI provides new and efficient tools for data-driven models, which can improve the reliability and efficiency of basic principle-driven models, and can also combine data-driven and basic principle-driven models. The most classic example of this is the molecular dynamics DBM tool. "Quantum mechanical precision molecular dynamics is a very basic tool in chemical calculation materials science, but even if high-performance computing is used, it can only handle thousands of atoms before, so DBM calculations, that is, adding artificial intelligence Intelligent tools can quickly make it into hundreds of millions or even tens of billions."
Therefore, when AI empowers scientific research, it will inevitably bring about changes in productivity and production relations. E Weinan mentioned that the four basic tools for scientific research are basic principles and data analysis methods, experiments, literature, and computing power. AI will bring about four tool innovations and break the "workshop model" of previous scientific research, which is a long-cycle, inefficient operation method.
E Weinan believes that AI-empowered scientific research will comprehensively change the pattern of scientific research and industrial innovation. For this reason, E Weinan said, "AI for Science is the best opportunity in the entire history of China's scientific and technological innovation."
AI plays an important role in scientific research, so various platforms have successively launched open source tools and knowledge bases. In 2018, AI empowered scientific research was first proposed. Last year, the Beijing Institute of Scientific Intelligence was established, becoming the first international research institution with the theme of AI empowered scientific research, and launched the DeepModeling open source community platform for basic principle research.
However, E Weinan also pointed out that relevant open source platforms and research institutes are facing the problem of insufficient resources - "We are trying to find ways to use the few resources we have to do this."
In addition, the future development of AI-enabled scientific research may also face the possibility of "hype concepts, superficial prosperity, and failure to truly implement". To this end, E Weinan suggested that we need to adhere to a rigorous scientific research style and adhere to an attitude of openness, sharing, and win-win cooperation from the foundation.
, but to move towards higher-end artificial intelligence development. ". I hope we can take the lead in China this time to create a new scientific research paradigm of vertical integration of platforms." E Weinan said.
Written by: Nandu reporter Hu Gengshuo
The above is the detailed content of Academician E Weinan: AI empowerment will change the workshop model of scientific research, but it is necessary to avoid speculating on concepts. For more information, please follow other related articles on the PHP Chinese website!

Scientists have extensively studied human and simpler neural networks (like those in C. elegans) to understand their functionality. However, a crucial question arises: how do we adapt our own neural networks to work effectively alongside novel AI s

Google's Gemini Advanced: New Subscription Tiers on the Horizon Currently, accessing Gemini Advanced requires a $19.99/month Google One AI Premium plan. However, an Android Authority report hints at upcoming changes. Code within the latest Google P

Despite the hype surrounding advanced AI capabilities, a significant challenge lurks within enterprise AI deployments: data processing bottlenecks. While CEOs celebrate AI advancements, engineers grapple with slow query times, overloaded pipelines, a

Handling documents is no longer just about opening files in your AI projects, it’s about transforming chaos into clarity. Docs such as PDFs, PowerPoints, and Word flood our workflows in every shape and size. Retrieving structured

Harness the power of Google's Agent Development Kit (ADK) to create intelligent agents with real-world capabilities! This tutorial guides you through building conversational agents using ADK, supporting various language models like Gemini and GPT. W

summary: Small Language Model (SLM) is designed for efficiency. They are better than the Large Language Model (LLM) in resource-deficient, real-time and privacy-sensitive environments. Best for focus-based tasks, especially where domain specificity, controllability, and interpretability are more important than general knowledge or creativity. SLMs are not a replacement for LLMs, but they are ideal when precision, speed and cost-effectiveness are critical. Technology helps us achieve more with fewer resources. It has always been a promoter, not a driver. From the steam engine era to the Internet bubble era, the power of technology lies in the extent to which it helps us solve problems. Artificial intelligence (AI) and more recently generative AI are no exception

Harness the Power of Google Gemini for Computer Vision: A Comprehensive Guide Google Gemini, a leading AI chatbot, extends its capabilities beyond conversation to encompass powerful computer vision functionalities. This guide details how to utilize

The AI landscape of 2025 is electrifying with the arrival of Google's Gemini 2.0 Flash and OpenAI's o4-mini. These cutting-edge models, launched weeks apart, boast comparable advanced features and impressive benchmark scores. This in-depth compariso


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

SublimeText3 English version
Recommended: Win version, supports code prompts!

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.

Dreamweaver Mac version
Visual web development tools

Notepad++7.3.1
Easy-to-use and free code editor

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
