2021至2023年人工智能领域研究热点分析述评与展望.pdf

计算机研究与发展DOI：10.7544/issn1000-1239.202440063

Journal

of

Computer

Research

and

Development61（5）：1261−1275，2024

2021至2023年人工智能领域研究热点分析述评与展望

魏子舒韩越刘思浩张圣宇吴飞

（浙江大学计算机科学与技术学院杭州310013）

（weizishu@）

LookaheadAnalysisandDiscussionofResearchHotspotsinArtificialIntelligence

from2021to2023

Wei

Zishu,

Han

Yue,

Liu

Sihao,

Zhang

Shengyu,

and

Wu

Fei

（CollegeofComputerScienceandTechnology，ZhejiangUniversity,Hangzhou310013）

AbstractIn

current

era,

marked

by

advancements

and

achievements

made

in

digital

and

intelligent

fields,

artificial

intelligence

(AI)

has

emerged

as

a

pivotal

engine

driving

technological

innovation,

which

indicates

encapsulating

and

examining

the

latest

trends

and

future

trajectories

in

AI

research

makes

sense

on

the

development

of

future

AI

research.

This

can

be

implemented

by

collecting

the

research

outcomes

during

recent

three

years

from

top-tier

international

conferences

and

journals

in

the

field

of

AI

that

are

recommended

by

the

China

Computer

Federation

(CCF-A

category),

introducing

keyword-centric

analyses

based

on

a

bibliometric

methodologies,

and

analyzing

research

hotspots

based

on

high-frequency

keywords,

discerning

emerging

trends

through

newly-added

keywords,

identifying

high-impact

studies

using

citation-weighted

keyword

analysis.

The

result

of

these

analyses,

which

contains

significant

information

about

trends

in

AI

research,

can

enable

the

principal

directions

of

AI

research

to

be

delineated

and

the

interconnections

and

integrative

fusion

within

mainstream

AI

research

directions

to

be

unveiled.

Moreover,

an

in-depth

exploration

of

the

current

hot

topics,

such

as

large

language

models

(LLMs),

AI-driven

scientific

research

(AI

for

Science)

and

visual

generation

technologi