Machine Learning Dominates AI Research PDF Free Download
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Source: (1-2) AI Index Steering Committee, Stanford University Institute for Human-Centered AI, “The AI Index 2025 Annual Report” (April 2025). Data is through 2023. (3) McKinsey,
“Technology Trends Outlook 2025.” July 2025.
AI publications by select topics, thousands of publications
According to Stanford University’s Artificial Intelligence Report (2025), machine learning
has been the most prevalent research topic in AI publications, comprising 75.7% of
publications, followed by computer vision (47.2%), pattern recognition (25.9%), and natural
language processing (17.1%). Over the past year, there has been a sharp increase in
publications on generative AI.
Machine Learning Dominates AI Research
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2013 2015 2017 2019 2021 2023
Machine learning: 184k
Computer vision:
115k
Pattern recognition: 63k
Natural language processing: 41k
Knowledge based systems: 22k
Logic and reasoning: 12k
Evolutionary computation: 17k
Generative AI: 13k
Multi-agent systems: 11k
Robotics: 5k
Highly cited publications in top 100 by country, # of models
According to Stanford University’s Artificial Intelligence Report (2025), China leads in total
number of AI research publications, while the US leads in number of highly influential
research.
The Most Influential AI Research
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US
China
Germany
Hong Kong
Canada
South Korea
UK
UAE
Israel
Singapore
Top 13 technology trends in 2025
In a comprehensive new annual report, McKinsey released their top 13 technology trends
for 2025. Generative AI has been a “standout” trend for the last three years, with a large
uptick in interest and investment in this industry.
Top 13 Technology Trends in 2025
Agentic AI systems capable of independently planning and executing complex tasks
Artificial intelligence systems that leverage algorithms, data and computational power to
recognize patterns, make decisions, and learn from experiences
Application-specific semiconductors engineered to handle large-scale AI training and
interference tasks while optimizing speed, energy efficiency and performance
Advanced connectivity through telecommunications technologies such as: wireless low-
power
networks, 5G and 6G cellular, Wi-Fi 6 and 7 and low-Earth-orbit satellites
Cloud and edge computing to optimize for latency, reduce costs, adhere to data regulations
and security across locations
Immersive-reality technologies enable real-time interactions in three-dimensional virtual
worlds (virtual reality, mixed reality, augmented reality)
Digital trust and cybersecurity technologies designed to ensure secure, transparent, and
trustworthy digital interactions
Quantum technologies utilizing quantum mechanics to execute complex calculations
exponentially faster, secure communications networks and create sensors with higher
sensitively levels
Future of robotics to build robots that adapt to new, real-life inputs with autonomy and
dexterity
Future of mobility
utilizing mobility technologies to improve efficiency, safety and sustainability
of land and air transportation
Future of bioengineering to improve heath and human performance, transform food value
chains and create innovative offerings
Future of space technologies including satellites, launchers, habitation technologies and
exploration missions
Future of energy and sustainability technologies to shift towards a more sustainable and
resilient global energy landscape
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AI leadership in tech innovation
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