Scenes from 2010 Marking the Tide of the Future - AI Turning Point and the Embryo of Global Competition (2010-2025)

Scenes from 2010 Marking the Tide of the Future - AI Turning Point and the Embryo of Global Competition (2010-2025)
The period around 2010 can be considered a time when artificial intelligence quietly reached a tipping point. Around this time, with the spread of high-performance GPUs and the maturation of the Internet environment, deep learning quickly began to become a reality. Symbolic of this was ImageNet in 2012, when AlexNet at the University of Toronto dramatically improved image recognition accuracy, sending shockwaves through the research community. This achievement overturned the assumptions of AI development and provided an opportunity to widely demonstrate the potential of machine learning. Subsequently, deep learning also outperformed conventional methods in application areas such as speech recognition and machine translation, rapidly accelerating the multifaceted progress of AI technology.
As a result, governments and companies positioned AI as a strategic area for the future and began to make enormous investments and develop research strategies. In particular, competition over the acquisition of human resources, infrastructure development, and the formation of research centers in the U.S., China, and Europe emerged, and the international struggle for superiority centered on AI deepened. It became the foundation for shaping the future of AI. The companies and nations that caught the early signs of this inflection point were the ones that gained an advantage in later competition.