AlphaGo

AlphaGo is Google DeepMind’s Go-playing AI that defeated 9-dan Lee Sedol in 2016, becoming a landmark moment for AI in Korea.

It is a Go artificial intelligence developed by Google DeepMind, and is characterized by combining deep neural networks and reinforcement learning to improve its skills by playing against itself. In 2016, he shocked the world by defeating 9-dan Lee Sedol in a match held in Seoul.

Now, it is not a service that can be used by the general public, but a project that is remembered as a milestone in AI history. It is also the most frequently cited example when explaining the possibilities of AI.

Afterwards, it developed into follow-up research through self-taught learning without human notation, and this technology flow led to AI for scientific research such as protein structure prediction.

✅ Strengths

• It is a symbolic example that made the public aware of the possibilities of AI and reinforcement learning. It showed new moves in Baduk, which was considered the area of human intuition, and also influenced Baduk research.
• Follow-up research became the foundation for the development of AI in the scientific field.

⚠️ Limits

• It is not a service that can be used directly by the general public
• It is an AI specialized for the specific problem of Baduk, and its nature is different from general-purpose AI such as ChatGPT.