In a remarkable twist of fate, Artificial Intelligence (AI) has been known to display acts of novelty that have left us in awe. But, despite what the media might have you believe, no AI system currently possesses sentience. So, if AI shows signs of novelty, it is not due to human-like insight or ingenuity, but rather the result of concrete computational algorithms and data-based pattern matching.
To illustrate this concept, let’s take a look at an example involving the game of Go and relate it to self-driving cars powered by AI. While AI systems can systematically identify and suggest novel ideas, the process of human minds generating novel thoughts or intuitions remains a mystery. Could it be that humans are also governed by internal mechanistic facets or other unknown factors?
Four years ago, Lee Sedol, one of the world’s top professional Go players, faced off against an AI program called AlphaGo. Developed by DeepMind Technologies and later acquired by Google, AlphaGo utilized techniques from Machine Learning and Deep Learning to constantly improve its performance. This match between Sedol and AlphaGo attracted worldwide interest, with doubts and uncertainty surrounding the outcome. Despite these concerns, AlphaGo won the first game, surprising both Sedol and the Go community.
The real surprise came when, during the second game, the program made a move on the Go board that no one had expected, leading to the move being dubbed "Move 37" and earning recognition as a novel move made by AI. AlphaGo continued its winning streak, defeating Sedol in the third match as well. Despite losing the fourth game, Sedol made a non-conventional move that caught onlookers by surprise. This move weakened AlphaGo’s position, ultimately leading to the AI system’s resignation. Sedol finally secured a win against AI, though he lost the fifth game, giving AlphaGo a total of four victories.
This example showcases how AI can demonstrate acts of novelty in complex games like Go. While AlphaGo’s "Move 37" and Sedol’s unexpected move highlight the remarkable capabilities of AI, it is crucial to recognize that these actions are a result of algorithmic computations and pattern matching rather than human insight. The advancements in AI, as demonstrated by AlphaGo, offer valuable insights into the potential of AI in various fields, including self-driving cars. Who knows what other surprises AI has in store for us?
The dawn of artificial intelligence has brought an unprecedented level of innovation to a host of industries, from robotics to marketing. Advancements in AI have been especially profound in the game of Go, a complex board game revered for its subtleties in strategy and challenge of speed. In recent years, AI has made waves in the Go scene, with advancements unlocking the power of AI for very specific applications in the autonomous vehicle space and beyond.
In 2016, the world witnessed the first famous AI victory over the game of Go when Google DeepMind’s AlphaGo defeated Lee Sedol, one of the world’s top Go players. This was a major milestone in AI research, marking the first time an AI program proved adept at a game as challenging as Go—a feat once thought to be too complex for automation. AlphaGo’s success set the stage for a host of new AI advances.
The deep learning techniques used by AlphaGo have evolved to become essential components in the autonomous vehicle and AI marketing spaces. Autonomous vehicles utilize deep learning by leveraging this technique to train their driving models. These models are used to identify obstacles, lanes, traffic, and other objects in road scenes to make smart decisions while driving. AI marketing services are also leveraging deep learning, using it to analyze customer’s past purchase behavior, collect reviews and feedback, and adjust advertising strategies on the fly.
AI advancements in the Go space have even gone a step further, with programs like AlphaGo Zero learning to play the game without being taught human strategies. This breakthrough demonstrates the applicability of AI for highly complex tasks.
While the potential for AI to radically transform our way of life is still in sight, its capabilities have already been augmented long since its very first success. The victory of AlphaGo over Sedol was a seminal moment for the application of the power of AI, and the subsequent advances made in the autonomous vehicle and AI marketing services space finally unlock its true potential. Going forward, the game of Go will continue to spark innovations for the greater good of humanity, further pushing the boundaries of what is possible with AI.