Which AI program developed by DeepMind famously defeated world champion Lee Sedol in the complex board game of Go in 2016?
What subfield of AI enables computers to "see," interpret, and understand visual information from images and videos?
What is a significant ethical concern in AI where algorithms learn and perpetuate unfair or discriminatory patterns from biased training data?
In early AI, what type of system was designed to mimic the decision-making ability of a human expert, often using a knowledge base and inference engine?
Current AI systems, such as facial recognition or recommendation engines, are classified as what type of AI, capable of performing only specific, well-defined tasks?
What is the common optimization algorithm used in machine learning to minimize the cost function by iteratively moving in the direction of the steepest descent?
What is the name of the fundamental algorithm used to train artificial neural networks by iteratively adjusting the weights of connections based on the error rate of the output?
What advanced deep learning architecture involves two neural networks, a generator and a discriminator, competing against each other to create realistic synthetic data?
Which early approach to AI, sometimes called "Good Old-Fashioned AI (GOFAI)," primarily focused on representing human knowledge using symbols and rules, rather than statistical learning from data?
Which type of neural network is particularly well-suited for processing sequential data, such as natural language or time series, due to its ability to maintain an internal "memory" of previous inputs?