Researchers in a niche field called deep learning spur new corporate interest in AI by showing their ideas can make speech and image recognition much more accurate.He had high hopes of a breakthrough in the drive toward human-level machines. “We think that a significant advance can be made,”Those hopes were not met, and McCarthythat he had been overly optimistic. But the workshop helped researchers dreaming of intelligent machines coalesce into a recognized academic field.
As the field of AI developed, so did different strategies for making smarter machines. Some researchers tried to distill human knowledge into code or come up with rules for specific tasks, like understanding language. Others were inspired by the importance of learning to understand human and animal intelligence. They built systems that could get better at a task over time, perhaps by simulating evolution or by learning from example data.
Ethics not included. Our reach often exceeds our grasp without thinking this shit through to the goals and end-results we desire.