Smart machines require continuous learning and adaptation from "summary" of Smart Machines by John E. Kelly III,Steve Hamm
Smart machines are not static entities; they are dynamic systems that must constantly learn and adapt to their environments. This characteristic sets them apart from traditional machines, which perform pre-programmed tasks without the ability to improve over time. The key to the intelligence of smart machines lies in their capacity to learn from data, identify patterns, and make decisions based on this information. Continuous learning is a fundamental requirement for smart machines to stay relevant and effective in today's rapidly changing world. By analyzing new data and adjusting their algorithms accordingly, these machines can enhance their performance and make more accurate predictions. This iterative process of learning enables them to respond to new challenges and opportunities with agility and precis...
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