Data collection
The development phase requires proper planning and consideration. For example, a young child can recognise an apple by someone pointing and naming the fruit a few times. From there, he would be able to recognise all sorts of apples.
But in machine learning, it takes thousands or millions of data and algorithms for the machine to identify it as an apple.
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While there are still challenges with Artificial Intelligence, we should not underestimate what AI can do. We know there are still many uncharted areas to be discovered in the coming years.
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