In August 1955, a group of scientists made a funding request for US$13,500 to host a summer workshop at Dartmouth College, New Hampshire.
At the center of all this is the question that has been growing in urgency since the Dartmouth summer workshop: Does AI differ from human intelligence?To qualify as AI, a system must exhibit some level of learning and adapting. For this reason, decision-making systems, automation, and statistics are not AI.
The key challenge for creating a general AI is to adequately model the world with all the entirety of knowledge, in a consistent and useful manner. That's a massive undertaking, to say the least. AGI, however, would function as humans do. For now, the most notable example of trying to achieve this is the use of neural networks and"deep learning" trained on vast amounts of data.models that run calculations on the training data, neural networks work by feeding each data point one by one through an interconnected network, each time adjusting the parameters.
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