{"id":8009,"date":"2018-01-23T07:00:32","date_gmt":"2018-01-23T15:00:32","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=8009"},"modified":"2017-12-05T10:33:01","modified_gmt":"2017-12-05T18:33:01","slug":"artificial-intelligence-step-wise-advances-enable-machine-learning-to-evolve","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/artificial-intelligence-step-wise-advances-enable-machine-learning-to-evolve\/","title":{"rendered":"Artificial Intelligence: Step-wise Advances Enable Machine Learning to Evolve"},"content":{"rendered":"

AI that can be used to self-build more complex and more accurate AI is beginning to happen.\u00a0 Google’s NASNet researchers say that they have developed AI that can do just that.\u00a0 The computer-generated AI system is called NASNet, and it is able to identify objects in pictures more accurately than existing AI algorithms.\u00a0 For example, NASNet is able to spot objects like people and household objects in photos and videos.<\/p>\n

Google describes their AutoML (Automatic Machine Learning) approach for NASNet<\/a> here<\/a>. It’s quite an accomplishment, but maybe it is not as groundbreaking as the headlines about it would have you believe. The NasNET approach is to use an accepted model for image recognition but to then add another higher-level of machine learning that tunes the parameters of the machine learning feedback layers used for image recognition, parameters that had previously been chosen by humans. The result is that NASNet is more accurate than previously developed AI algorithms.<\/p>\n

NASNet researchers said that<\/a> “we hope that the larger machine learning community will be able to build on these models to address multitudes of computer vision problems we have not yet imagined.” Machine Learning will most likely evolve in this way, with a step-wise replacement of tasks done by humans, gradually advancing the capabilities of what machines can do.<\/p>\n

Do humans need to worry? Ray Kurzweil said that<\/a> “my view is not that AI is going to displace us. It\u2019s going to enhance us. It does already.”<\/p>\n

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AI that can be used to self-build more complex and more accurate AI is beginning to happen.\u00a0 Google’s NASNet researchers say that they have developed AI that can do just that.\u00a0 The computer-generated AI system is called NASNet, and it…<\/span><\/p>\n

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