The awkward truth about  AI!

The awkward truth about AI!

The world is moving each day towards the third wave of the AI era and its other major investment. Thus, it is the absolute time to take a historical outlook on the present success of artificial intelligence.

In the phase 1960s, the initial AI experts have often predicted eagerly that the machines which had the human-based intelligence were only 10 years far. In fact, that form of artificial intelligence was strongly constructed on the logical reasoning full of symbols and was further performed by those slow digital computers, based on today’s era. These few of the studies are considered and failed by the neural networks.

In 1980, the second age of AI was mainly based on the two technologies called rule-based expert systems, which is mainly more of the essential way of the symbol-based logical reason. Additionally, the other one is a renascence in neural networks, that are activated by the appearance of the latest training related to the algorithms. Notably, the main thing noticeable was there were breathless predictions about the end of human dominance in intelligence.

During the 2000s, the current and the third age of artificial intelligence that arise with the latest symbolic reasoning systems that are truly build-up on the algorithms, that have the ability to solve the bunch of problems named 3SAT. Additionally, they have another advancement called simultaneous localization and mapping and SLAM  is a technique used for developing maps in an order of increment, as a robot moves worldwide.

Further, by the 2010s, this wavelet of AI accumulated a new and powerful momentum with the rise of neural networks learning from the huge data collections. This would soon turn into a sea of hype, vows, and other applications of gains.

Despite all this about AI, the actual scenario is simply that just about every fortunate deployment has either one of the two benefits. The one is that it offers the availability of persons present within the loop, the failure’s cost, system errors which are very low.

In 2002, the iRobot, a firm that was co-founded and introduced by I, as the first heap-market autonomous home-cleaning robot, the Roomba, at a reasonable rate that would mainly constrict the amount of AI one can provide with it.

Thus, the limited artificial intelligence was just not an issue. But the worst failure plots depicted that the Roomba missed a patch of flooring and failed to grab up a few dustballs.

Further, speaking then that same year, it was noticed that there was a huge deployment in the first of the thousands of robots in Afghanistan. Later, it was claimed that Iraq also aided the troops to disable the extemporized explosive devices.

Hence, the failures could definitely end up killing a few, so there was always one of the humans within the loop to provide the adequate command at the right time to the AI systems regarding the robot.

Yet, these days the systems based on artificial systems sovereignly take the decision related to the advertisements to be displayed on the Web pages.







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