A recent article in the Journal of Physical Review claims that the application of quantum mechanics driven algorithms can substantially improve the performance of robots and other automatons that use artificial intelligence. This appears to be in the right direction as it is known for a while that the brain itself is a quantum computer. Mediocre and linear attempts at artificial intelligence by leading engineering schools have brought ill-repute to the field of AI for long.
The “new idea” brings into focus the need for robots to be flexible – able to learn and act descriptively, not prescriptively. Computer behemoths and computer science departments in universities have been battling with software and hardware constructs, totally useless for AI for many decades. To make matters worse, they showcase stupid applications such as Siri and Jeopardy winning Watson as examples of AI. These ideas have kept a generation of computer scientists bottled up, chasing irrelevant and incongruent ideas, in an attempt to create intelligence artificially.
Perhaps, we are approaching the exit of the dark ages of computing, held hostage by incompetent companies. The idea that intelligence is dependent on both qualitative and quantitative information come as a shock to the traditionalists, but much has been written about it. For any straight thinking person, it should be clear that intelligence cannot be coded in conventional languages and run on conventional computers.
Search companies and space administrations run by the government are unlikely to advance this field. It will require creative and uninhibited minds of the next generation, less worried about world domination.
The “new idea” brings into focus the need for robots to be flexible – able to learn and act descriptively, not prescriptively. Computer behemoths and computer science departments in universities have been battling with software and hardware constructs, totally useless for AI for many decades. To make matters worse, they showcase stupid applications such as Siri and Jeopardy winning Watson as examples of AI. These ideas have kept a generation of computer scientists bottled up, chasing irrelevant and incongruent ideas, in an attempt to create intelligence artificially.
Perhaps, we are approaching the exit of the dark ages of computing, held hostage by incompetent companies. The idea that intelligence is dependent on both qualitative and quantitative information come as a shock to the traditionalists, but much has been written about it. For any straight thinking person, it should be clear that intelligence cannot be coded in conventional languages and run on conventional computers.
Search companies and space administrations run by the government are unlikely to advance this field. It will require creative and uninhibited minds of the next generation, less worried about world domination.
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