{"id":3599,"date":"2019-11-15T16:37:26","date_gmt":"2019-11-15T08:37:26","guid":{"rendered":"https:\/\/glutenfreepleasure.com\/__proxy_domain\/dev.itsolution.com.sg\/?p=3599"},"modified":"2020-03-03T20:03:05","modified_gmt":"2020-03-03T12:03:05","slug":"build-an-artificial-intelligence-that-is-close-to-the-human-mind","status":"publish","type":"post","link":"https:\/\/glutenfreepleasure.com\/__proxy_domain\/www.itsolution.com.sg\/news\/build-an-artificial-intelligence-that-is-close-to-the-human-mind\/","title":{"rendered":"Build an Artificial Intelligence That is Close to the Human Mind"},"content":{"rendered":"

Technological Advancement Through Artificial Intelligence: Redefining the Future<\/h2>\n

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Can we ever build an Artificial Intelligence that is close to the human mind? For years, scientists have been trying to develop a computing system that aims to mimic the power of the human brain. We have more than 100 trillion neurons,<\/a> or electrically conducting cells in our brain. These give us the incredible computing power for which we are known.<\/p>\n

Computers can do things like multiply 134,341 by 989,999 well, but they can’t do things like recognise human faces or learn or change their understanding of the world. At least not yet, and that’s the goal of AI: to devise a computer system that can acquire and process images and otherwise be human-like.<\/p>\n

In all our computers, there is a very powerful core, but then you have a long queue of tasks that come in sequentially and processed sequentially. As for our brain, the computation of units, which are the neurons, are connected in a highly parallel manner. It’s this high-level parallelism that has advantages in learning and recognition. So it’s the parallelism in the brain that allows us to use what we need just when we need it, and to not waste energy on running background processes that we all know slow down our computing power.<\/p>\n

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Re-engineer the Computer<\/h3>\n

The plan today is to re-engineer the computer from the ground up and improve the technology further with innovative network solution providers<\/a>. Future computers will have the capacity to calculate non-arbitrary, low-voltage decisions through a few cores that we see today. Experts deem that these advancements would be capable of directing circuits of messages as the brain does. Until recently, this was a theoretical concept because there was no way to send as much information in a single transmission as we have now.\u00a0 So, artificial intelligence is the only incredibly brilliant measure that could be closer to reality.<\/p>\n

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Creating a Radical New Computing Paradigm<\/h3>\n

Scientists may be on the verge of creating a radical new computing paradigm, one that uses hardware that simultaneously stores and processes information \u2013 not unlike networks of neurons in the brain. Brainbox computing chips may just be the future, as it:<\/p>\n