Simulating Human Intelligence: Are We Close To It?
Asimo takes a penalty and scores! Humans play football, innovate, delve into science, do mathematics, and much more. But, do you what is common between all of them? They all need creativity. And that is a facet of a brilliant thing called human intelligence. Read this to find out more!
Artificial Intelligence has been an essential part of human growth throughout the digital age, and it might last as long as human existence itself. It may be fascinating and unimaginable to someone who has never encountered technology that can leave them awe-inspired. The applications of AI range from robots to automation to enable business growth.
What is more, AI has slowly become a part of our daily lives. AI can provide us with every facility possible, but that leaves us with the question of whether “AI can simulate human thought process?” Researchers say that there’s no doubt that AI could be more intelligent and capable than humans. But, we can’t guarantee whether it can ever “think” like a human or come up with real-world solutions. In other words, how far can heuristics evolve into close simulations of the creative human brain? For simplicity, we will stick to the following topics:
- Simulating human intuition
- Focusing on the qualitative aspects of it
- Mobility, as a result of the fascinating human brain
Exploring Creativity Through Deep Learning
Let us explore this question. AI is the constant development of machines having the learning ability to match the natural intelligence of humans. A device that can think, perform and work as a human, but with higher efficiency is the purpose of AI solutions. Data scientists purport that AI can bring tremendous benefits to humanity and simplify complex statistical challenges. It can not only raising the standard of living but also solving real-world problems in less time. This benefit comes with the equivalent fear of impending global doom as the circumstances of living with AI are precarious.
Going Beyond Raw-Computing Power
An AI application may be as robust as a hundred trained human beings performing various tasks. But, it can lose to a five-year-old child’s natural ability to identify people based on their behavior. To make the machine recognize deeper correlations to generate better results and distinguish itself from people or animals, it needs innovative algorithms that can utilize the training set and produce a deeper understanding of the task performed. In other words, machines need to display spontaneity and fluidity between tasks when interfacing with people.
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The Power of Intuition
A kid can recognize anything or anyone from a distance through intuition that has evolved over thousands of years. However, in both cases, the knowledge is acquired. As a machine learns from existing data, and a child learns from their experiences, they both are a product of their environment.
But, a child will do it quickly and instinctively. And it makes us wonder whether AI can think like humans and replicate the neural networks of a child. There is also a huge misconception that AI could be more intelligent than humans and do virtually anything. After all, it performs the function the developer chooses for it. AI can perform functions faster, but humans are always quicker at picking up things and have an inherent gift of curiosity.
But, it is prudent to note that humanoids have come frighteningly close to simulating many of the physical traits of human beings. For instance, bipedalism has been a focus for Boston Dynamics. And if we look at Asimo, then there is no denying that mobility is improving. Let us see how far we can come to duplicating the behavioral traits of a homo sapien.
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