It is the second post of the series in AI vs. Humans. In this post, we will discuss why AI is more brilliant than and what makes Artificial Intelligence Intelligent than humans.
What makes an Artificial Intelligence Intelligent – AI vs. Humans
- How the human brain interprets data – AI vs. Humans
- What makes an Artificial Intelligence Intelligent – AI vs. Humans
- Artificial Neural Network and Evolutionary Computation – AI vs. Humans
Assuming we know what artificial intelligence is, why do you think they are smarter than us? Is it because they can compute fast or since they are machines, so they don’t get tired? To an extent, yes. Let us list the primary reasons AI is more competent than us and then discuss and compare it with the human brain.
Artificial Intelligence is more intelligent because
- High Computational speed.
- The sophisticated and efficient algorithm.
What is the computational speed of AI? Is it a match with the Human Brain?
MIPS, or million instructions per second, is used to measure the computing speed of computers.1 MIPS can extract simple jobs, for example, tracking a white line on a simple background. 10 MIPS can be used in self-driven vehicles. A three-dimensional recognition requires around 1,000 MIPS and so on.
It takes a lot for a machine to do even a simple task. Thus the requirement for hardware and efficient algorithms increases. If we have to make a comparison, we can relate the nerve volume to the computation of AI. The human eye, or Retina, has five types of neurons(Yeah, it’s fantastic). All the neurons that join at the end form an optical nerve that carries the signal to the brain. They react differently when they see an image, which is passed to the brain to compute. Overall, the retina seems to process about ten one-million-point photos per second. That’s the reason why we can pick up images unknowingly. You can say it’s a camera with some fantastic megapixels.
So now, how fast AI or a robot can do? For single motion detection, it needs 100 computer instructions. So 100 million instructions for a million motion detection and repeat it 1000 times to get to the power of retinal function. Now that’s too much.
If we start thinking of making a machine like this, you can make it at the cost of a 100 million dollar project. Unless the cost of hardware and efficiency of the device is overcome, it won’t be cheap. Then there is another catch. The rapid development of computer hardware and technology holds the promise to deliver that in 20 years. Are you ready?
A complex and efficient algorithm
There is an algorithm that makes AI smart. They can help to apply reasoning capabilities to conclude. The System offers strong pattern recognition capabilities and techniques for reasoning under uncertainty and applies biologically inspired concepts. It can lead to the evolution of robots or AI to maintain their population and evolve with time.
I have selected two algorithms to explain, one will be Neural Networks, and the other is Evolutionary Computation. So the next post will be dedicated to these algorithms.
