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  • Writer's pictureLaila Alahaideb

The fifth generation

In the human lifecycle, the firstborn babies came into the world with no skills, then they start monitoring the environment around them, and with their little intelligence, they can improve it, gain skills, and learn to go on with life.

So, imagine a machine’s lifecycle, we create a machine then we give it intelligence referring to acting intelligently and mimicking us. AI stands for Artificial Intelligence which is an artificial mimicking of human intelligence or organism intelligence, and its behaviors patterns for the machines, AI is the machines that exhibit intelligence.

Moreover, Machine Learning (ML)is a technique that gives machines the ability to learn from given data, this technique is a subfield of AI, an ML field based on training the machines on given data to learn, On the other hand, Deep Learning is a subfield of ML, which is a branch of AI that imitates the human brain and how it gains certain types of knowledge using neural networks.

Neural networks are inspired by the human biological brain that enables a computer to learn human abilities from observational data; based on architecture and usage. Deep learning is a branch of Machine Learning. The word 'deep' in deep learning refers to the depth of layers in neural networks, and there is a collection of algorithms in deep learning similar to the interaction between stimuli and neurons in the human brain that has proven to be highly beneficial in the areas of text, image, and speech recognition. It is a technique that can learn features and tasks from data through multi-layered neural networks.

AL is an emerging area of computer science, which examines how to program computers to think like people. AI software, parallel processing hardware, and VLSI are the foundation of this generation(Fifth generation) these machines are state-of-the-art computational tools for current science and all high-level languages are used in these machines.

Making machines capable of self-organization and learning is the main objective of the fifth generation.

Thanks to AI technology, these machines could understand human language and identify graphs and pictures. The development of fifth-generation computers will allow them to handle challenging tasks, such as interacting with natural language. They will be less expensive than the current generation and be able to use many CPUs and do parallel processing which means faster than the fourth generation.

From my point of view, there is only one advantage that worries me and it’s too intelligent in motoring and cause to infect our privacy and security! Of course, we will develop our systems to be secure, but imagine anyone can use it to attack.

Related Knolegment:

P. Goyal, S. Pandey, and K. Jain, Deep Learning for Natural Language Processing. Berkeley, CA: Apress, 2018. doi: 10.1007/978-1-4842-3685-7.

“Artificial Intelligence.” (accessed Oct. 27, 2022).

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