The Rise of Artificial Intelligence , beginning to endless Future

Countless ideas keep coming to our minds day and night. We do not know how many of these ideas, which seem absurd or crazy to us today, we will be able to see them become reality in the coming days. That is why Einstein said. “If an idea is not initially considered absurd, then there is no hope for it.”

The era we are living in today is undoubtedly the era of the rise of technology, as artificial intelligence and nanotechnology have put time in the hands of man. The concepts that were science fiction until half a century or a century ago have become scientific reality before our eyes, and what seems impossible to us today, it is not unlikely that in the next few years they will have become part of “charismatic science”. It is man’s contemplation of the impossible that has opened the doors to a completely unexpected and profound scientific field.

Artificial intelligence has been a favorite topic of scientists since the 1960s. The number of doors of research and exploration that AI has opened for humans has not been reached by any other science before. As the name suggests, it is an attempt to artificially enhance human mental abilities and make a machine work like a brain, which depends entirely on understanding the mechanism of the brain. 

Also I would like to add this topic in my Blog 

What is 'Generative AI', an interesting but 'scary' form of artificial intelligence?

In the era of modern technology, where artificial intelligence (AI) is being discussed, its growing development is also worrying some people, but despite all the concerns, people around the world are not hesitating to invest billions of dollars in artificial intelligence.

This is why Sam Altman, CEO and co-founder of ‘Open AI’, has said that he is not worried about the cost of developing ‘Generative AI’.

He said, ‘If we are doing something for society, I don’t care how much money we are spending.’

He said, ‘Whether we bring in $500 million annually or $5 billion or $50 billion. I don’t care.’

Sam Altman is among those who have played a significant role in making artificial intelligence accessible to the public. After the invention of computers and then the Internet, artificial intelligence is considered the third greatest human advancement in the field of technology.

Generative AI is a type of artificial intelligence that can create new, pure content.

This content can be in the form of text, images, video, sound, or any form of software requested by the user.

Generative AI relies on highly sophisticated deep learning models of machine learning. Deep learning mimics the human brain in learning and decision-making. This model identifies patterns in large amounts of data, understands them, and then uses its understanding to create new and useful content based on instructions given by the user in a specific way.

Earlier, to give any instructions to a computer, one had to master various computing languages ​​such as C++, Java, Python, etc. Now you can ask the AI ​​to write code in a common spoken language.

Most generative AIs have three stages:

Training: In which a basic model is created

Tuning: The basic model is adjusted to serve a specific purpose

Creation, Evaluation, and Feedback: In this stage, the content generated by the AI is continuously reviewed and improved for quality and accuracy.

Just as human learning never stops, so does the learning of AI.

As mentioned earlier, generative AI is capable of creating many types of original content. Let's look at some examples.

Writing: Instructions, product promotions, advertisements, emails, website content, articles, blogs, research papers, even creative writing such as poetry. It can provide a brief summary of a larger document. It can be summarized in points. This gives the writer more time to do more creative work.

Images and videos: Image generation engines like Dil-E, Midjourney, and Stable Diffusion can generate any image or video you want. You can tell a scene by asking it to be painted by a specific artist or in a specific style. You can edit a pre-generated video as you like. Sound and music: Generative models can speak by combining natural sounds and audio content. They can read books. It can create completely original music for musicians, just like a master musician would.

Software code: It can create a computer code. After which, software developers can quickly fix errors and produce any software in working condition. To do this, they do not need to give instructions in computer language but can tell the AI model in human language what code to write and what it will be used for. Design and art: Generative AI can create unique artistic designs for designers. Creating environments and characters for video games, etc.

Illusions and artificial data: Generative AI models can be trained to generate artificial data and structures based on real data. For example, to develop a new drug, what should its chemical structure be?

Conclusion

The rapid evolution of technology has turned once-absurd ideas into groundbreaking realities, proving the limitless potential of human innovation. From artificial intelligence breakthroughs like Dr. Naveed A. Syed's bionic chip to the transformative power of generative AI, we are witnessing the reshaping of our world. However, as we embrace these advancements, we must remain mindful of their ethical implications, ensuring they serve humanity’s best interests. The journey of discovery reminds us that today’s impossibilities often become tomorrow’s realities.