AI & Tech

Recent technological development

Artificial intelligence and machine learning

applied in various industries, such as

  • healthcare, finance, and transportation, to improve efficiency and accuracy of decision-making processes,
  • used in the development of autonomous vehicles, speech recognition, natural language processing.

Artificial intelligence (AI) refers to the development of computer systems that perform tasks that typically require human intelligence, such as

  • visual perception,
  • speech recognition,
  • decision-making, and
  • language translation.


Blockchain technology is the underlying technology of cryptocurrencies like Bitcoin, being applied in various industries to improve data security and transparency. It has the potential to revolutionize industries such as

  • finance,
  • supply chain management, and
  • healthcare.

Quantum computing

A rapidly advancing technology that has the potential to solve complex computational problems that are beyond the capabilities of traditional computers. This technology is being researched and developed by companies such as

  • Google, IBM, and Microsoft.

5G wireless networks

Provide faster and more reliable internet speeds, enabling new applications such as

  • self-driving cars, remote surgeries, and virtual reality experiences.

Augmented and virtual reality

Used in various industries, such as

  • entertainment, education, and healthcare.

They have the potential to revolutionize how we interact with digital content and to create immersive experiences that can enhance learning and understanding.

Internet of Things (IoT)

The Internet of Things (IoT) refers to the network of interconnected devices. They communicate with each other and share data. This technology is being used in

  • healthcare, agriculture, and transportation, to improve efficiency and decision-making processes.

Artificial Intelligence

are designed to

  • learn
  • adapt over time, enabling to improve their own performance and accuracy as they process more data and encounter new scenarios.

Show the

Some common applications include

  • natural language processing,
  • computer vision,
  • robotics, and
  • machine learning.

This innovation has the potential to revolutionize many industries and change the way we live and work.

However, there are concerns around the ethical implications of AI and its impact on employment and the society.

The Page

In this page we write about

  • the technologies behind these systems,
  • the ethical view of those systems,
  • the social impact what those systems create,
  • recent news,

about the

  • applications,
  • softwares,
  • products which were created by Artificial Intelligence.

We show how these systems can be used and seen as sustainable and present e.g.:

  • how to use guides,
  • reviews of applications,
  • lists about good to knows,
  • technologies behind them, and
  • how AI can be part of sustainable development.

We show how AI can help raise social responsibility and be part of a more holistic view and help to create products and services which are part of the circular economy and sustainable for example the Go Green brand.

Why generative AI can be seen as a chameleon?

Generative AI

can be seen as a chameleon because it has the ability to

  • adapt and
  • generate content in a way that resembles different styles, genres, or even individual authors.

This is achieved by neural networks, which are trained on enormous amounts of data and can then generate added content based on the patterns and structures they have learned.

Like a chameleon, generative AI can blend in with its surroundings by producing content that is similar like existing works in a particular genre or style. For example, a generative AI trained on a dataset of classic literature might be able to generate new works that mimic the style and tone of authors like

  • Jane Austen or
  • Charles Dickens.

These systems can be used to create content that is entirely new and unique, like a chameleon changing its colors to blend in with a new environment.

For example, a generative AI trained on a dataset of abstract art might be able to generate new works that are completely unlike anything that has been created before.

Generative AI’s ability to adapt and generate content in a way that

  • mimics existing works or
  • creates entirely new ones can be seen as similar to the chameleon’s ability to blend in with its surroundings or change its appearance to suit an unfamiliar environment.
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