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[E-book] Human and Artificial Brains: an essential guide on artificial intelligence

Written by Alana Team
on September 14, 2020

How about learning even more about artificial intelligence with a practical, didactic guide and full of curiosities? We have developed a special e-book for you to learn about the history of AI and the functioning of human and artificial brains.

The main objective of the e-book Human and Artificial Brains is to show points of inspiration for the development of artificial intelligence technology, such as human anatomy, in addition to presenting themes that demystify the future of AI. The idea is to explain how machines learn and the role of humans in this process.

 

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Check out a brief description of each chapter, and download the e-book to access the full content.


  1. The history of artificial intelligence
  2. Influence of human anatomy on AI
  3. How humans and machines think
  4. Artificial intelligence and machine learning
  5. Types of machine learning
  6. Blackbox and Explainable AI
  7. Languages ​​and AI
  8. Communication between machines and humans
  9. The future of artificial intelligence

The History of AI

Artificial intelligence has been constantly evolving since the 1950s, but early thoughts on the concept started long before, through philosophers like Socrates, in 390 B.C. 

The discipline has been advancing little by little over the decades, and more recently, between the 90s and the 200s, we have seen significant progress that allowed smart machines to gain high quality and commercial scale.

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How AI was inspired by human anatomy

Did you know that neuroanatomy influences on how scientists study and develop artificial intelligence? Understanding the human brain is very important to understand how artificial neural networks work and how they transmit information for machine learning.

How humans and machines think

Do machines think like humans? In this chapter we show the differences between human and machine learning, details about memory processing and storing information in organic and artificial brains.

Artificial Intelligence and Machine Learning

The connection between AI and machine learning is simple, and in this chapter, we explain the concepts of both, the role of learning in the evolution of the machine and the differential concerning other techniques.

Also, learn about deep learning and the definition of Strong AI and Weak AI.

Types of Machine Learning

There is more than one way to teach a machine, with varying degrees of interference and human supervision. Understand the peculiarities of each method and the evolution over the years, in addition to learning more about Jean Piaget's theory, which explains human development and also inspires the way scientists teach machines.

Blackbox and Explainable AI Concepts

Machine learning can have some consequences, both positive and negative since human developers do not always understand how machines achieved a certain result. 

In this section of the e-book, we explain what blackbox algorithms are, which generate uncertainties about machine decisions, and the concept of Explainable AI, which, on the contrary, tries to explain the decisions made by autonomous machines.

Languages and Artificial Intelligence

For any communication to be successful, an understanding of the language used between the two parties is essential. Understand the concepts of language, signs, and how decoding and interpretation are essential for communication between machines and humans.

Also, know what NLP (Natural Language Processing) is and the study phases of this topic.

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Communication between humans and machines

Do you want to know about the future of communication between machines and humans? Learn the NLP (Natural Language Processing) approaches in artificial intelligence and what is the limiting element in this process. 

Also, understand how scientists are working with NLP so that communication with machines happens in a fluid and natural way. Also, know the concepts of understanding natural language (NLU) and natural language generation (NLG).

Future of AI

Besides the constant academic search for improvements for machines that use artificial intelligence, the market faces the proliferation of companies in the field and even initiatives in favor of the regulation of this technology in several countries.

Regarding the adoption of artificial intelligence at the corporate level, Marcel Jientara, CEO of Alana AI, believes that we are in the first generation of adoption of artificial intelligence, as he explained during the debate on artificial intelligence for marketing and retail.


Still curious about the AI ​​universe and its applications of technology? Download the full e-book and listen to the Inside Alana Podcast  to delve deeper into the concepts of artificial intelligence.

 

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