English009

1.

Tomsk State University of Control Systems and Radioelectronics
Andriyanov Kirill
Group 534-2
HISTORY OF AI
Faculty of computer systems
Checked by E. Tavanova

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SLIDE CONTENTS
• Introduction
• Creation and Development of Neural
Networks
• Capabilities of Neural Networks Today
• Conclusion
• Links

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Introduction
Neural networks are computer models that
work like the human brain. They consist of
many artificial neurons connected to each
other and can learn from examples to solve
various tasks.

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Creation and Development of Neural Networks
In 1943, Warren McCulloch and Walter Pitts proposed the
first mathematical model of a neural network.
In 1974, Paul Werbos introduced the algorithm, which
enabled efficient training of multi-layer neural networks.
This spurred the development of more complex models.
Warren McCulloch
Walter Pitts

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Creation and Development of Neural Networks
With advances in computational power and the
availability of large datasets, neural networks became
the foundation of technologies like speech
recognition, image processing, and machine
translation.

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Capabilities of Neural Networks Today
•Pattern Recognition:
Neural networks can identify faces in photos, distinguish objects, and even diagnose
diseases based on medical images.
•Natural Language Processing:
They can understand and generate text, which is used in chatbots, translation tools, and
sentiment analysis systems.
•Recommendation Systems:
Based on user preferences, neural networks suggest movies, music, or products that might
interest them.

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Capabilities of Neural Networks Today
•Task Automation:
Neural networks are applied in autonomous vehicles, robotics, and optimizing business
processes.
•Creative Applications:
They can create artwork, compose music, and even write articles mimicking human style.
“NeuroSama” – Twitch streaming AI

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Conclusion
Neural networks have become an integral part of
modern technologies, significantly expanding
possibilities for automation and data analysis.

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Links
History of Artificial Neural Networks
Neural Networks and Deep Learning Overview
How Neural Networks Work