جيفري هينتون.. كيف صنع الأب الروحي للذكاء الاصطناعي المستحيل؟

Very useful article, Doctor.
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الذكاء الاصطناعى وتطويره والمراحل التى نر بها هذا العالم للوصول الى هذه النتائج المبهرة
Artificial Neural networks
NLP
Back propagation
هنا كرم محمد ابراهيم
Deep learning
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منه الله سعد محمد عبد الكريم الزنقلي
Deep learning
Artificial Neural networks
Transfer learning
Reinforcement learning
Back propagation
هذا المقال جيد جداً ومفيد جداا
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منه الله سعد محمد عبد الكريم الزنقلي
Deep learning
Artificial Neural networks
Transfer learning
Reinforcement learning
Back propagation
هذا المقال جيد جداً ومفيد جداا
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This article is very beautiful
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This article is very beautiful
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This article is very beautiful, Doctor
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1. Generative Adversarial Networks (GANs)


2. Self-Supervised Learning


3. Few-Shot Learning


4. Transformers Architecture


5. Neuro-Symbolic AI

((.Valuable Information
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Very useful article, Doctor.
1 Few-Shot Learning
2 Transfer learning
3 Reinforcement learning
4 BacArtificial Neural networks
5 Neuro-Symbolic AI
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Neural networks
Computer vision
Research renaissance
Back propagation
arsenal of algorithms
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"Thank you for the valuable information, it was really helpful."



1. Artificial Neural Networks
2. Natural Language Generation
3. Computer Vision Systems
4. Deep Reinforcement Learning
5. Human-Computer Interaction
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Very useful article, doctor
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Very useful article, doctor
thank you for the valuable information.
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1. Geoffrey Hinton and Neural Networks
Geoffrey Hinton is a British-Canadian computer scientist and cognitive psychologist, considered one of the pioneers in artificial intelligence, particularly in developing artificial neural networks and deep learning. He won the Turing Award in 2018, often referred to as the "Nobel Prize of Computing." His work in machine learning has significantly influenced the field, enabling AI to recognize patterns and make decisions similarly to the human brain.


2. Concerns About AI Advancements
In recent years, Hinton has expressed concerns about the rapid development of artificial intelligence and the possibility of AI surpassing human intelligence. He warns that advanced AI systems could become uncontrollable, raising ethical and safety concerns about their future impact on humanity.
Opinion on the Article:
The article provides a well-structured overview of Geoffrey Hinton’s contributions to artificial intelligence. It highlights his groundbreaking work in deep learning and neural networks while also addressing his concerns about AI’s potential risks. The discussion is insightful and presents a balanced perspective on both the advancements and challenges in AI
Five AI Terms in English:

1. Artificial Intelligence (AI) – The simulation of human intelligence in machines.
2. Machine Learning – A subset of AI that enables computers to learn from data.
3. Neural Networks – Computing systems inspired by the human brain’s structure.
4. Deep Learning – A type of machine learning using multi-layered neural networks.
5. Backpropagation – A training algorithm that adjusts weights in neural networks.
Full Name:
Amira Hatem Abdullah
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Who is Geoffrey Hinton?

Geoffrey Hinton is a British-Canadian computer scientist and cognitive psychologist who made pioneering contributions to the field of artificial neural networks and deep learning. His work focused on developing machine learning techniques. He received the Turing Award in 2018, often referred to as the "Nobel Prize in Computing," and was later awarded the Nobel Prize in Physics in 2024 for his fundamental discoveries in machine learning.
Hinton is considered the "godfather of artificial intelligence" due to his groundbreaking contributions,
particularly in the development of neural networks and deep learning.
Hinton’s background in cognitive psychology stems from his academic journey and research interests. He earned his PhD in Artificial Intelligence from the University of Edinburgh in 1977, where his thesis focused on "Relaxation and Its Role in Vision"—combining elements of psychology and computer science to understand how the human brain processes visual information.
His work revolved around cognitive psychology to help understand and manage cognitive processes, such as learning and perception, through artificial neural networks. This interdisciplinary approach enabled significant contributions to both cognitive psychology and artificial intelligence.

How Did Geoffrey Hinton Lay the Foundation for Artificial Intelligence?

With his unique genius, Geoffrey Hinton laid the structural foundations of artificial intelligence. He made numerous pioneering contributions that established the fundamental infrastructure of AI worldwide. With a cheerful smile, Hinton approached this task like a skilled architect designing a complex intellectual playground, which consists of the following:

1. Neural Networks

Hinton designed neural networks modeled after the human brain, making them the backbone of AI. This allowed computers to learn and think in a way similar to the human mind, in an unprecedented manner.

2. Deep Learning

Hinton unleashed the power of deep learning, enabling computers to dive deep into data and relationships, uncovering hidden patterns and secrets that even the most curious and knowledgeable minds might miss.

3. Backpropagation

He developed the backpropagation algorithm, a breakthrough that sent waves of excitement through the AI community. This technique taught machines how to learn from their mistakes and refine their processes over time.

4. Artificial Neural Networks (ANNs)

As the master puppeteer, Hinton brought artificial neural networks to life. These complex structures of connections became the stars of AI, astonishing the world with their ability to mimic human intelligence.

5. Machine Learning Algorithms

Hinton built a powerful arsenal of machine learning algorithms, providing machines with the instructions and rules needed to learn, adapt, and make decisions.

6. Natural Language Processing (NLP)

Adding a linguistic touch of magic to AI, Hinton helped teach machines to understand and generate human language, enabling them to interact and engage in conversations naturally.

7. Computer Vision

Hinton gave AI the ability to "see" by pioneering computer vision algorithms, allowing machines to analyze and interpret visual data just like human vision.

Thanks to Geoffrey Hinton, artificial intelligence has evolved into a revolutionary technology that continues to shape the future of science, industry, and daily life.



Important words:

Pioneering
The scientist made a pioneering discovery that changed the future of medical research.


revolved
The discussion revolved around the impact of artificial intelligence on modern education.
Foundations
Strong foundations are essential for building a successful career in any field.


algorithms
Modern artificial intelligence relies on complex algorithms to process data and make decisions.

AI
AI is transforming industries by automating tasks and improving decision-making processes.
Full name:
Hager Abdelrahman Ali
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Thank you, doctor. The article is useful.

How Did Geoffrey Hinton Lay the Foundation for Artificial Intelligence?

With his unique genius, Geoffrey Hinton laid the structural foundation of artificial intelligence. He made numerous pioneering contributions to AI, establishing its core framework worldwide. With his cheerful smile, Hinton approached this task like a skilled architect designing a complex mental playground, consisting of the following elements:

Neural Networks

Hinton developed neural networks modeled after the human brain, forming the backbone of artificial intelligence. This innovation enabled computers to learn and think in a way that mimics human cognition like never before.

Deep Learning

Hinton unleashed the power of deep learning, allowing computers to dive deep into data and uncover hidden patterns and relationships. This capability helps reveal insights that might even escape the most inquisitive and knowledgeable human minds.

Backpropagation

Hinton introduced the backpropagation technique, which sent waves of excitement through the AI community. This technique taught machines how to learn from their mistakes and improve over time.

Artificial Neural Networks (ANNs)

As the master puppeteer, Hinton brought artificial neural networks to life. These complex systems of interconnected nodes became the stars of the AI revolution, astonishing the world with their ability to simulate human intelligence.

Machine Learning Algorithms

Hinton built a powerful arsenal of machine learning algorithms—sets of instructions and rules that allow machines to learn, adapt, and make decisions autonomously.

Natural Language Processing (NLP)

Hinton added a linguistic touch to AI, teaching machines to understand and generate human language. This advancement enabled AI systems to interact, communicate, and engage in conversations naturally.

Computer Vision

Hinton empowered AI with the ability to "see" by developing advanced computer vision algorithms, allowing machines to analyze and interpret visual information from the world around them.

Through these groundbreaking contributions, Geoffrey Hinton not only revolutionized AI but also paved the way for its future development, shaping the world of intelligent machines as we know it today.

What is the relationship between the work of Geoffrey Hinton and Alan Turing?
Both Geoffrey Hinton and Alan Turing are key figures in the field of artificial intelligence, and their contributions are both significant and complementary.
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همس هيثم محمد عبدالرحمن
This article is useful
Machine Learning (التعلم الآلي): Machine learning allows computers to learn from data and improve their performance without being explicitly programmed.

Neural Networks (الشبكات العصبية): Neural networks are inspired by the human brain and are used to recognize patterns and process complex information.

Deep Learning (التعلم العميق): Deep learning is a subset of machine learning that uses multiple layers of neural networks to analyze large amounts of data.

Natural Language Processing (معالجة اللغات الطبيعية): Natural language processing enables computers to understand, interpret, and generate human language.

Computer Vision (الرؤية الحاسوبية): Computer vision allows machines to analyze and interpret visual data, such as images and videos.
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This article is wonderful and useful.
.good luck ,doctor

1. Artificial intelligence is used in many things, like phones and computers.


2. AI can help people by making tasks easier and faster.


3. Some people think AI is dangerous, but others believe it is very useful.


4. Many companies use AI to improve their products and services.


5. In the future, AI might change the way we work and live.
شروق سلامة إبراهيم
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Deep learning
Artificial Neural networks
Transfer learning
Reinforcement learning
Back propagation
Full name:
Aya mohamed mahmoud
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The article has scientific value and useful.

1.Artificial Neural Network (ANN)
2.Computer Vision (CV)
3.Natural Language Processing (NLP)
4.Deep Learning (DL)
5.Machine Learning (ML)
الاسم: منار محمد يوسف
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محتوي رائح واسلوب شيق في الكتابة
neutralnetwork
deep learning
backpropagation
ANNs
NLP
احمد مشرف احمد
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محتوي رائع ومفيد للغاية
1.Artificial Neural Network (ANN)
2.Computer Vision (CV)
3.Natural Language Processing (NLP)
4.Deep Learning (DL)
5.Machine Learning (ML)
الاسم: سارة سمير صقر الصادق
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