What is Artificial Intelligence?
What is Artificial Intelligence?
A Conversation with Mehdi Ahmadi – IT and Communications Manager, Sangan Steel Mining Industries Co
Please provide an explanation of the history of artificial intelligence.
Since the goal of intelligent automation is to add the ability to machines, equipment, and computers to think and behave like humans, the history of the emergence of Artificial Intelligence dates back to the early invention of industrial machinery. However, it was not until the 1930s, when the concept of computers began to be discussed, that artificial intelligence took on real-world relevance, and particularly with the development of various software and algorithms, it came to the fore.
Please provide explanations about different levels of artificial intelligence.
Regarding the different levels of artificial intelligence, there are currently three levels:
Narrow or Weak AI: At this level, AI-equipped devices lack the ability for independent reasoning and thinking. They can only perform predefined intelligent tasks. For example, Apple’s intelligent assistant Siri operates at this level, executing specific tasks with acceptable accuracy.
General or Strong AI: Systems at this level can think like a human mind, process information, and even make decisions. ChatGPT, the AI system you’re interacting with, operates at a level close to general AI.
Super intelligent AI: This hypothetical level has not yet been realized. super intelligent AI would surpass human brain capabilities and perform tasks like creating magnificent artworks, making complex multi-criteria decisions, and establishing deep emotional connections. However, it could also pose risks to human civilization.
Additionally, artificial intelligence encompasses various branches, including:
- Data Science
- Data Mining
- Expert Systems
- Machine Learning
- Deep Learning
- Fuzzy Logic
- Robotics
- Natural Language Processing
- Computer Vision
What are the main features of artificial intelligence?
The main components of artificial intelligence are as follows:
Identification and Perception: This involves using technologies such as machine vision and audio processing to identify the environment and understand phenomena and events.
Data Analysis: It encompasses analytical methods, inference, and reasoning, along with technologies like speech recognition and natural language processing.
Reasoning and Planning: This refers to intelligent and complex planning to achieve predefined goals and attain optimal results.
Learning: Machine learning, including algorithms and deep learning, is used to enhance artificial intelligence capabilities
Is artificial intelligence shaping the future of industry?
Due to its characteristics and capabilities, artificial intelligence (AI) will undoubtedly play a significant role in all industries in the future. It leads to a remarkable increase in productivity and the intelligent enhancement of industrial processes, resulting in improved efficiency and increased production. Therefore, the added value derived from the adoption of AI-based technologies in the future is noteworthy. Using AI across all industrial sectors, including production planning, raw material control, production operations, quality control, maintenance, repairs, design time, and waste reduction, brings benefits and drives transformation in these areas. Leveraging artificial intelligence in industry enables more effective decision-making, more agile and precise production processes, and reduced costs
What are the effects of Artificial Intelligence on cyber security?
Artificial intelligence (AI) can lead to the improvement of an organization’s cybersecurity system by collecting extensive information from events and logs, performing advanced incident analysis, and taking automated actions to mitigate or reduce threats. In this context, AI, using sophisticated algorithms, can automatically assist in identifying cyber-attacks in the shortest possible time. By analyzing vast amounts of data, AI can examine network traffic patterns and detect any anomalous behavior. Additionally, through neural networks, AI can predict suspicious user behavior automatically and, if necessary, alert both the user and network administrators. It can proactively prevent incidents by taking intelligent actions such as closing ports and intrusion pathways before cyber events occur. Furthermore, in the event of an attack, AI can limit the spread of consequences to other areas, preventing widespread damage to assets and systems.
Moreover, AI can enhance cybersecurity by utilizing big data analysis. By dissecting and interpreting large datasets, AI can identify suspicious patterns in the behavior of network components, users, and systems. When needed, it can restrict access to suspicious data, thereby improving overall security.
How do you evaluate the outlook and effects of machine self-awareness and its impact on human life?
Humans have always sought to improve and elevate their generation by transferring repetitive and derivative tasks to machines. However, the automation of machines can open a wide gateway of opportunities for scientific development, exploration, invention, understanding the mysteries of the world, assisting human brains, and expanding human capacities to achieve remarkable results. Artificial intelligence (AI) can impact various aspects of human life, including education, healthcare, entertainment, transportation, commerce, economics, and family life. As AI becomes more prevalent, it is likely that most people will experience improved conditions in the coming decades
How do you evaluate the future state of the world industry in the face of artificial intelligence?
The world’s industry is undergoing significant transformation through the widespread adoption of artificial intelligence (AI) applications. In the future, AI can create numerous intelligent solutions across various industries, including:
- Smart and automated industrial robots with high precision
- Optimization of production processes using machine learning
- Utilization of digital twins and reduction of network costs
- Predictive pricing for raw materials and intelligent product pricing
- Product development and enhancement with AI assistance
- Intelligent supply chain management
- Smart inventory management
- Personalization of smart products
- Quality control with zero waste
- Intelligent incident and production line event management
How do you evaluate the role of machine vision and digital twins in the industry?
The technology of digital twins provides numerous advantages for the industry, including:
- Continuous System Improvement: By analyzing personalized model data, it enables ongoing system enhancements.
- Real-Time Quality Assurance: Ensures product quality through real-time testing.
- Ensuring Production Goals: Ensures that production objectives remain unaffected by maintenance and repairs, avoiding unnecessary part replacements.
- Increased Reliability and Availability: Achieved through monitoring and simulation for performance improvement.
- Reduced Risk of Accidents and Unplanned Downtime: Predictive maintenance minimizes repair costs by anticipating failures before they occur.
- Evaluation of Modification Results: Assesses the impact of changes on equipment.
- Reduced Operational Time
Machine vision in industry has the following applications:
- Monitoring Hazardous and Toxic Materials
- Object Detection
- Defect Identification in Parts
- Quality Control
- Visual Inspections
Do you consider artificial intelligence an opportunity or a threat?
Artificial intelligence (AI) can be both a threat and an opportunity. The answer to this question depends on how humans utilize it. On one hand, this technology can enhance human quality of life, while on the other hand, it may challenge human existence and potentially lead to our destruction. The decisions made by humans regarding AI usage and the regulations set by governments and organizations in the future will be the most critical factor in determining the outcome of this question.