In 1956, John McCarthy introduced the term “Artificial Intelligence” at a conference. He defined it as the science of making smart machines. Simply put, AI teaches machines to act like humans. Today, AI is used in healthcare, robotics, marketing, apps, and more.
AI, Machine Learning, and Deep Learning: What’s the Difference?
Many think these are the same, but they’re not:
- AI: Machines that behave like humans.
- Machine Learning (ML): A part of AI where machines learn from data.
- Deep Learning (DL): A part of ML that uses neural networks to solve complex problems.
AI also includes things like Natural Language Processing (NLP), robotics, and computer vision.
Three Levels of AI
- Artificial Narrow Intelligence (ANI):
- Good at specific tasks.
- Examples: Alexa, Tesla Autopilot, iPhone Face ID, Google Maps.
- Artificial General Intelligence (AGI):
- Can think like a human and do any intellectual task.
- Still in the experimental stage. Stephen Hawking warned it might surpass humans.
- Artificial Super Intelligence (ASI):
- Machines smarter than humans.
- Currently fictional, but some experts think it could exist by 2040.
How AI is Used in Real Life
- Finance: JP Morgan’s AI analyzes thousands of legal contracts in seconds.
- Healthcare: IBM Watson reviews millions of cancer records to diagnose diseases.
- Eye Care: Google’s AI detects diabetic retinopathy.
- Social Media: Facebook recognizes faces, Twitter spots hate speech, and AI blocks 95% of terrorist accounts.
- Google Search: AI suggests search terms as you type.
- Virtual Assistants: Siri, Alexa, and Google Duplex act human-like, powered by AI.
- Self-Driving Cars: Tesla’s AI lets cars drive without a driver.
Conclusion: What’s Next?
AI is now a big part of our daily lives. But could it control us one day? Experts say this might be possible in the next 30 years. For now, we need to understand, control, and use AI wisely.