AI is not just Gen AI.
The Landscape of AI and its Use Cases.
𝗜 𝘀𝗲𝗲 𝘁𝗵𝗶𝘀 𝗺𝗶𝘀𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗲𝘃𝗲𝗿𝘆 𝘀𝗶𝗻𝗴𝗹𝗲 𝗱𝗮𝘆. 🤔 Generative AI is often confused with Traditional AI, but in reality, Gen AI is a subset of AI.
While Gen AI has made significant strides recently, it is not a replacement for Traditional AI. When referring to 'AI', we shouldn't just mean Gen AI.
This inspired me to create a graph that breaks down the landscape of AI along with their Use Cases.
📚 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 (1950s-Present) 📚
- 𝗩𝗶𝘀𝗶𝗼𝗻: Computer vision tasks like image recognition, object detection, facial recognition.
- 𝗦𝗽𝗲𝗲𝗰𝗵: Speech recognition, speech-to-text conversion, voice assistants.
- 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣): Language translation, sentiment analysis, chatbots.
- 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: Industrial robots for manufacturing, autonomous vehicles.
- 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Predictive analytics, data mining, pattern recognition.
🎨 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 (Late 2010s-Present) 🎨
- 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻: Generating images, videos, music, and text.
- 𝗗𝗲𝗲𝗽𝗳𝗮𝗸𝗲𝘀: Creating realistic but synthetic media.
- 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗠𝗲𝗱𝗶𝗮: Customizing content for individual preferences in marketing and entertainment.
- 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗔𝗿𝘁: Assisting in graphic design, architecture, and art creation.
- 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Creating dynamic and responsive game environments.
🔮𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗚𝗜) (2030s?) 🔮
- 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴: Tackling complex, multi-faceted problems across various domains.
- 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Accelerating scientific research, hypothesis generation, and experimentation.
- 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀: Advanced virtual assistants capable of understanding and performing a wide range of tasks.
- 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Diagnosing and treating complex medical conditions, personalized medicine.
- 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Addressing large-scale issues like climate change, economic modeling, and resource management.
🌌 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗦𝘂𝗽𝗲𝗿 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗦𝗜) (2040s?) 🌌
- 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: ASI could potentially provide solutions to some of the world's most pressing problems.
- 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝘀: In fields like physics, biology, and chemistry.
- 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Developing new treatments with superior analytical abilities.
- 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗽𝗮𝗰𝗲 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Designing interstellar missions, managing space colonies.
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