From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

The evolving face of artificial intelligence - SQL Tutorial

From the course: Complete Guide to AI and Data Science for SQL Developers: From Beginner to Advanced

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The evolving face of artificial intelligence

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- In previous videos, you covered the basics of data science and its applications. Now get ready to explore how artificial intelligence has evolved over the years. You know, Trinidad and Tobago where I'm from, is known for one of the world's biggest celebrations, Carnival. Starting out as a simple celebration, Trinidad Carnival has become a global sensation, blending traditional customs with cutting edge innovation in costumes, music and technology. Much like Trinidad's Carnival transformation, AI has matured into a dominant presence on the global stage, blending traditional foundations with cutting edge innovations in algorithms, applications, and technology. You are about to take a walk through the evolution of AI from where it started to where it is today. In the 1950s, AI was in its infancy, like decorating the first Carnival costume. It aimed to create programs that could think, learn, and adapt. Some milestones include the first neural network, creating computer models that learn inspired by the human brain. Nearest neighbor, helping computers make decisions by finding data similarities. Bayesian neighbor, combining probability and data for accurate predictions. In the 1980s, machine learning became the star, like adding vibrant colors to a Carnival costume. Key developments include backpropagation, fine-tuning neural networks for expertise, recurrent neural networks, memory powered networks for task like natural language processing. And random forest, a powerful approach using a mix of methods like decision trees. In the 2010s, deep learning emerged like AI's Centerpiece Carnival Costume, sophisticated computer systems called neural networks transformed various fields. For example, convolutional neural networks, or CNN. Masters of image recognition that capture intricate details. Long short-term memory, experts in time series data analysis, and recurrent neural networks, or RNN. Perfect for understanding sequential information. Fast forward to the 2020s, you are now witnessing what we call the AI Renaissance. This era is marked by unprecedented advancements in AI and its transformative impact on society, much like the pinnacle of what Carnival is today. Some key advancements include autonomous vehicles, companies like Tesla and Waymo are pioneering self-driving cars where AI algorithms navigate roads, making driving safer and more efficient. Natural language processing. Google's BERT and OpenAI's ChatGPT are revolutionizing how machines understand and generate human language, powering chatbots, language translation, and content generation. AI ethics. The importance of ethical AI is at the forefront. Organizations are using AI to detect bias and ensure fairness in decision making, which makes AI more responsible and accountable. All right, you just traveled through the AI evolution timeline and I hope you were pumping some Soca music along the way. In the next video, you'll explore the types of problems AI, machine learning, and deep learning solve. See you there.

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