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Basics Theory
Alison Perry · Sep 26, 2025
The intersection of biological complexity and AI, uncovering how LLMs and cognitive science inspire advancements in technology and research.
Basics Theory
Alison Perry · Sep 23, 2025
How gradient descent improves model accuracy by minimizing prediction errors in machine learning. Understand its types, role in optimization, and real-world use
Basics Theory
Tessa Rodriguez · Sep 23, 2025
What a neural network is, how it works, and the different types of neural networks shaping artificial intelligence today. Learn about feedforward, CNN, RNN, LSTM, GAN, and more
Basics Theory
Alison Perry · Sep 23, 2025
What the metaverse really is, how it works, and why it’s changing how we interact online. Learn how virtual worlds, VR, and blockchain are building the future of the metaverse
Basics Theory
Alison Perry · Sep 22, 2025
What digital manufacturing is and how it connects design, data, and production. Learn how smart tools, automation, and connected systems make manufacturing faster, more sustainable, and more efficient
Basics Theory
Tessa Rodriguez · Sep 16, 2025
What semi-supervised learning is, how it works, and why it’s becoming essential in modern machine learning. Learn how this approach combines labeled and unlabeled data to create smarter, more accurate models
Basics Theory
Alison Perry · Sep 4, 2025
Learn prototyping gradient descent in machine learning with fast and efficient methods to optimize algorithms and produce smarter models.