MLX: The ML Framework That Made Apple Silicon Competitive

by Kushal Banda — The last decade belonged to NVIDIA. GPUs with separate memory pools became the default substrate for training and deploying deep learning…

Bootcamp·1h ago

What Building PlantPulse Taught Me About Real-World Machine Learning

by Adeelkamal — Six things I had to unlearn from tutorials before I could ship something that actually works.

Medium·2h ago

Taylor Launches New Bachelor's Degree in AI & Machine Learning

Taylor University·3h ago

Activation Functions in Deep Learning: The Complete Guide

by Chintapalli Bhargav Praveen — Why neural networks need them, and how to choose between sigmoid, tanh, ReLU, and softmax

Medium·5h ago

Python for Data Science — Mean, Median, Mode, and When They Mislead

by Sudha Rani Maddala — Data science is often associated with machine learning, coding, and visualization.

Medium·8h ago

Machine Learning Roadmap for Beginners in 2026

by Ceylinzoi — A practical machine learning roadmap for beginners in 2026. Learn Python, math, ML algorithms, projects, deep learning, and career skills…

Medium·10h ago

Building StudyBuddy AI: A Persistent Memory Agent for Personalized Learning with Qwen3

by Rajasaranya — This article documents my journey of building StudyBuddy AI for the Global AI Hackathon Series with Qwen Cloud under the MemoryAgent track…

Medium·2h ago

How GPT Is Built on Transformers: The Architecture Behind ChatGPT — Part 23

by Sumanth Poola — After learning about Transformers, Self-Attention, Positional Encoding, and the difference between Encoders and Decoders, I finally had…

Medium·3h ago

Why Every Serious AI Application Uses RAG Instead of Fine-Tuning

by Hiren Patel — When I first started learning about AI, I assumed fine-tuning was the ultimate solution for making Large Language Models (LLMs) smarter.

Medium·4h ago

How AI Is Changing the Way Software Gets Built (And Why Developers Are Paying Attention)

by Gourav Sharma — Not long ago, the idea of a machine writing production code felt like science fiction. Today, it’s Tuesday afternoon at most software…

Everyday AI·6h ago

Regression Models for Returns Prediction

by E Kartik — Part 4 of the Series: Machine Learning for Systematic Traders

Medium·8h ago

Machine learning points scientists to new superconductors- and possibly thousands more

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more energy-saving materials.

Nanowerk·10h ago

9 Machine Learning Algorithms Every Data Scientist Should Know: A Deep Dive with Real-World…

by Bharath Yelchuri — A comprehensive guide to tree-based and ensemble methods that power modern data science

Medium·2h ago

The Enchanted Eye: A Journey into Artificial Perception

by HILAL AHMAD KHAN — Imagine, for a moment, a machine that could see not just a collection of pixels, but a sunrise. Not just a pattern of sound waves, but the…

Medium·3h ago

Feature Scaling in R: A Comprehensive Guide for Machine Learning Practitioners

by Shakiru Bankole — Feature scaling is a critical preprocessing step in machine learning, though often overlooked by beginners. Real-world datasets typically…

Medium·4h ago

Nested Learning: a IA mais parecida com o cérebro humano

by Mobi2buy — Conheça o Nested Learning, a técnica que adiciona ao Deep Learning a neuroplasticidade humana e promete resolver o esquecimento da IA.

Medium·7h ago

You’re Not Learning AI — You’re Learning to Talk to a Vending Machine

by Sai Insights — The uncomfortable gap between using AI and actually understanding it (and why it matters more than ever in 2026)

Artificial Intelligence in Plain English·9h ago

Why Every Student Needs Their Own AI Learning Companion

by Weleintellitech — A simple guide to personalized AI learning, backed by real research, not hype

Medium·11h ago