At the India AI Impact Summit 2026, DeepMind CEO Demis Hassabis said AI is entering in a golden age of science and AGI can come sooner.

When we use differentiation to meet students at their level and celebrate their progress, we help them discover their love for learning.

Negative reinforcement has a bad reputation. Here’s what it really means, and why it can be surprisingly helpful.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Hinduism and Judaism have endured in diaspora less as belief systems than as lived traditions. Daily practice, ritual ...

It’s about understanding how learning actually works,especially in animals whose behaviour is driven by emotion, not logic.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...