Introduction Reinforcement Learning (RL) has seen explosive growth in recent years, powering breakthroughs in robotics, game playing, and autonomous control.…
Introduction Imagine a group of robots cleaning a warehouse, a swarm of drones surveying a disaster zone, or autonomous cars…
What is Structured Prediction? In traditional machine learning tasks like classification or regression a model predicts a single label or…
Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment.…
Imagine teaching a robot to navigate a maze or training an AI to master a video game without ever giving…
What is Deepfake? In an age where digital content shapes our daily lives, a new phenomenon is challenging our ability…
What is Multi-Task Learning? Multi-TaskMulti-task learning (MTL) is a machine learning approach in which a single model is trained to…
What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and…
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of…
What are Variational Autoencoders (VAEs)? Autoencoders are ingenious, unsupervised learning mechanisms capable of learning efficient data representations. However, traditional autoencoders…