What is the Meaning of AI? Why is it Called ‘Artificial Intelligence’?
Why it matters: What is the meaning of AI? Why is it called ‘Artificial Intelligence’? Learn the definition, the 1956 Dartmouth origin, and how modern AI applies.
Category: AI
How AI Is Improving Disaster Response and Risk Management in 2026
Why it matters: How AI improves disaster response and risk management in 2026: flood forecasting, damage assessment, and evacuation modeling that save lives.
How do Robo Investors Work?
Why it matters: Robo investors are digital platforms that supply automated, algorithm-driven financial planning services with very little human interference.
Rectified Linear Unit (ReLU): Introduction and Uses in Machine Learning
Why it matters: The rectified linear activation function or ReLU for short is a piecewise linear function that will output the input directly if it is positive, otherwise, it will output zero.
Introduction to Generative Adversarial Networks (GANs)
Why it matters: The attention that has been given to GANs has resulted in an explosion of new ideas, techniques, and applications that are being developed. For a better understanding of GANs, we need to understand the mathematical foundation of them.
An Overview of the Ladybird Farming Robot
Why it matters: Ladybird farming robot is unique as it is designed to operate at night, when most other agricultural robots are not in use.
Introduction to Long Short Term Memory (LSTM)
Why it matters: In the field of artificial intelligence (AI) and deep learning, LSTMs are long short-term memory networks that use artificial neural networks.
Introduction to XGBoost and its Uses in Machine Learning
Why it matters: A decision tree based ensemble Machine Learning algorithm, XGBoost uses a gradient boosting framework in order to accomplish ensemble Machine Learning.
Why AI is the Next High Paying Skill to Learn
Why it matters: AI is the next high paying skill as learning AI skills will help contribute towards the positive impact of AI in the future of work.
How Can We Make Chatbots Intelligent?
Why it matters: How Can We Make Chatbots Intelligent? Four essential features make the chatbots intelligent and these features are contextual understanding, perpetual learning, seamless agent handover, and voice technology.