Author name: Isabella Agdestein

Artificial Intelligence (AI) is revolutionizing how decisions are made by processing vast amounts of data with speed and precision. From

Artificial Intelligence (AI) supercharges the Internet of Things (IoT) by turning connected devices into smart, autonomous systems. From optimizing smart

AI for fresh data enables real-time training and adaptation, keeping models current with techniques like online learning and federated learning.

AI is revolutionizing software development by writing code, suggesting fixes, and automating tasks with tools like GitHub Copilot and ChatGPT.

AI for optimization uses techniques like genetic algorithms and gradient descent to boost efficiency in systems, from resource allocation to

AI often inherits bias from human data, making true neutrality a challenge, but techniques like bias auditing, diverse datasets, and

AI with human oversight combines machine autonomy with human judgment to ensure accuracy, safety, and ethics. Striking the right balance

Using real-world data in AI is tricky due to issues like noise, bias, and missing values, but solutions like data

Unsupervised learning lets AI uncover hidden patterns in data without human oversight, powering breakthroughs in clustering, anomaly detection, and more.