reinforcement learning

The Surprising Power of Reinforcement Learning (and Why It’s Everywhere)

John Stuart Mill in the 19th century, B.F. Skinner in the 20th, and Q-learning today all hinge on a simple, almost universal truth: What gets rewarded gets repeated. Whether it’s shaping behavior in people or machines, the logic remains the same—define the reward, and you define the outcome. This simple statement lies at the root…

supervised learning, a teacher reading to a computer

Supervised Learning: How AI Learns to Make Smart Decisions

Imagine you’re scrolling through your email and notice that most of the junk mail—those too-good-to-be-true lottery winnings and suspicious “urgent” messages—never even reach your inbox. You don’t think twice about it, but behind the scenes, something powerful is at work: supervised learning.Your email provider has been trained on countless examples of real emails versus spam,…

a person looking into a crystal ball filled with data predicting future events

The Science of Predictions: A Simple Guide to Predictive Analytics

Do you use predictive analytics? (Hint: yes, you almost certainly do.) Predictive analytics are the force behind streaming recommendations in your movie and music apps, weather forecasts, and personalized shopping recommendations. Predictive analytics is a way to use information about the past and present to guess what might happen in the future. It looks at…

a set of scales with icons representing different ethical considerations in each pan

The Growing Impact of Artificial Intelligence: Emerging AI Applications and Ethical Considerations, Part 3 (conclusion)

In our rapidly advancing world, AI is transforming industries and reshaping our daily lives. However, this technological evolution brings forth significant ethical considerations. From bias and fairness to data privacy, environmental impact, and workforce adaptation, it’s crucial to address these issues to ensure a responsible and equitable AI future.