The answer is through decision trees, which are clever algorithms designed to make standard airport processes like check-in, boarding and lounge access both streamlined and personalized.

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses. After ...

How AI Provides Decision-Making Insights ML algorithms form the backbone of AI's ability to transform data into actionable insights.

Decision Trees are a type of artificial intelligence (AI) that can be used to make decisions or predict outcomes based on data. Decision Trees involve a hierarchical structure of nodes, with each ...

A new AI model mimics human thinking with striking accuracy, even in unfamiliar scenarios. Researchers at Helmholtz Munich ...

Much of what is called "AI" today is actually machine learning—linear or logistic regression, decision trees or classifiers. These can weigh the relative value of millions of input variables.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The concept of explainability in AI, Sateli explains, is how a model reaches its final decision. We want models to be fully explainable, and we want the highest accuracy possible.

In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today.