Learning algorithms already make a lot of important decisions every day, from who gets credit to who gets interviewed for a job to who gets flagged as a potential terrorist. And they make mistakes.

Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.

Today, computer programs use machine-learning algorithms to study piles of data and learn about the world and its people. Algorithms can tell a banker whether someone will pay back a loan.

Researchers used fMRI technology to monitor the brain activity of volunteers as they interacted with "experts" -- some human, others computer algorithms -- to predict the behavior of a ...

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.

Core machine learning engineer: Computer science fundamentals and programming, applying machine learning algorithms and libraries, data modeling, and evaluation ...

To address these challenges, Donti has developed a demand forecasting model in use by the U.K.’s national grid operator, and an algorithm that estimates the grid’s voltage being piloted in some parts ...

Similar analogies exist in the area of autonomous vehicles. Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms ...