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

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.

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

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 ...

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 labeled data is fed to computer algorithms, teaching the algorithms what to look for. After ingesting millions of labeled images, the algorithms become expert at recognizing what they have ...

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

A computer program is an algorithm, written in a computer programming language, that a computer can understand and execute.

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.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

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.