Researchers have developed an AI algorithm which can solve a Rubik's Cube in a fraction of a second, according to a study published in the journal Nature Machine Intelligence.. The system, known ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine learning allows a computer to teach itself how to solve problems by analyzing large sets of data. Human programmers don't teach machine learning systems how to solve problems, nor do they ...

Academics from UK and China have developed a new machine learning algorithm that can break text-based CAPTCHA systems with less effort, faster, and with higher accuracy than all previous methods ...

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

In machine learning, a form of AI, computer programs improve through experience, accessing data and using it to learn for themselves. Algorithms with richer data will become more effective in nature.

Machine learning intersects with statistics, computer science and artificial intelligence, focusing on the development of fast and efficient algorithms to enable real-time data processing.

A barren plateau is a trainability problem that occurs in machine learning optimization algorithms when the problem-solving space turns flat as the algorithm is run. In that situation, the ...

Because deep learning is the most general way to model a problem, it has the potential to solve difficult problems—such as computer vision and natural language processing—that outstrip both ...

Modern ML algorithms go beyond computer programming, as they require an understanding of the various possibilities available when solving a problem. Machine learning algorithms can be regarded as ...