James Rhodes, Morningstar's chief technology officer, told Business Insider how the research firm is using AWS DeepRacer as a training tool.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine learning (ML) is the sci-fi sounding concept of computers teaching themselves. In ML, you supply some data representing the type of content that you want the machine learning model to process ...

For the first time, a project led by the University of Oxford has trained a machine learning model in outer space, on board a satellite. This achievement could revolutionise the capabilities of remote ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

ADELPHI, Md. (Jan. 16, 2020) -- Army researchers have developed a new approach for training machine learning models that can better withstand dirty and deceptive data. Models trained under this method ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Now in its guise as a Hitachi Group Company, Pentaho ...

Machine-learning models are like pancakes; the first one is usually crummy. In fact, if they fed on models, developers might drop a shirt size before they got one to the table. Speeding up iterations ...