MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

A brain cap and smart algorithms may one day help paralyzed patients turn thought into movement—no surgery required.

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

XRP price has slipped over the past twenty-four hours, but a machine learning algorithm sees the general monthly trend as stable.

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Abstract: Accurate rainfall nowcasting remains one the most challenging tasks in weather forecasting. Previous studies mainly developed rainfall forecast models by combining GNSS derived precipitable ...

Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...

A team of academics has used a simple machine learning algorithm to filter out so-called noisy trading in stock exchange data and say they have generated more-powerful versions of signals already ...