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

Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...

In APL Bioengineering, researchers use a machine learning algorithm to explore whether electroencephalography could be useful ...

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 ...

There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

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 ...