Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.
New England's a complicated place, especially when it comes to flooding.
A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by measuring anomalous Hall resistivity 30 times faster than conventional methods. By analyzing the ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
Earthquake forecasting tools powered by AI can forecast the risk of aftershocks seconds after the initial tremor, a new study suggests. The machine learning models can forecast where, and how many, aftershocks will take place ...
The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain West often suffer from a ...
Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive amounts of data while ...
Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic activity. When the sun is active, fewer of these particles reach Earth; when the sun is quiet, more are ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As these factors often occur ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and future planetary missions. ...
