A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring nitrogen accumulation in wheat crops.

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Investment Week provides the latest investment news, analysis and opinion for wealth managers and the UK funds industry ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...