More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

Without accurate data on water availability, BRIN estimates that the development project in IKN may be hindered by a ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

After returning to his research group at the Vrije Universiteit in Brussels, Muheki began to extract data from the more than ...

A new machine learning tool can reduce errors in national flood prediction programing, resulting in more accurate predictions of where floods will occur.  In a new study published in AGU Advances, ...

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...

As climate change intensifies the frequency and severity of tornadoes, meteorologists are turning to artificial intelligence ...

Those who predict that superintelligence will destroy humanity serve the same interests as those who believe that it will ...

Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds up to four days in advance, significantly more accurately than current ...

Recursive AI will test the human ability to adapt. In the world of generative artificial intelligence, things are moving fast, and they could start moving a lot faster. Assuming that current data and ...

(NASDAQ: COHU), a global supplier of equipment and services optimizing semiconductor manufacturing yield and productivity, today announced additional orders for its Neon platform from a leading ...