In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

This new technology could significantly improve recycling outcomes. Researchers make groundbreaking discovery that could ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...