Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Quantum hardware is starting to hit a wall that has little to do with flashy new qubit designs and everything to do with how ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

For decades, biologists treated a familiar marine invertebrate as a kind of living afterthought, a translucent tube that seemed to float through life with almost no nervous hardware. New work has ...

Futuristic diagram showing how computer neural network works including internal hidden calculations, data propagation and final decision making. Shown neurons, summarizing and activation processes.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) ...

Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...