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Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.
A new study utilizes compact neural networks to uncover the underlying mechanisms behind human decision-making. Scientists have long studied how people and animals make decisions, often looking at how ...
Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...
By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
The starting point of a FlexOlmo project is a so-called anchor AI model. Every organization that participates in the project ...
Discover how Google DeepMind is using video games and generative AI to train advanced artificial intelligence for real-world applications.
When the top spotty fish in a tank disappears, the runner-up turns aggressive within minutes, rushing and nipping rivals ...
For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...
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IEEE Spectrum on MSNNew Machine Vision Is More Energy Efficient—and More HumanAI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...
This paper deals with the Convolutional Neural Network for identifying the category of the image. Convolution and pooling operations are explained for classifying the image. Trained dataset ...
A deep convolutional neural network is used to extract high-order morphological features from binary images to distinguish textured microstructures from untextured microstructures. The convolutional ...
Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...
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