Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have multiplied and its underlying mechanisms have become more sophisticated. Le Monde ...

This paper shows the experimentation for the classification of vehicle images by artificial vision creating a deep neural network model using Keras and Tensorflow libraries with Python language, a ...

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 ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

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.

This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often ...