Artificial neural networks (ANNs) are massively parallel systems with large numbers of interconnected simple processors. This paper describes a computational model to support decision-making using a combination of data mining (DM) and artificial neural network (ANN). With the enormous amount of data ...
An Artificial Neural Network (ANN) is defined as a computational model that imitates the functioning of biological neurons. It consists of input, hidden, and output layers, processing molecular information to produce biological activity or properties as output. ...
The goal was always to sequentially train the neural network on all tasks or episodes of the task protocol, whereby the network only had access to the data of the current task/episode. For all methods considered in this paper, during training the parameters θ of the neural network were upda...
at least since Moor (2009) proposed a way of discerning four different ‘types’. Indeed, the question of imbuing artificial agents with ethical values was the topic of a special issue of Proceedings of the IEEE (Winfield et al.,2019). Both this and Cervantes et al’s survey (Cervantes ...
To address this question, we used such benchmarks to evaluate the visual and auditory models described above in Figs.2–5. For the visual models, we used the Brain-Score platform to measure the similarity of model representations to neural benchmarks for visual areas V1, V2 and V4 and th...
Following the conventions of Keras, a question mark refers to an existing dimension of unknown size which here denotes the batch size and Lambda layers refer to user defined functions inside the network architecture. Here, the input is given by the deformation gradient F. The precise number of ...
Alan Turing publishesComputing Machinery and Intelligence. In this paper, Turing—famous for breaking the German ENIGMA code during WWII and often referred to as the "father of computer science"—asks the following question: "Can machines think?" ...
Alan Turing publishesComputing Machinery and Intelligence(PDF). In this paper, Turing—famous for breaking the German ENIGMA code during WWII and often referred to as the "father of computer science"—asks the following question: "Can machines think?" ...
The artificial neural network, deep neural network, support vector machines, classification and regression, generative adversarial networks, symbolic learning, and meta-learning are examples of the algorithms applied to the drug design and discovery process. Artificial intelligence has been applied to ...
You thoughtfully answer each question, adding your personal insights. Jan 10, 2025 0 1 Computer Sciences Group activity recognition: A dataset with detailed annotation and rich semantics Group activity recognition (GAR), which aims to identify activities performed collectively in videos, has ...