Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning ...

However, a key challenge associated with using neural networks as a model of human behavior is that they're not easily interpretable." To improve the interpretability of the machine learning model ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

An artificial neural network (ANN) is a type of machine learning model inspired by neurons in the brain. 1,2 The individual components of the ANN receive information in numerical form, process it, and ...

Many existing methods for exploring the link between neural ... network architecture and training approach." The researchers trained their RNN-based model using a four-step optimization algorithm.

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Machine learning generates 3D model from 2D pictures Date: September 19, 2022 Source: Washington University in St. Louis Summary: A neural field network can create a continuous 3D model from a ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), researchers presented twelve papers at the forty-second International Conference on Machine Learning (ICML), held July 13-19, 2025 in ...

Mark van der Wilk, an expert in machine learning at the University of Oxford, told AFP that an artificial neural network is a mathematical construct “loosely inspired” by the human brain.

Geneformer is a deep-neural-network model, pretrained on about 30 million gene-expression profiles, that can be fine-tuned for analysing smaller data sets.