Neural Engineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. As the neural network software Nengo...
7 KB (747 words) - 06:34, 25 July 2023
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...
162 KB (17,167 words) - 20:13, 22 December 2024
A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional...
21 KB (2,610 words) - 07:29, 11 December 2024
Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that...
34 KB (4,421 words) - 07:28, 19 December 2024
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by biological neural circuitry...
84 KB (8,598 words) - 05:49, 20 November 2024
Neighbor joining Nest Labs NetMiner NetOwl Neural Designer Neural Engineering Object Neural modeling fields Neural network software NeuroSolutions Neuroevolution...
39 KB (3,388 words) - 18:18, 8 December 2024
A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization...
138 KB (15,471 words) - 09:57, 18 December 2024
Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...
90 KB (10,611 words) - 11:58, 2 November 2024
recognition, object recognition in images, image captioning, language translation and world championship performance in the game of Go, based on neural architectures...
13 KB (1,235 words) - 17:26, 13 December 2024
Neuromorphic computing (redirect from Neuromorphic engineering)
(2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 1–15. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001...
43 KB (4,758 words) - 11:31, 14 December 2024
A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...
21 KB (2,199 words) - 03:00, 17 October 2024
Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine...
26 KB (2,980 words) - 15:27, 18 November 2024
Deep learning (redirect from Deep neural network)
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation...
181 KB (17,917 words) - 11:40, 17 December 2024
Jeff Dean (category University of Washington College of Engineering alumni)
optimization techniques for object-oriented programming languages. He was elected to the National Academy of Engineering in 2009, which recognized his...
15 KB (1,404 words) - 23:09, 12 December 2024
Nikola Kasabov (section Spiking neural networks)
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering and Evolving Connectionist Systems: The Knowledge Engineering Approach. He is...
23 KB (2,342 words) - 16:41, 10 October 2024
the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. The model (e.g. a naive Bayes classifier) is trained...
20 KB (2,212 words) - 19:14, 6 December 2024
work in face and object recognition and his contributions to quantum machine learning. He is currently Vice President of Engineering at Google where he...
20 KB (1,411 words) - 03:55, 23 December 2024
applications of feature engineering has been clustering of feature-objects or sample-objects in a dataset. Especially, feature engineering based on matrix decomposition...
20 KB (2,169 words) - 17:08, 21 December 2024
PyTorch (section PyTorch neural networks)
of object in linear algebra. Tensors in PyTorch are simply multi-dimensional arrays. PyTorch defines a module called nn (torch.nn) to describe neural networks...
13 KB (1,214 words) - 05:58, 28 November 2024
Transformer (deep learning architecture) (redirect from Transformer (neural network))
recurrent units, therefore requiring less training time than earlier recurrent neural architectures (RNNs) such as long short-term memory (LSTM). Later variations...
100 KB (12,428 words) - 14:36, 20 December 2024
Brain–computer interface (redirect from Neural interface)
(neurotechnology company) Lie detection Microwave auditory effect Neural engineering Neuralink Neurorobotics Neurostimulation Nootropic Paradromics Precision...
145 KB (16,835 words) - 13:45, 17 November 2024
AlexNet (category Neural network architectures)
convince you that neural networks are the future?", and Jitendra Malik, a sceptic of neural networks, recommended the PASCAL Visual Object Classes challenge...
15 KB (1,529 words) - 14:15, 12 December 2024
Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the...
62 KB (8,100 words) - 04:12, 27 November 2024
vector machines, mixtures of Gaussians, and neural networks. However, research[which?] has shown that object categories and their locations in images can...
21 KB (2,247 words) - 09:12, 13 November 2024
Long short-term memory (category Neural network architectures)
Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional...
52 KB (5,782 words) - 10:38, 12 December 2024
constructs. Neural engineering can assist with numerous things, including the future development of prosthetics. For example, cognitive neural prosthetics...
61 KB (6,346 words) - 18:38, 18 December 2024
Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model...
56 KB (6,176 words) - 15:04, 19 December 2024
Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos...
21 KB (2,157 words) - 05:17, 15 September 2024
many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used...
87 KB (10,383 words) - 00:35, 10 October 2024
Center for Neurotechnology (redirect from Center for Sensorimotor Neural Engineering)
spinal cord.The center researchers specialize in fields related to neural engineering.Center faculty also hail from various fields of medicine to help assist...
13 KB (1,279 words) - 01:27, 4 October 2024