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A heterozygous deletion in GRID2 in humans causes a complicated spastic paraplegia with ataxia, frontotemporal dementia, and lower motor neuron involvement [16] whereas a homozygous biallelic deletion leads to a syndrome of cerebellar ataxia with marked developmental delay, pyramidal tract involvement [17] and tonic upgaze, [18] that can be classified as an ataxia with oculomotor apraxia (AOA ...
Wearing mail armor, Evokers have three specializations available to them: the ranged damage-focused Devastation, support-leaning Augmentation and the healing-orientated Preservation. [6] The Dracthyr can choose to align with either the Alliance or the Horde, similar to the Pandaren introduced in Mists of Pandaria .
Don Andrews, Bill English, and Doug Engelbart at SRI's Augmentation Research Center during a meeting with sponsors of the program. SRI International's Augmentation Research Center (ARC) was founded in the 1960s by electrical engineer Douglas Engelbart to develop and experiment with new tools and techniques for collaboration and information processing.
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
The Integrated Visual Augmentation System (IVAS) is an augmented reality headset being developed by Microsoft for the United States Army.It is intended to improve situational awareness by overlaying sensor imagery and other information on the soldier's field of view.
In May 2013 there was a single £125,000 special edition release of the game by Codemasters which included a BAC Mono supercar featuring a Grid themed paint job and a tour of the BAC factory.
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. [1] [2] Data augmentation has important applications in Bayesian analysis, [3] and the technique is widely used in machine learning to reduce overfitting when training machine learning models, [4] achieved by training models on several slightly-modified copies of existing data.
Microelectrode arrays (MEAs) (also referred to as multielectrode arrays [1] [2]) are devices that contain multiple (tens to thousands) microelectrodes through which neural signals are obtained or delivered, essentially serving as neural interfaces that connect neurons to electronic circuitry.