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Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper " Attention Is All You Need ". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1] At each layer, each token is then contextualized within the scope of ...
Vector graphics are a form of computer graphics in which visual images are created directly from geometric shapes defined on a Cartesian plane, such as points, lines, curves and polygons. The associated mechanisms may include vector display and printing hardware, vector data models and file formats, as well as the software based on these data ...
Automatic vectorization. Automatic vectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation, which processes a single pair of operands at a time, to a vector implementation, which processes one operation on multiple pairs of operands at once.
Vector space model or term vector model is an algebraic model for representing text documents (or more generally, items) as vectors such that the distance between vectors represents the relevance between the documents. It is used in information filtering, information retrieval, indexing and relevancy rankings.
BOSTON (AP) — Big record companies are suing artificial intelligence song-generators Suno and Udio for copyright infringement, alleging that the AI music startups are exploiting the recorded ...
The following tables contain general and technical information about publicly available raster-to-vector conversion software.
Sanofi CEO Paul Hudson thinks AI offers 'insane' potential for the pharmaceutical industry, which can spend up to $4 billion developing a drug.