Abstract: Embodiments of the present disclosure provide systems and methods for enhancing search using semantic search results. A semantic search engine performs a semantic search to identify documents semantically related to a search query. A search query to perform a second type of search is received. The second type of search is scoped to content identified in the previous semantic search.

Abstract: A computer-implemented method for searching electronic documents is provided. The method executing a non-semantic search, such as lexical search, to identify documents from a document corpus that meet the search criteria of the non-semantic search. A subsequent semantic search can be scoped based on the results of the non-semantic search. The method can thus include executing a semantic search scoped to the documents identified in the non-semantic search result to generate a semantic search result that identifies content that is semantically relevant to a natural language query. Thus, the semantically relevant content can have both non-semantic (e.g., lexical) and semantic relevance.

Abstract: Exemplary systems and methods for allocating capital to trading strategies may include a means for generating a virtual machine for a trading strategy in a historical server, a means for obtaining historical performance data for the trading strategy from the historical server, a means for transforming the historical performance data into metrical data, a means for transforming the historical performance data and metrical data into a neural network usable data set, a means for creating a neural network base, and a means for forming a neural network.

Abstract: Exemplary systems and methods for allocating capital to trading strategies may include a means for generating a virtual machine for a trading strategy in a historical server, a means for obtaining historical performance data for the trading strategy from the historical server, a means for transforming the historical performance data into metrical data, a means for transforming the historical performance data and metrical data into a neural network usable data set, a means for creating a neural network base, and a means for forming a neural network.

Abstract: Exemplary systems and methods for allocating capital to trading strategies may include a means for generating a virtual machine for a trading strategy in a historical server, a means for obtaining historical performance data for the trading strategy from the historical server, a means for transforming the historical performance data into metrical data, a means for transforming the historical performance data and metrical data into a neural network usable data set, a means for creating a neural network base, and a means for forming a neural network.

Abstract: Exemplary systems and methods for allocating capital to trading strategies may include a means for generating a virtual machine for a trading strategy in a historical server, a means for obtaining historical performance data for the trading strategy from the historical server, a means for transforming the historical performance data into metrical data, a means for transforming the historical performance data and metrical data into a neural network usable data set, a means for creating a neural network base, and a means for forming a neural network.

Abstract: A three-phase transformer configured to transform a three-phase voltage. The transformer includes first, second, and third toroidal transformers. The first toroidal transformer is configured to transform a first phase of the three-phase voltage. The second toroidal transformer is electrically connected to the first toroidal transformer. The second toroidal transformer is configured to transform a second phase of the three-phase voltage. The third toroidal transformer is electrically connected to the first toroidal transformer and the second toroidal transformer. The third toroidal transformer is configured to transform a third phase of the three-phase voltage.

Abstract: Exemplary systems and methods for allocating capital to trading strategies may include a means for generating a virtual machine for a trading strategy in a historical server, a means for obtaining historical performance data for the trading strategy from the historical server, a means for transforming the historical performance data into metrical data, a means for transforming the historical performance data and metrical data into a neural network usable data set, a means for creating a neural network base, and a means for forming a neural network.

Abstract: A system and method for detecting a camera. In one embodiment, although not limited thereto, an illuminator illuminates an area of interest. A camera then takes multiple pictures of the illuminated area and an algorithm is then used to compare the pictures and locate and pirate cameras based on the reflection characteristics.

Abstract: A system and method for detecting a camera. In one embodiment, although not limited thereto, an illuminator illuminates an area of interest. A camera then takes multiple pictures of the illuminated area and an algorithm is then used to compare the pictures and locate and pirate cameras based on the reflection characteristics.