Abstract: NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.

Abstract: Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.

Abstract: Methods and systems for obfuscating computer program code are disclosed. In an embodiment, a method of generating obfuscated binary code from input source code for execution on a target processor comprises: generating a set of random obfuscation transform selections; and iteratively optimizing the obfuscation transform selections until a termination criterion is met. The obfuscation transformation selections may comprise indications of custom instructions which are executable on the co-processor in order to reduce side channel leakage.

Abstract: A fiber cement material formulation comprising a cementitious binder, a siliceous material, fiber, alumina trihydrate and a bifunctional low density additive wherein the bifunctional low density additive comprises any one or more of diatomaceous earth, recycled autoclave fiber cement dust or cellulose dust. The fiber cement material formulation optionally further comprises a secondary low density additive which may be perlite. In some embodiments, a fiber cement article manufactured from the fiber cement material formulation comprises a density of approximately 1.1 g/cm3 or below.

Abstract: NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.

Abstract: Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.

Abstract: NLG techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also compute a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms. For new sentence data that refers to an entity term from the entity term list, a processor can select a referring term for referencing that entity term from a list of candidate referring terms based on the context saliency scores for the entity terms. A processor can then form the new sentence data such that the new sentence data includes the selected referring term to refer to the at least one entity term.

Abstract: Context Saliency-Based Deictic Parser for Natural Language Processing NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.

Abstract: A fiber cement material formulation comprising a cementitious binder, a siliceous material, fiber, alumina trihydrate and a bifunctional low density additive wherein the bifunctional low density additive comprises any one or more of diatomaceous earth, recycled autoclave fiber cement dust or cellulose dust. The fiber cement material formulation optionally further comprises a secondary low density additive which may be perlite. In some embodiments, a fiber cement article manufactured from the fiber cement material formulation comprises a density of approximately 1.1 g/cm3 or below.

Abstract: Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.

Abstract: Adjustable stand. An adjustable stand for holding an object may include a base having a front lip having an inside face and a holding site for an object adjacent the inside face, as well as an adjustment mechanism configured to be positioned relative to the base, the adjustment mechanism capable of residing at multiple positions upon the base, each position of the multiple positions configured to hold the object at a different angle relative to the base.

Abstract: Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines using “analyze” communication goals in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired analysis communication goal such that the narratives will express various ideas that are deemed relevant to a given analysis communication goal.

Abstract: Methods and systems for obfuscating computer program code are disclosed. In an embodiment, a method of generating obfuscated binary code from input source code for execution on a target processor comprises: generating a set of random obfuscation transform selections; and iteratively optimizing the obfuscation transform selections until a termination criterion is met. The obfuscation transformation selections may comprise indications of custom instructions which are executable on the co-processor in order to reduce side channel leakage.

Abstract: Disclosed herein are synthetic microparticles substantially free of monovalent and divalent metal elements and a method of forming such synthetic microparticles. The synthetic microparticle may be suitable for use as a density modifying filler. The synthetic microsphere can be made from an agglomerate precursor that includes an aluminosilicate material, such as fly ash, a blowing agent such as sugar, carbon black, and silicon carbide, and a binding agent. The synthetic microsphere is produced when the precursor is fired at a pre-determined temperature profile so as to form either solid or hollow synthetic microspheres depending on the processing conditions and/or components used. The synthetic microparticle is capable of being formed into a large range of predetermined shapes.

Abstract: Disclosed herein are synthetic microparticles substantially free of monovalent and divalent metal elements and a method of forming such synthetic microparticles. The synthetic microparticle may be suitable for use as a density modifying filler. The synthetic microsphere can be made from an agglomerate precursor that includes an aluminosilicate material, such as fly ash, a blowing agent such as sugar, carbon black, and silicon carbide, and a binding agent. The synthetic microsphere is produced when the precursor is fired at a pre-determined temperature profile so as to form either solid or hollow synthetic microspheres depending on the processing conditions and/or components used. The synthetic microparticle is capable of being formed into a large range of predetermined shapes.

Abstract: A low density material and a method for preparing a low-density material and precursor for forming a low-density material are provided. An aqueous mixture of inorganic primary component and a blowing agent is formed, the mixture is dried and optionally ground to form an expandable precursor. Such a precursor is then fired with activation of the blowing agent being controlled such that it is activated within a predetermined optimal temperature range. The firing conditions are also controlled to provide a low density sphere containing a heterogeneous sphere wall structure comprising a combination of amorphous glass and a crystalline phase or gas phase or both.

Abstract: Shaped geopolymeric particles, fibers, and articles incorporating at least one geopolymer are provided; the geopolymeric particles, fibers, and articles having a structure that is solid, foamed, hollow or with one or more voids. Geopolymers are formed by alkali activation of an aluminosilicate and/or aluminophosphate material. The end-products are shaped as spheres, flakes, fibers, aggregates thereof or articles. Such products are formed at low temperatures; wherein forming includes processing using techniques such as spray drying, melt spinning, or blowing. The shaped geopolymeric particles and fibers have high chemical durability, high mechanical strength, application-targeted flowability and packing properties, and are specially suited for incorporating into composite materials, articles, and for use in cementitious, polymeric, paint, printing, adhesion and coating applications.

Abstract: Precursor materials and methods of making are disclosed. The precursor materials include at least one of a silica source, and a carbon source, with or without liquid and a binder The methods described include pyrolyzing the precursor material to form a carbonaceous mixture and heat treating the mixture for a pre-determined time and at an elevated temperature during which carbon and/or nitrogen react with silica in the mixture to form carbides and/or nitrides. The carbides and nitrides formed from said methods may be used as blowing agents in a glass, ceramic, or metal forming processes or for promoting dispersion of the carbides and nitrides throughout a glass, ceramic, or metal composite.

Abstract: A synthetic microsphere having a low alkali metal oxide content and methods of forming the microsphere and its components are provided. The synthetic microsphere is substantially chemically inert and thus a suitable replacement for natural cenospheres, particularly in caustic environments such as cementitious mixtures. The synthetic microsphere can be made from an agglomerate precursor that includes an aluminosilicate material, such as fly ash, a blowing agent such as sugar, carbon black, and silicon carbide, and a binding agent. The synthetic microsphere is produced when the precursor is fired at a pre-determined temperature profile so as to form either solid or hollow synthetic microspheres depending on the processing conditions and/or components used.