A New Method of Predictive Querying Tailored for Artificial Intelligence August 02, 2023 - Baystreet.ca Probabilistic querying is an approach to database queries that seeks to provide a user with additional information “predicted” to be of interest to the user, given the context implicit in the query and around its prompter, says VERSES Technologies Inc. (CBOE: VERS) (OTCQX: VRSSF). In fact, according to the company, which just filed a provisional patent application representing a new method for Predictive Querying on vector graph document databases, “Through evaluating current data solutions like vector search databases and graph databases, we identified significant gaps in effectiveness, so we invented new methods of modeling, managing and querying data that are tailored more towards new modalities in artificial intelligence.” Other top companies to be aware of in the space include Microsoft (NASDAQ: MSFT), Nvidia Corp. (NASDAQ: NVDA), Apple (NASDAQ: AAPL), and Alphabet (NASDAQ: GOOG, GOOGL). More About VERSES Technologies’ (CBOE: VERS) (OTCQX: VRSSF) Filed Patent VERSES Technologies, a cognitive computing company specializing in the next generation of artificial intelligence, announces the filing of a provisional patent application representing a new method for Predictive Querying on vector graph document databases. Probabilistic querying is an approach to database queries that seeks to provide a user with additional information “predicted” to be of interest to the user, given the context implicit in the query and around its prompter. VERSES’ novel Predictive Query method addresses limitations in prior arts by providing a system to perform probabilistic queries on the most advanced class of databases: vector graph document databases. Predictive Queries operate on vector graph document databases by implementing Hyperspatial Modeling Language (HSML) and an inference algorithm to generate a probabilistic and contextualized result. The Predictive Querying method is the first querying method that allows probabilistic querying on vector graph document databases, that enables an engine to generate rich predictions about the information being searched for by the user based on comparative, relationship and similarity information. “Through evaluating current data solutions like vector search databases and graph databases, we identified significant gaps in effectiveness, so we invented new methods of modeling, managing and querying data that are tailored more towards new modalities in artificial intelligence. This provisional patent is an important milestone that further signals our leadership position in the AI landscape and I couldn’t be more proud of the team and the tools we’re building.” said Jason Fox, CTO at VERSES. Knowledge graphs represent entities – any physical or conceptual “thing” one can have information about in the real world (e.g., a robot, a sofa, a waypoint in space, a specification of an activity) – and the relationships between them. HSML is a modeling language for qualifying the relationships between entities in a knowledge graph. An HSML vector graph document database is structured as an HSML knowledge graph and allows for information retrieval using complex queries that can simultaneously involve the comparison of entities (e.g., “find people older than Steve”), the identification of cause-effect relations (e.g., “who is Steve’s manager”?), as well as the evaluation of similarity between entities (e.g., “which employees have an educational background closest to Steve’s”?). Compared to vector graph document databases, other classes of databases are limited to either comparative, relationship or similarity search. Now, because of this new method for Predictive Querying on vector graph document databases, VERSES returns the most probable and relevant match to a user’s rich implicit goal (e.g., inferring and returning the most probable brand, model, and location to a search for “cheap sunglasses” along with the best deals on cycling clothes matching the style of the sunglasses). Other related developments from around the markets include: Microsoft and Moody’s announced a new strategic partnership to deliver next-generation data, analytics, research, collaboration and risk solutions for financial services and global knowledge workers. Built on a combination of Moody’s robust data and analytical capabilities and the power and scale of Microsoft Azure OpenAI Service, the partnership creates innovative offerings that enhance insights into corporate intelligence and risk assessment, powered by Microsoft AI and anchored by Moody’s proprietary data, analytics and research. Nvidia Corp., ServiceNow, and Accenture announced the launch of AI Lighthouse, a first-of-its-kind program designed to fast-track the development and adoption of enterprise generative AI capabilities. "This is a transformational moment for business to revolutionize how work gets done," said ServiceNow Chairman and CEO Bill McDermott. "In collaboration with our visionary partners, ServiceNow, NVIDIA, and Accenture are forming the market-leading blueprint for AI-first enterprise innovation. We expect the AI Lighthouse customer program to inspire breakthrough ideas with massive ROI: ‘return on intelligence.’" Apple announced the availability of new software tools and technologies that enable developers to create groundbreaking app experiences for Apple Vision Pro — Apple’s first spatial computer. Featuring visionOS™, the world’s first spatial operating system, Vision Pro lets users interact with digital content in their physical space using the most natural and intuitive inputs possible — their eyes, hands, and voice. Starting today, Apple’s global community of developers will be able to create an entirely new class of spatial computing apps that take full advantage of the infinite canvas in Vision Pro and seamlessly blend digital content with the physical world to enable extraordinary new experiences. With the visionOS SDK, developers can utilize the powerful and unique capabilities of Vision Pro and visionOS to design brand-new app experiences across a variety of categories including productivity, design, gaming, and more. Alphabet announced financial results for the quarter ended June 30, 2023. Sundar Pichai, CEO of Alphabet and Google, said: “There’s exciting momentum across our products and the company, which drove strong results this quarter. Our continued leadership in AI and our excellence in engineering and innovation are driving the next evolution of Search, and improving all our services. With fifteen products that each serve half a billion people, and six that serve over two billion each, we have so many opportunities to deliver on our mission.” In addition, Ruth Porat, CFO of Alphabet and Google, said: “Our financial results reflect continued resilience in Search, with an acceleration of revenue growth in both Search and YouTube, as well as momentum in Cloud. We continue investing for growth, while prioritizing our efforts to durably reengineer our cost base company-wide and create capacity to deliver sustainable value for the long term.” Legal Disclaimer / Except for the historical information presented herein, matters discussed in this article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any future results, performance or achievements expressed or implied by such statements. Winning Media is not registered with any financial or securities regulatory authority and does not provide nor claims to provide investment advice or recommendations to readers of this release. For making specific investment decisions, readers should seek their own advice. Winning Media is only compensated for its services in the form of cash-based compensation. Pursuant to an agreement Winning Media has been paid three thousand five hundred dollars for advertising and marketing services for VERSES Technologies Inc. by VERSES Technologies Inc. We own ZERO shares of VERSES Technologies Inc. Please click here for disclaimer. Contact: Ty Hoffer Winning Media281.804.7972[email protected]
A New Method of Predictive Querying Tailored for Artificial Intelligence August 02, 2023 - Baystreet.ca Probabilistic querying is an approach to database queries that seeks to provide a user with additional information “predicted” to be of interest to the user, given the context implicit in the query and around its prompter, says VERSES Technologies Inc. (CBOE: VERS) (OTCQX: VRSSF). In fact, according to the company, which just filed a provisional patent application representing a new method for Predictive Querying on vector graph document databases, “Through evaluating current data solutions like vector search databases and graph databases, we identified significant gaps in effectiveness, so we invented new methods of modeling, managing and querying data that are tailored more towards new modalities in artificial intelligence.” Other top companies to be aware of in the space include Microsoft (NASDAQ: MSFT), Nvidia Corp. (NASDAQ: NVDA), Apple (NASDAQ: AAPL), and Alphabet (NASDAQ: GOOG, GOOGL). More About VERSES Technologies’ (CBOE: VERS) (OTCQX: VRSSF) Filed Patent VERSES Technologies, a cognitive computing company specializing in the next generation of artificial intelligence, announces the filing of a provisional patent application representing a new method for Predictive Querying on vector graph document databases. Probabilistic querying is an approach to database queries that seeks to provide a user with additional information “predicted” to be of interest to the user, given the context implicit in the query and around its prompter. VERSES’ novel Predictive Query method addresses limitations in prior arts by providing a system to perform probabilistic queries on the most advanced class of databases: vector graph document databases. Predictive Queries operate on vector graph document databases by implementing Hyperspatial Modeling Language (HSML) and an inference algorithm to generate a probabilistic and contextualized result. The Predictive Querying method is the first querying method that allows probabilistic querying on vector graph document databases, that enables an engine to generate rich predictions about the information being searched for by the user based on comparative, relationship and similarity information. “Through evaluating current data solutions like vector search databases and graph databases, we identified significant gaps in effectiveness, so we invented new methods of modeling, managing and querying data that are tailored more towards new modalities in artificial intelligence. This provisional patent is an important milestone that further signals our leadership position in the AI landscape and I couldn’t be more proud of the team and the tools we’re building.” said Jason Fox, CTO at VERSES. Knowledge graphs represent entities – any physical or conceptual “thing” one can have information about in the real world (e.g., a robot, a sofa, a waypoint in space, a specification of an activity) – and the relationships between them. HSML is a modeling language for qualifying the relationships between entities in a knowledge graph. An HSML vector graph document database is structured as an HSML knowledge graph and allows for information retrieval using complex queries that can simultaneously involve the comparison of entities (e.g., “find people older than Steve”), the identification of cause-effect relations (e.g., “who is Steve’s manager”?), as well as the evaluation of similarity between entities (e.g., “which employees have an educational background closest to Steve’s”?). Compared to vector graph document databases, other classes of databases are limited to either comparative, relationship or similarity search. Now, because of this new method for Predictive Querying on vector graph document databases, VERSES returns the most probable and relevant match to a user’s rich implicit goal (e.g., inferring and returning the most probable brand, model, and location to a search for “cheap sunglasses” along with the best deals on cycling clothes matching the style of the sunglasses). Other related developments from around the markets include: Microsoft and Moody’s announced a new strategic partnership to deliver next-generation data, analytics, research, collaboration and risk solutions for financial services and global knowledge workers. Built on a combination of Moody’s robust data and analytical capabilities and the power and scale of Microsoft Azure OpenAI Service, the partnership creates innovative offerings that enhance insights into corporate intelligence and risk assessment, powered by Microsoft AI and anchored by Moody’s proprietary data, analytics and research. Nvidia Corp., ServiceNow, and Accenture announced the launch of AI Lighthouse, a first-of-its-kind program designed to fast-track the development and adoption of enterprise generative AI capabilities. "This is a transformational moment for business to revolutionize how work gets done," said ServiceNow Chairman and CEO Bill McDermott. "In collaboration with our visionary partners, ServiceNow, NVIDIA, and Accenture are forming the market-leading blueprint for AI-first enterprise innovation. We expect the AI Lighthouse customer program to inspire breakthrough ideas with massive ROI: ‘return on intelligence.’" Apple announced the availability of new software tools and technologies that enable developers to create groundbreaking app experiences for Apple Vision Pro — Apple’s first spatial computer. Featuring visionOS™, the world’s first spatial operating system, Vision Pro lets users interact with digital content in their physical space using the most natural and intuitive inputs possible — their eyes, hands, and voice. Starting today, Apple’s global community of developers will be able to create an entirely new class of spatial computing apps that take full advantage of the infinite canvas in Vision Pro and seamlessly blend digital content with the physical world to enable extraordinary new experiences. With the visionOS SDK, developers can utilize the powerful and unique capabilities of Vision Pro and visionOS to design brand-new app experiences across a variety of categories including productivity, design, gaming, and more. Alphabet announced financial results for the quarter ended June 30, 2023. Sundar Pichai, CEO of Alphabet and Google, said: “There’s exciting momentum across our products and the company, which drove strong results this quarter. Our continued leadership in AI and our excellence in engineering and innovation are driving the next evolution of Search, and improving all our services. With fifteen products that each serve half a billion people, and six that serve over two billion each, we have so many opportunities to deliver on our mission.” In addition, Ruth Porat, CFO of Alphabet and Google, said: “Our financial results reflect continued resilience in Search, with an acceleration of revenue growth in both Search and YouTube, as well as momentum in Cloud. We continue investing for growth, while prioritizing our efforts to durably reengineer our cost base company-wide and create capacity to deliver sustainable value for the long term.” Legal Disclaimer / Except for the historical information presented herein, matters discussed in this article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any future results, performance or achievements expressed or implied by such statements. Winning Media is not registered with any financial or securities regulatory authority and does not provide nor claims to provide investment advice or recommendations to readers of this release. For making specific investment decisions, readers should seek their own advice. Winning Media is only compensated for its services in the form of cash-based compensation. Pursuant to an agreement Winning Media has been paid three thousand five hundred dollars for advertising and marketing services for VERSES Technologies Inc. by VERSES Technologies Inc. We own ZERO shares of VERSES Technologies Inc. Please click here for disclaimer. Contact: Ty Hoffer Winning Media281.804.7972[email protected]