3 results about "Multiple case" patented technology

The present invention is directed to a software-based technology system for managing and executing high volumes of work on complex projects across multiple organizations involving multiple users that results in superior outcomes at significantly reduced time and cost. Litigation is the initial application of this invention; each case is handled as a project. As applied to litigation, the system of the invention empowers a novel method of end-to-end case assessment, planning, execution and management by integrating tools, processes and procedures allowing for more informed decision-making and deliberate execution of all case-related actions as well as enhanced coordination and communication among all constituents, resulting in efficient achievement of targeted outcomes. The system provides intuitive, menu-driven functionality for inputting, processing and utilizing vast amounts of information, including company and case-specific information, attorney discretionary evaluation and input, document templates and monitoring and reporting requirements. A threat algorithm cross-correlates via multivariate analysis critical data points with customized company-specific information and business logic to generate a numeric threat score as an output. The system also predicts the expected settlement range with a high degree of precision for a specific case as the output of one or a combination of multiple artificial intelligence (AI) / machine learning algorithms. The system then generates a unique case strategy (which includes an expected outcome, including projected outcome, Case Plan and estimated attorneys' fees and costs). System logic learns from thousands of examples of similar cases and directs highly effective and efficient execution of a specific Case Plan providing each attorney and staff member assigned a role in a case with a prioritized task list that is updated in real time as other users complete tasks and litigation priorities change. For each user, the system integrates assigned tasks across multiple cases and multiple client portfolios into a single, prioritized task list. The execution features become increasingly valuable given the volume and complexity of projects across multiple organizations and users, allowing users to focus on their area of expertise and avoid the wasted time and distraction of trying to determine what they should be working on or recording notes to communicate what they have been doing since the system automatically performs these functions and directs the various users' next steps while monitoring their progress against the plan. Integration of administrative functions, including automated time tracking, billing and reporting without the need to rely on users to update this information, further increases quality and efficiency of legal services. Key objectives of the system of the present invention include eliminating gaps between business objectives and litigation strategy and optimizing communication and coordination of case-related tasks and priorities in a fully automated fashion, which are all achieved by leveraging data and technology to enable a fundamentally different approach that becomes smarter and more precise via machine learning and predictive modeling.

The application relates to the technical field of intelligent sports training, and particularly discloses a case reasoning method for personalized sports training driven by cause-effect knowledge and based on man-machine cooperation, which comprises the following steps: constructing a case library containing multiple cases and reconstructing cause-effect knowledge at different levels; retrieving a case most similar to a target case from the case library based on the weight of each description variable; identifying the difference between the training scheme variables of the target case and the retrieved similar case, performing counterfactual intervention and inference on any training scheme variable of the target case, and screening one or more new cases; when the actual result generated after the execution of the new case does not meet the expectation, executing an attribution process and generating different processing suggestions according to the attribution type; and storing the new case that does not meet the expectation in the case library and periodically reconstructing the cause-effect knowledge. The application can deeply integrate cause-effect science and man-machine interaction to perform personalized training scheme reasoning.

The invention relates to the technical field of case testing, in particular to a hardness detection device for a novel material case of a large computer, which comprises a pair of testing bases and a transfer trolley, the top of each testing base is fixedly connected with a fixing frame, and a top frame is fixedly connected to the middle between the fixing frames; through the arrangement of the test bases, the righting mechanism and other structures, only a transfer trolley with case glass needs to be pushed to the position between the test bases, then under the operation of the righting mechanism, the case glass on the transfer trolley can be automatically righting and extruded between the fixing cylinders, and the case glass can be accurately tested. Then the moving mechanism can be driven to run, the extrusion head is moved to the side of the case glass, then the case glass can be subjected to an anti-extrusion hardness test, and the operation is repeated, so that a plurality of pieces of case glass on the transfer trolley can be automatically straightened and tested, a detector does not need to feed and test one by one, and the convenience performance of the device is greatly improved.