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I’m proud to announce the most recent group of ten information science and software program patents awarded to FICO by the U.S. Patent and Trademark Workplace. Our international information science and software program groups are at all times working laborious to be first to market with industry-focused, modern expertise that makes a distinction, enhancing our clients’ enterprise outcomes. Patents awarded based mostly on the energy of our functions exhibit the novelty of those improvements.
Making use of Innovation to Meet Actual-world Course of and Expertise Challenges
FICO’s newest patent wins illustrate the distinction {that a} targeted analysis course of can ship, making use of FICO’s information science brawn to unravel clients’ most urgent enterprise and expertise challenges. FICO’s new information science and software program patents, which I collectively characterize as “the facility of 10,” amplify the advantages that clients can obtain when making use of FICO® Platform and our complete household of software program options to run their enterprise. I’m proud to be inventor or co-inventor on many of those information science patents, which deliver my private patent rely to greater than 130 patents authored, with 92 granted and 42 pending. Congratulations to all FICO inventors, the information scientists and software program engineers who labored collectively to create these first-of-kind expertise improvements.
FICO’s new information science patents provide a various vary of enterprise functions, empowering clients to drive innovation throughout machine studying, expertise and course of. The ten information science and software program patents are:
“Auto-Encoder Enhanced Self-Diagnostic Parts for Mannequin Monitoring” — which is a diagnostic expertise system for mannequin governance that gives a dependable indication on mannequin degradation and suggestion for mannequin rebuild. When utilized to a category of supervised fashions, the diagnostic system can decide probably the most acceptable mannequin for the shopper based mostly on the reconstruction error of a educated auto-encoder for every related mannequin.“Overly Optimistic Knowledge Patterns And Discovered Adversarial Latent Options” — which reinforces AI machine studying fashions to anticipate, detect, and mitigate adversarial AI assaults on associated computing techniques, fashions, and applied sciences.“Technique and System for Predicting Adherence to a Remedy” — which characterizes a person utilizing predictive modeling methods pushed by affected person remedy information to find out whether or not a affected person is more likely to adjust to the remedy specified by a doctor.“Supervised Machine Studying-Based mostly Modeling of Sensitivities to Potential Disruptions” — which pertains to creating and utilizing machine learning-based fashions for quantifying sensitivity of an entity’s anticipated efficiency to some future potential disruptions in ecosystem.“Pc-Carried out Resolution Administration Programs and Strategies” — which pertains to techniques and strategies that establish inter-relationships between numerous determination property and supply related alerts and notifications the place a neighborhood determination asset might globally have an effect on different determination property in several contexts.“Quick Automated Rationalization of Scored Observations” — which generates concise explanations of scored observations that compute environment friendly trade-offs between rank-ordering efficiency and explainability utilizing the framework of partial dependence capabilities, multi-layered neural networks, and latent clarification neural community scoring.“Consumer Interface to Analyze and Navigate Via Resolution Logic” — which covers computer-implemented strategies to effectively analyze and navigate by means of determination logic utilizing an execution graph.“Constructing Resilient Fashions to Deal with Dynamic Buyer Knowledge Use Rights” — which describes tips on how to construct resilient fashions that may account for occasions that may have an effect on the composition or availability of buyer information utilized in mannequin growth (e.g., lack of information rights, withdrawal of buyer consent) with out having to resort to mannequin retraining. “Similarity Sharding” — which includes a system that organizes information into shards tailor-made to comparable relationships amongst information objects, selling extra environment friendly administration and preservation of associated data.“Multi-Layered Self-Calibrating Analytics” — which improves fraud detection leveraging multi-layered, self-calibrating analytics for detecting self-learned latent options for detection of fraud within the absence of high quality historic information.
Sustain with FICO’s fast-paced innovation machine by following me on the FICO Weblog, LinkedIn and X, and I’ll see you within the New Yr. Pleased Holidays!
Discover FICO Patents within the U.S. and Different International locations
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