[ad_1]
I’m proud to announce the newest 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 all the time working exhausting to be first to market with industry-focused, revolutionary know-how that makes a distinction, bettering our prospects’ enterprise outcomes. Patents awarded based mostly on the power of our purposes show 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} centered analysis course of can ship, making use of FICO’s information science brawn to resolve prospects’ most urgent enterprise and know-how challenges. FICO’s new information science and software program patents, which I collectively characterize as “the facility of 10,” amplify the advantages that prospects can obtain when making use of FICO® Platform and our whole 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 know-how improvements.
FICO’s new information science patents provide a various vary of enterprise purposes, empowering prospects to drive innovation throughout machine studying, know-how and course of. The ten information science and software program patents are:
“Auto-Encoder Enhanced Self-Diagnostic Elements for Mannequin Monitoring” — which is a diagnostic know-how 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 skilled auto-encoder for every related mannequin.“Overly Optimistic Information Patterns And Discovered Adversarial Latent Options” — which reinforces AI machine studying fashions to anticipate, detect, and mitigate adversarial AI assaults on associated computing programs, fashions, and applied sciences.“Technique and System for Predicting Adherence to a Therapy” — which characterizes a person utilizing predictive modeling strategies pushed by affected person remedy information to find out whether or not a affected person is prone to adjust to the remedy specified by a doctor.“Supervised Machine Studying-Primarily based Modeling of Sensitivities to Potential Disruptions” — which pertains to growing and utilizing machine learning-based fashions for quantifying sensitivity of an entity’s anticipated efficiency to some future potential disruptions in ecosystem.“Pc-Applied Resolution Administration Methods and Strategies” — which pertains to programs and strategies that determine inter-relationships between varied determination belongings and supply related alerts and notifications the place an area determination asset might globally have an effect on different determination belongings in numerous contexts.“Quick Automated Clarification 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 features, multi-layered neural networks, and latent rationalization neural community scoring.“Consumer Interface to Analyze and Navigate Via Resolution Logic” — which covers computer-implemented strategies to effectively analyze and navigate by way of determination logic utilizing an execution graph.“Constructing Resilient Fashions to Tackle Dynamic Buyer Information Use Rights” — which describes the right way 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 improvement (e.g., lack of information rights, withdrawal of buyer consent) with out having to resort to mannequin retraining. “Similarity Sharding” — which entails a system that organizes information into shards tailor-made to comparable relationships amongst information gadgets, 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 12 months. Completely happy Holidays!
Discover FICO Patents within the U.S. and Different Nations
[ad_2]
Source link