Oporto, Portugal

Fernando Emanuel Dias Correia

This inventor holds 1 USPTO granted patent. Top assignee: Sword Health S.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fernando Emanuel Dias Correia. Retrieved from https://idiyas.com/inventor/fernando-emanuel-dias-correia

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Fernando Emanuel Dias Correia: Patent Profile and Innovation

Introduction

Fernando Emanuel Dias Correia is an inventor associated with Oporto, Portugal, and Sword Health S.A. His patent work concerns the use of reinforcement learning to improve recommendations within a digital platform.

Latest Patents

The supplied information lists one patent for Correia: “Multi-dimensional reinforcement learning in an AI platform.” The disclosed system maintains and updates user data, then uses machine-learning models to generate recommendations that include exploratory elements for users’ activity programs. Supervising users validate those elements before implementation. The models are subsequently updated using two reinforcement signals: feedback from validated recommendations and results from the activity programs. The platform can then generate further recommendations using the updated models. The listed patent count is 1 patent.

Career Highlights

Correia is associated with Sword Health S.A., a company working in digital health. His listed patent reflects an approach that combines supervised validation with activity outcomes to refine AI-generated recommendations.

Collaborations

The patent description identifies supervising users as participants in validating exploratory program elements. The supplied information does not specify additional collaborators or the inventor’s particular role at Sword Health S.A.

Conclusion

Fernando Emanuel Dias Correia’s listed invention applies multi-dimensional reinforcement learning to personalized recommendations, using both human validation and program results to guide ongoing model updates.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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