WMC Analytics filed 1 patent this quarter in the AI & Machine Learning category.
The filing covers technology for analyzing gameplay replays through artificial intelligence that parses game files and classifies in-game events. This system generates personalized training assessments by identifying a player's weakest skill areas and providing targeted feedback to address performance gaps.
The AI & Machine Learning patent describes a system that goes beyond simple performance tracking by applying machine learning to determine which skills deserve attention first. Rather than flagging every weakness equally, the technology calculates what it calls a "path of least resistance" by comparing a player's current abilities against their stated goals. This approach identifies the skill gap that, if closed, would yield the most progress toward those goals, even if other skills rank lower in absolute terms. The system uses Q&A benchmarks to support this prioritization logic, directing coaching resources toward the highest-leverage improvements rather than the most glaring deficiencies.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.