Atombeam Technologies filed 1 patent application in H1 2026, focused on AI & Machine Learning (1).
The filing covers a Persistent Cognitive Machine architecture designed to enable artificial intelligence systems that maintain continuous thought processes and retain memory across system restarts. This approach allows AI to accumulate learning from experience over time, with applications in creating adaptive synthetic teammates for gaming environments that evolve alongside their communities.
1 AI/ML patent filed in this period centers on a fundamentally different model for how artificial intelligence operates over time. The Persistent Cognitive Machine architecture describes a system where AI maintains an ongoing internal thought process rather than waiting passively for input, consolidating memories through biologically-inspired sleep cycles and carrying its cognitive state forward even after a restart. Instead of the familiar pattern where a model receives a prompt and produces a response, this approach positions the AI as something closer to a continuous participant, one that accumulates experience, retains what it has learned, and generates its own internal activity independent of outside instruction.
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.