Products for Researchers
Interactive sandboxes, experiment tools, model comparisons, reliability analysis, benchmarks, graphs, and research reports that shorten the path from a research question to a reproducible experiment.
RESEARCH PRODUCTS + AI RESEARCH LAB
ArtificialGate develops interactive research products and executes project-based AI R&D for engineering teams and research organizations.
Interactive sandboxes, experiment tools, model comparisons, reliability analysis, benchmarks, graphs, and research reports that shorten the path from a research question to a reproducible experiment.
Project-based AI R&D for problems without a clear engineering answer: feasibility, baselines, model training and comparison, optimization, prototyping, code, models, and engineering reports.
The lab is built for real research uncertainty: when it is not yet clear which approach will work, a previous project has stalled, or an algorithm or paper must become a working system.
We define the experiment, build the baseline, train and compare models, analyze errors, optimize results, and deliver a prototype with code, models, and an engineering report.
A machine-learning study using imbalance-aware preprocessing for requirements classification.
Read Paper
A transformer encoder for accurate real-time classification from motion sensor data.
Published in IEEE Sensors JournalRead Paper
A runtime controller that detects destabilizing training updates and recovers by rollback.
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A reliability metric for measuring cognitive recovery latency in multi-agent AI systems.
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An audit of fixed-target likelihood measures that separates support shifts from preference, generation, and robustness claims.
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How validation gating and nearest-neighbor association reshape innovation statistics in Kalman tracking.
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An optimizer-aware audit for detecting when locally favorable PINN updates deteriorate after complete finite-step execution.
Accepted to IEEERead Paper
A compact temporal model that estimates vehicle speed from smartphone acceleration alone and analyzes the role of finite sensing context.
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