Active research, applied to live systems.
Perceptronix sits at the intersection of academic research and industrial AI delivery. Recent work spans macroeconomic forecasting with NIESR, neural ensemble methods for financial time-series, and applied GenAI architectures. ORCID 0000-0001-7339-0132 for the full publication record.
Three current research strands.
Multi-recurrent neural networks (MRNs)
A long-running research programme on deep recurrent architectures whose recurrent state is structured to capture multi-scale temporal dependencies. Applied across NLP, finance, and macroeconomics.
AI for macroeconomic forecasting
Published with NIESR and the University of Birmingham. UK CPI inflation forecasts to within ±0.2% across multi-month horizons; US inflation turning-point detection ahead of the SPF.
Cognitive science & neural computation
Work published in Trends in Cognitive Science and AI in Medicine on the computational foundations of recurrent learning systems.
Recent featured outputs.
- 2025
UK CPI inflation outlook — Winter 2025
Tepper, J. A. et al. · NIESR Economic Outlook (Winter 2025)
MASCET inflation forecasts and turning-point analysis.
- 2025
Multi-recurrent neural ensembles for financial time-series forecasting
Tepper, J. A. et al. · Journal of Risk and Financial Management (JRFM)
- 2024
UK CPI inflation outlook — Spring 2024
Tepper, J. A. et al. · NIESR Economic Outlook (Spring 2024)
Forecasts within ±0.2% across multi-month horizons.
- 2023
Neural ensembles for cross-cutting economic trend detection
Tepper, J. A. et al. · Procedia Computer Science
Full publication record on ORCID and Google Scholar.
Have a forecasting or classification problem that needs to work in production?
Tell us about it. First conversations are confidential, no-obligation, and usually end with a clear view of feasibility, data needs, and time-to-value.