Quantum Neuromorphic Computing
Integrating quantum computational principles with neuromorphic architectures for adaptive exascale systems. Preprint on ResearchGate, May 2025.
Quantum MLNeuromorphicExascale
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AI Research Engineer · vergelAI ·
Building the Neural Foundations of AGI
AI Research Engineer at vergelAI, specialising in brain-computer interfaces, AGI alignment, and scalable ML systems. Also an author: The Great Fragmentation (2026).
Available
AFFILIATION
vergelAI
AI Research Engineer
BOOK FEATURED IN
ABOUT
About Ekemini Thompson
AI Research Engineer and Author — pushing the frontiers of artificial intelligence and public discourse.
Ekemini's specialisations span brain-computer interfaces, AGI alignment frameworks, quantum neuromorphic computing, and scalable machine learning systems. His 2025 research paper, Quantum Neuromorphic Computing for Adaptive Exascale Systems, is available on ResearchGate.
His engineering projects span ML microservices, real-time browser-based object detection, NLP-powered automation, AI-in-the-loop healthcare, aircraft engine predictive maintenance, and credit card fraud detection — all documented on DEV Community and GitHub.
Beyond AI, Ekemini writes books as a hobby. His debut, The Great Fragmentation (2026), tackles American political polarisation and has been covered by the National Law Review, National Today, and OpenPR. All books: Amazon Author Page.
RESEARCH FOCUS
Pushing the Boundaries of AI
Fundamental research in neural interfaces, AGI architecture, and scalable learning systems.
AGI Alignment Frameworks
Novel approaches to value learning and goal preservation in self-improving AI systems. Independent researcher.
AI SafetyGoal StabilityAlignment
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AI-in-the-Loop Healthcare
Pregnancy Fit-to-Fly: a mission-critical ML microservices platform for automated medical fitness-to-fly certificates.
FastAPIXGBoostMicroservices
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BOOKS
Writing Beyond Code
Bringing the same analytical rigour from AI research to human systems and societies.
April 2026
The Great Fragmentation
Ekemini Thompson
Politics
Social Commentary
FEATURED BOOK
April 9, 2026 · Kindle
The Great Fragmentation
Why America Feels Broken, Why Both Parties Are Failing and How to Come Back Together
A record 45% of Americans identified as political independents in 2025. This book gives voice to the millions feeling abandoned by both parties — identifying two competing worldviews driving the divide, and charting an honest, empathetic path forward that integrates the strengths of both.
As Featured In
ENGINEERING
Production Systems
Scalable AI implementations built and documented publicly.
ML Microservice Architecture
FastAPI inference engine, Node.js API, Docker — production-grade ML serving for healthcare.
FastAPIDockerscikit-learn
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Real-Time Object Detection in Browser
TensorFlow.js + COCO-SSD — real-time ML inference running fully client-side.
TensorFlow.jsCOCO-SSDBrowser ML
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Predictive Traffic Management
Random Forest + Linear Regression traffic volume prediction with real-time simulation.
Pythonscikit-learnTkinter
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Automated Customer Support (NLP)
End-to-end NLP pipeline for automated support response classification and routing.
NLPTensorFlowAutomation
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Aircraft Engine Predictive Maintenance
ML failure prediction with Docker and CI/CD pipelines for aviation safety-critical systems.
PythonDevOpsPredictive ML
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Credit Card Fraud Detection
Real-time fraud detection with FastAPI and ML — high-throughput financial transaction safety.
FastAPIMLReal-Time
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PHILOSOPHY
Why AGI Matters
The Neural Singularity
The boundary between biological and artificial cognition is dissolving — not through brute-force imitation, but through discovering the universal laws of intelligence itself.
Three pillars guide this work:
- Neural Primitives: The fundamental operations of cognition must be discovered, not designed — requiring tight integration with neuroscience.
- Scalable Alignment: As systems become more capable than their creators, mathematical frameworks for goal preservation become essential.
- Physics-Based Learning: The next breakthrough will come from deeper integration with physical laws, not just statistical patterns.
The most important problems are those that seem impossible today. Ekemini is committed to challenges that will define the next century of intelligence evolution.
CONTACT
Let's Build the Future
Interested in collaborating on AI research, or discussing ideas from the books? Get in touch.