Distributed Operations
Super Intelligence Lab CIC operates an optimized distributed structure within the United Kingdom. Our primary corporate operations, institutional networking, and regulatory governance are anchored in London. Concurrently, our specialized machine learning operations infrastructure, dataset sandboxing pipelines, and hardware testing arrays are deployed out of our North East engineering outpost in Newcastle upon Tyne.
Directorate & Engineering Core
Patents & Intellectual Property
A portfolio of foundational innovations in conversational AI architecture, automated reasoning frameworks, and enterprise-scale data retrieval systems.
Granted Patents
Innovation in conversational AI for e-commerce applications at Flipkart.
Automated query response generation utilizing structured conversational AI layers. ↗
Advanced topological and algorithmic ranking methodologies designed for complex electronic discovery systems. ↗
Intelligent prioritization and active-learning processing framework for high-throughput item reviews. ↗
Game logic innovation and interactive procedural chess engines. ↗
Under Regulatory Review
Automated multi-turn conversational response control and verification infrastructure.
Interactive native AI response generation framework optimizing parameter alignment.
Upstream semantic user query understanding and context-window mapping architecture.
Selected Peer-Reviewed Research
Contributions to fundamental research in sequential recommendation networks, multi-turn dialogue reinforcement learning, and speech processing across premier global machine learning venues.
| Year | Research Title | Venue | Source |
|---|---|---|---|
| 2025 | Concept to Code: Sequential Recommendation with Large Language Models | RecSys | ACM ↗ |
| 2022 | Conversational Recommender System Using Deep Reinforcement Learning | RecSys | ACM ↗ |
| 2022 | Concept to Code: Deep Reinforcement Learning for Conversational AI | KDD | ACM ↗ |
| 2021 | Concept to Code: Semi-supervised End-To-End Approaches for Speech Recognition | Interspeech | Link ↗ |
| 2019 | Concept to Code: Deep Learning for Multi-Task Recommendation | RecSys | ACM ↗ |
| 2019 | Concept to Code: Deep Neural Conversational System | KDD | Program ↗ |
| 2019 | Concept to Code: Deep Learning for Fashion Recommendation | TheWebConf | ACM ↗ |
| 2019 | Personalised Fashion Recommendation using Deep Learning | COMAD-CODS | ACM ↗ |
| 2019 | Concept to Code: Neural Networks for Sequence Learning | ECIR | ACM ↗ |
| 2018 | Concept to Code: Learning Distributed Representation for Heterogeneous Sources for Recommendation | RecSys | ACM ↗ |