Scalable Neuro-Symbolic Architectures & Autonomous Agent Systems
"Investigating the mechanisms of internal self-model formation and metacognition in neural architectures."
- About the Researcher
- Research Philosophy
- Featured Breakthrough Projects
- Research Domains
- Metacognition & Cognitive Architecture
- Reinforcement Learning & Game Theory
- Generative AI & Diffusion Systems
- Large Language Models & Agents
- Computer Vision & Image Processing
- Astrophysics & Computational Cosmology
- Retrieval-Augmented Generation & Memory Systems
- Neural Architecture & Theory
- Production Applications & Tools
- Learning Resources & Community Contributions
- Achievements & Recognition
- Research Trajectory
- Collaboration & Contact
Devanik
B.Tech in Electronics & Communication Engineering '26
National Institute of Technology Agartala
Fellowships & Affiliations:
- ๐ Samsung Convergence Software Fellowship (Grade I) - Indian Institute of Science
- ๐ ISRO Space Hackathon Winner - National-level space technology innovation
- ๐ฌ Research Intern (Astrophysics ร ML) - Interdisciplinary computational cosmology
Core Technical Competencies:
- Cognitive Engineering - Designing high-reliability architectures for internal state estimation
- Applied Mathematics - Information Geometry, Causal Inference, and Topological Data Analysis (TDA)
- Distributed Systems - Scalable memory architectures for massive-agent simulations
- Bio-Inspired Computing - Neuromorphic plasticity rules and homeostatic regulation algorithms
Systems-Theoretic Approach
My work focuses on designing high-reliability cognitive architectures and mathematically grounded self-organizing systems.
This portfolio represents a rigorous engineering effort in distributed state estimation, control-theoretic stability, and scalable neuro-symbolic integration. Each project targets specific bottlenecks in current AI systemsโmemory consolidation, causal reasoning, and energetic efficiency.
Engineering Methodology:
- Metric-Driven Development - Quantifying internal state dynamics via information geometry.
- Scalability First - Designing architectures that survive orders-of-magnitude scaling.
- Reproducible Emergence - Rigorous benchmarking of emergent behaviors under adversarial conditions.
- Mathematical Grounding - Leveraging information theory (entropy, mutual information) as the primary optimization objective.
๐ฎ Divine MonadExperimental Exploration of Causal Emergence
Technical Contribution: Implements quantifiable metrics for higher-order information integration in distributed systems. |
Neuromorphic Continual Learning System
Technical Contribution: Demonstrates high-stability learning in curriculum-free environments. |
|
Longevity Research via Information Theory
Impact: Novel computational approach to lifespan extension |
๐ Lucid Dark DreamerNeural Dream Consolidation Mechanisms
Impact: Investigates self-supervised representations via offline consolidation. |
|
Free Energy Principle Implementation
Technical Contribution: Applies the Free Energy Principle to adaptive agent control systems. |
Space Hackathon Winning Project
Impact: National recognition for space resource utilization |
Investigating metacognition, state-estimation, and self-modeling architectures
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| causa-sui | Researching causal emergence in feedback-heavy architectures | Integrated Information (ฮฆ) as a metric |
| Recursive Hebbian Organism | Developmental learning with 21 cognitive stages | Neuromorphic continual learning |
| Thermodynamic Mind | Free energy principle for AI | Active inference framework |
| Dark Thermodynamic Mind | Extended mind hypothesis in computation | Embodied cognition for robots |
| Lucid Dark Dreamer | Dream-based memory consolidation | World model imagination |
| NanoCortex | Miniature cortical column simulation | Efficient neuromorphic processing |
| Engram | Persistent memory trace formation | Synaptic tagging mechanisms |
| MateriaMind | Substrate-dependent information integration | Integrated information in materials |
| MindScopeX | Neural state monitoring and internal diagnostics | Quantifying representation stability |
| Evolving-AI | Genetic algorithms for architecture search | Self-modifying neural structures |
| Self-Correcting Language Model | Metacognitive error detection | Confidence-aware generation |
Mastering strategic reasoning through multi-agent environments and complex games
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| AI Chess Nemesis | Deep RL chess engine with AlphaZero-style MCTS | Self-play improvement |
| MiniChess Deep RL | Compact chess variant for RL research | Reduced complexity analysis |
| MiniChess RL | Alternative implementation with policy gradients | PPO vs A3C comparison |
| Checkers RL | Q-learning and TD(ฮป) for checkers | Temporal difference methods |
| Sophisticated Sudoku RL | Constraint satisfaction via RL | Graph neural networks |
| Tic-Tac-Toe RL Battle Arena | Multi-agent tournament platform | Population-based training |
| RL Super Tic-Tac-Toe | Meta-game with recursive structure | Hierarchical RL policies |
| The Game of Nim RL | Combinatorial game theory meets RL | Optimal strategy convergence |
| Qwirkle RL | Pattern recognition board game | Visual feature learning |
| RL CartPole Environment | Classic control theory benchmark | Policy gradient comparison |
| Advanced RL Maze Solver | Multi-objective navigation | Curiosity-driven exploration |
| RubIKSolVeR | Rubik's Cube via deep RL | Admissible heuristic learning |
| open_spiel | DeepMind's game theory framework (fork) | Multi-agent research toolkit |
| Game Theory | Nash equilibrium and mechanism design | Economic modeling |
Creating novel content through probabilistic modeling and latent space manipulation
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| Fastest Text-to-Image Generator | Optimized Stable Diffusion with <2s inference | Distilled DDPM sampling |
| text-to-image | CLIP-guided diffusion implementation | Cross-modal conditioning |
| text-to-image-imagen | Google Imagen architecture recreation | Cascaded super-resolution |
| image-gen-vercel | Serverless diffusion with Vercel edge | Latent consistency models |
| vercel-fal-image-generator | Fast API latent generation | Real-time inference |
| openPipe-ART | Pipeline for artistic style transfer | Multi-stage refinement |
| Image Playground | Interactive generative art studio | UI for latent exploration |
| DreamSketch | Sketch-to-image generation | ControlNet conditioning |
| Text-to-Video Generator | Temporal coherent video synthesis | 3D U-Net diffusion |
| CycleGAN | Unpaired image-to-image translation | Cycle consistency loss |
| Landscape GAN | Photorealistic terrain generation | Progressive growing GAN |
| iGAN | Interactive generative adversarial networks | Real-time latent manipulation |
| GANs | Comprehensive GAN implementations | DCGAN, WGAN, StyleGAN |
| pytorch-generative-model-collections | VAE, GAN, Flow, Diffusion zoo | Unified training pipeline |
| MusicVAE | Variational autoencoder for music | Hierarchical LSTM decoder |
| ht-diffusers | Hugging Face diffusers fork | Custom schedulers |
| dinov3 | Self-supervised vision transformers | DINO v3 implementation |
| Awesome Text-to-Image | Curated diffusion resources | Research paper collection |
Building autonomous systems with reasoning, tool use, and multi-step planning
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| DeepSeek R1 | Reinforcement learning from human feedback | Chain-of-thought reasoning |
| DeepSeek Math V2 | Mathematical reasoning specialist | Formal proof generation |
| Qwen3 | Multilingual foundation model (fork) | Cross-lingual transfer |
| Qwen3 Coder | Code generation and completion | Repository-level context |
| Qwen Agent | Tool-augmented reasoning framework | Function calling API |
| Qwen Image | Vision-language model | Interleaved multimodal input |
| Kimi K2 | Long-context LLM (200k tokens) | Efficient attention mechanisms |
| Gemini | Google Gemini API integration | Native multimodality |
| nanoGPT | Minimalist GPT training from scratch | Educational implementation |
| transformers | Hugging Face transformers (fork) | Model hub ecosystem |
| LLMs from Scratch | Step-by-step LLM construction | Pedagogical resource |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| Agentic RAG R1 | Reasoning over retrieved documents | Multi-hop question answering |
| agent-zero | Minimal autonomous agent framework | Planning and execution |
| ai-agents-for-beginners | Educational agent development | Step-by-step tutorials |
| agent-starter-pack-google-gen-AI | 5-day intensive course | Production-ready templates |
| Basic Agent with Tool | Tool-calling LLM wrapper | Function execution |
| Mini Research Assistant | Search-augmented QA agent | Web scraping integration |
| AI Search & QA Agents | Information retrieval specialist | Multi-source synthesis |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| langchain | LangChain framework (fork) | Chain-of-thought orchestration |
| LangChain AI Chat App | Conversational agent with memory | Context-aware responses |
| LangGraph AI Chat App | State machine for complex flows | Graph-based reasoning |
| langflow | Visual agent builder | No-code LLM pipelines |
| langgraph-studio | Interactive graph debugger | Workflow visualization |
| Custom Chatbot using Langchain | Domain-specific assistant | Fine-tuned persona |
| LLM-powered Chatbot (DSAI Club) | Club management bot | Event coordination |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| gemini-cli | Command-line Gemini interface | Terminal integration |
| run-gemini-cli | Shell script wrapper | Automation ready |
| Gemini Autocomplete VSCode | IDE code completion | Context-aware suggestions |
| gemini-genai-processors | Data processing pipelines | Batch inference |
| gemini_icpc2025 | Competitive programming assistant | Algorithm generation |
| python-genai | Google GenAI Python SDK | API client library |
| Multimodal Assistant with Langflow | Vision + text reasoning | Cross-modal grounding |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| openai-cookbook | OpenAI API examples | GPT-4 patterns |
| anthropic-cookbook | Claude API recipes | Constitutional AI |
| Chatgpt-4-bot | Discord/Telegram integration | Social platform bots |
| Perplexity | Search-grounded generation | Citation tracking |
| Perplexity v2 | Enhanced retrieval pipeline | Relevance ranking |
| Project | Description | Use Case |
|---|---|---|
| AI Writing Studio | Long-form content generation | Blog/article creation |
| LinkedIn Post Generator | Professional content writer | Social media marketing |
| AI Resume and CV Creator | ATS-optimized resume builder | Job application |
| AI Nano Course Generator | Curriculum design assistant | Educational content |
| AI Note Generator | Study materials from lectures | Student productivity |
| PromptWizard | Prompt engineering optimizer | Meta-prompting |
| AI Daily Creative Prompt Hub | Inspiration generator | Creative writing |
| AI Dream Interpreter | Symbolic dream analysis | Psychology application |
| AI Mindmap Generator | Concept relationship mapper | Knowledge structuring |
| Character AI | Persona-based chatbot | Role-playing dialogue |
| Project | Description | Platform |
|---|---|---|
| vscode-copilot-chat | GitHub Copilot integration | VS Code |
| nexus-ai-chat-vscode | Custom AI chat panel | VS Code |
| nexus-ai-code-assist-vscode | Code completion plugin | VS Code |
| PixelForge AI Image Generator VSCode | In-editor image generation | VS Code |
| my-first-extension | VSCode extension template | Educational project |
Extracting structure and meaning from visual data through deep learning
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| ImageReasoning | Visual question answering | Attention-based reasoning |
| Yolo Object Detection Web App | Real-time detection API | YOLOv8 deployment |
| Advanced Star Classification App | Stellar object categorization | ResNet embeddings |
| Alien Signal Classification | SETI radio signal analysis | CNN spectrogram processing |
| alphafold-deepmind | Protein structure prediction (fork) | Equivariant transformers |
| AlphaFold | Alternative implementation | Evolutionary scale modeling |
| alphafold3 | Latest AlphaFold iteration | Diffusion for structures |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| Digital Image Processing Sparse | Compressed sensing reconstruction | L1 minimization |
| Denoising Images using DSP | Signal processing filters | Wiener/Kalman filtering |
| Denoising Audio with HPF | High-pass filter design | Butterworth/Chebyshev |
| The Bible of Digital Image Processing | Comprehensive tutorial collection | Classical algorithms |
| BG Remover | Background segmentation | U-Net matting |
| Sophisticated Palette | Color scheme extraction | K-means clustering |
| Project | Description | Framework |
|---|---|---|
| gallery | Photo management with ML | TensorFlow Lite |
| Simple Gallery | Lightweight image viewer | Kotlin native |
Applying machine learning to astronomical data and gravitational simulations
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| ISRO Mining Site Final App | Space Hackathon Winner - Lunar resource mapping | Satellite imagery analysis |
| ISRO Space Mining App | Mineral deposit prediction | Multi-spectral classification |
| Surya IBM ร NASA | Solar activity forecasting | Time-series transformers |
| Cosmic Craftathon | Space exploration simulator | Physics-based engine |
| Deep Universe | Cosmological parameter estimation | Bayesian neural networks |
| Black Hole | General relativity simulations | Ray tracing geodesics |
| Bi-LSTM Light Curve Reconstruction | Stellar variability modeling | Recurrent architectures |
| AI Cyclone Prediction | Hurricane trajectory forecasting | Spatio-temporal CNNs |
| Galaxy Dataset | Morphology classification | Transfer learning |
| evEntHorizoN_Z | Event horizon visualization | Relativistic rendering |
| QuasarQ | Quasar spectrum analysis | Dimensionality reduction |
| Life Beyond | Exoplanet habitability scoring | Random forest classifier |
| SpectraNova | Spectral line identification | Attention mechanisms |
Building knowledge-grounded AI with external memory and information retrieval
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| Agentic RAG R1 | Reasoning over retrieved context | Multi-hop retrieval |
| rag-flow | Production RAG pipeline | Vector database integration |
| code-graph-rag | Code repository QA | Graph neural retrieval |
| Chat With Your Files | Document conversational interface | Semantic chunking |
| AI Video Insights | YouTube transcript analysis | Temporal grounding |
| AI Audio Overview | Podcast summarization | Whisper + GPT-4 |
| VisionaryBook | Visual knowledge base | Image-text alignment |
Exploring novel architectures, training dynamics, and theoretical foundations
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| AI Architecture Playground | Experimental model zoo | Custom layer implementations |
| BSHDER Architecture | Biologically-inspired hierarchy | Sparse coding modules |
| ANN Zero to Hero | Pedagogical neural network series | Backprop from scratch |
| DeepSpeed | Microsoft training optimization (fork) | ZeRO memory reduction |
| tensorflow | TensorFlow framework (fork) | Custom ops development |
| safe-tensors | Secure model serialization | Rust-based library |
| vjepa2 | Video joint embedding predictive architecture | Self-supervised video |
| dinov3 | Self-distillation with no labels | Vision transformers |
| Bohrium | High-performance computing backend | GPU acceleration |
| A Machine Learning Approach for Optimal Power Gating | Hardware-software co-design | Energy efficiency |
Deployable systems solving real-world problems across diverse domains
| Project | Description | Tech Stack |
|---|---|---|
| E-commerce Product Insights Suite | Customer analytics dashboard | Streamlit + Plotly |
| AI Stock Insights | Financial market analysis | Yahoo Finance API |
| Netflix Stocks App | Time-series forecasting | LSTM predictions |
| Netflix Insights App | Content recommendation engine | Collaborative filtering |
| Dashboard Creator | Automated visualization generator | Matplotlib/Seaborn |
| GDP Dashboard App | Macroeconomic indicators | Pandas + Streamlit |
| Data Analysis App | Automated EDA pipeline | Statistical tests |
| Stackoverflow Analysis | Developer trends mining | NLP on Q&A data |
| Project | Description | Impact |
|---|---|---|
| ADV Crop Prediction App | Yield forecasting system | Random forest regressor |
| ML Deployment Crops | Production agriculture API | FastAPI + Docker |
| Adv Disease Prediction App | Medical diagnosis assistant | CNN on X-ray/MRI |
| planto AI Final Project | Plant disease identification | MobileNet transfer learning |
| Project | Description | Category |
|---|---|---|
| ChefSynth | Recipe generation from ingredients | NLP + knowledge graphs |
| AI Weather App | Hyperlocal forecasting | Ensemble weather models |
| AI NewsVault | Personalized news aggregation | Content-based filtering |
| Movies Dataset App | Film recommendation system | Matrix factorization |
| mangle AI Language | Conlang generator | Markov chain grammar |
| cipher-of-kings | Historical cryptography simulator | Classical ciphers |
| CryptX | Modern encryption toolkit | AES/RSA implementation |
| Project | Description | Purpose |
|---|---|---|
| HRM | Human resource management system | Employee database |
| CoNnEcTX | Professional networking platform | Graph-based matching |
| DriftNotes | Markdown note-taking app | Version control integration |
| QuantumDocs | Collaborative documentation | Real-time editing |
| Fast API Prometheus Grafana | Monitoring stack setup | Observability platform |
| Interview Prep Master | Technical interview simulator | LeetCode-style problems |
| DSA Mastery with Gemma 3 | Data structures tutor | Interactive learning |
| AlgoDiary | Algorithm complexity analyzer | Big-O visualization |
| Project | Description | Framework |
|---|---|---|
| Advanced Robot Monitoring | IoT sensor dashboard | Android + Firebase |
| AmazeFileManager | Material Design file browser (fork) | Kotlin |
| MaterialFiles | Alternative file manager | Material You |
| Olauncher | Minimalist launcher | Simplicity-focused |
| olauncher-light | Ultra-lightweight launcher | Battery-optimized |
| TextLauncher | Text-based app launcher | Accessibility |
| Project | Description | Core Architecture / Algorithm |
|---|---|---|
| Singularity AI | AGI conceptual framework | Thought experiment |
| void | Minimal text editor philosophy | Digital minimalism |
| Eerie.EXE | Creepypasta-inspired game | Narrative design |
| openclaw | Game engine reconstruction | Reverse engineering |
| Xenofit AI | Alien biology simulation | Procedural generation |
| open-mind-OM1 | Philosophy of mind simulator | Phenomenology exploration |
| Project | Description | Use Case |
|---|---|---|
| code-samples-for-poc-streamlit | Proof-of-concept templates | Rapid prototyping |
| EDA Improved | Enhanced exploratory data analysis | Statistical profiling |
| audio-file-error-handling-gpt-4 | Robust audio processing | Exception handling |
| Postman Challenge | API testing scenarios | QA automation |
| Project | Organization | Role |
|---|---|---|
| AI-ML Developer Jayadhi Limited | Jayadhi Limited | ML Engineer |
| Bharat Intern | Bharat Intern | Data Science |
| Planto AI Intern | Planto AI | Computer Vision |
| Coding JR AI Research Docs | Coding JR | Research Documentation |
| Primetrade.ai Data Science Assignment | Primetrade.ai | Quant Analysis |
| Project | Description | Stack |
|---|---|---|
| e-web | E-commerce platform | MERN stack |
| Project-X | Full-stack application | React + Django |
| Foundry-Local | Smart contract testing | Solidity + Hardhat |
Curated educational materials, forks, and collaborative projects
| Resource | Provider | Coverage |
|---|---|---|
| Microsoft GenAI For Beginners | Microsoft | 12-lesson curriculum |
| AI Foundations DeepMind | DeepMind | Mathematics of AI |
| ML For Beginners | Microsoft | Classical ML algorithms |
| Data Science For Beginners | Microsoft | End-to-end pipeline |
| Python Interactive Textbook | Community | Jupyter notebook tutorials |
| Resource | Topic | Depth |
|---|---|---|
| awesome-generative-ai-guide | Diffusion & LLMs | Comprehensive bibliography |
| awesome-datascience | Data Science | Curated tool list |
| The AI Bible | All AI subfields | Encyclopedic reference |
| AI Journals | Research papers | Annotated collection |
| AI Tools | Software ecosystem | Production-ready tools |
| synthid-text | Watermarking | DeepMind's SynthID |
| Project | Skill Area | Format |
|---|---|---|
| Opensource Practice | Git workflows | Contribution guide |
| Open-source Practice | Collaboration | Pull request training |
| PythonRobotics | Robotics | Algorithm implementations |
| My ML Projects | Portfolio | Personal collection |
| Repo | Purpose |
|---|---|
| Devanik21 | GitHub profile README |
| Debanik21 | Alternative profile |
| Certificates | Achievement documentation |
| IMP | Important references |
| markdown | Documentation templates |
| Fork | Original Author | Purpose |
|---|---|---|
| langchain | LangChain | Custom extensions |
| transformers | Hugging Face | Model experiments |
| tensorflow | Custom ops | |
| DeepSpeed | Microsoft | Training optimization |
| open_spiel | DeepMind | Game theory research |
|
๐ฅ ISRO Space Hackathon Winner (2024)
๐ Samsung Convergence Software Fellowship (Grade I)
๐ฌ Research Intern - Astrophysics ร ML
|
๐ 257 Active Repositories
๐ Core Engineering Contributions
๐ฏ Technical Breadth
|
- Divine Monad - Causal emergence investigation with integrated information metrics
- Recursive Hebbian Organism - Neuromorphic continual learning (21 developmental stages)
- Thermodynamic Mind - Free energy principle implementation
- Lucid Dark Dreamer - Dream-based memory consolidation
- Dark Thermodynamic Mind - Extended mind hypothesis for embodied cognition
- NanoCortex - Efficient cortical column simulation
- MateriaMind - Structural information integration in substrates
- Self-Correcting Language Model - Metacognitive error detection
|
Objective: Quantify the informational structure of foundation models via causal emergence metrics. Approach:
Expected Outcome: Quantifiable insights into the macro-scale informational structure of LLMs. |
Objective: Formalize control-theoretic bounds for adaptive self-modeling systems. Approach:
Expected Outcome: Mathematical guarantees on self-model integration and stability. |
Objective: Engineering safety constraints for complex self-modeling agents. Approach:
Expected Outcome: Technical safety recommendations for AGI labs and governments. |
Phase 1: System Validation & Benchmarking (2025-2026)
โโ Refining causal emergence metrics in distributed neural systems
โโ Peer-reviewed publications in cognitive engineering
โโ Safety benchmarking of autopoietic architectures
Phase 2: Distributed State Estimation (2026-2027)
โโ Investigating structural markers of information integration in large-scale transformers
โโ Homeostatic control systems for self-regulation
โโ Cross-architecture metabolic and information efficiency metrics
Phase 3: Autonomous Control Systems (2027-2029)
โโ General agency with robust internal model estimation
โโ Control-theoretic guarantees for high-agency systems
โโ Alignment through mathematically grounded self-models
Phase 4: Post-Biological Architectures (2029+)
โโ Information-theoretic substrates for AGI alignment
โโ Human-AI collaborative intelligence
โโ Exploration of non-biological cognitive substrates
Planned Graduate Research (2026+):
- PhD Focus: Computational Theories of Consciousness
- Thesis Direction: Bridging integrated information theory with deep learning
- Publication Goals: NeurIPS, ICML, Nature Neuroscience, JCS (Journal of Consciousness Studies)
- ๐ง Advanced internal modeling - Investigating self-referential loops and metacognition
- ๐ฌ Neuroscience ร AI - Bio-inspired architectures and learning rules
- ๐ Astrophysics ML - Cosmological simulations and data analysis
- ๐ฎ Multi-agent RL - Game theory and emergent cooperation
- ๐งฌ Computational biology - Protein folding, longevity research
- ๐ค AGI safety - Alignment through self-modeling and feedback control
|
@Devanik21 |
Professional Network |
@devanik2005 |
Research Publications |
I'm particularly interested in:
- Research scientist positions focusing on cognitive architectures and self-modeling
- Collaborative projects bridging neuroscience and AI safety
- Opportunities to work on foundation model interpretability and emergent properties
- Interdisciplinary research at the intersection of physics, neuroscience, and ML
What I Bring:
- 257 repositories demonstrating breadth and depth across AI
- Proven track record of experimental architecture prototypes (Divine Monad, Recursive Hebbian Organism, AION)
- National-level recognition (ISRO Hackathon Winner, Samsung Fellowship)
- Strong mathematical foundations and implementation skills
- Passion for investigating the fundamental limits and metrics of cognitive complexity.
"The path to AGI is not through bigger models, but deeper understandingโ
systems capable of internal self-model estimation and adaptive confidence tracking."
This repository ecosystem represents a systematic engineering effort. From reinforcement learning agents to thermodynamic minds, each project investigates how higher-order informational patterns and complex self-models can be reliably engineered in distributed systems.
The work continues.
Last Updated: February 2026
Status: Active Research
Next Milestone: Causal emergence metrics in large-scale foundation models
Built with rigorous engineering, driven by control theory, sustained by the pursuit of scalable intelligence.
ยฉ 2026 Devanik | National Institute of Technology Agartala