nels.ai is an independent research lab exploring the future of intelligence.
We publish open research at the edge of four domains that define tomorrow’s systems:
Quantum Computing — investigating fault-tolerant architectures, novel algorithms, and the boundaries of computational complexity.
Robotics — studying embodied intelligence, adaptive control, and human–machine collaboration.
Agentic AI — examining autonomous decision-making, multi-agent interoperability, safety, and alignment.
AI / Machine Learning — analyzing model architectures, benchmarks, interpretability, and real-world applications.
🧭 Mission
Our mission is to advance understanding of how intelligence operates across machines, systems, and environments. We focus on the interplay between computation, embodiment, and autonomy, while remaining committed to open research, transparent citations, and accessible insights.
🧩 Publishing Framework
The lab’s research outputs follow a structured cadence:
Working Notes: Short reflections and exploratory insights, published weekly.
Research Briefs: Monthly structured deep dives with data, analysis, and references.
Lab Reports: Quarterly landmark publications that synthesize trends, benchmarks, and forecasts.
🔍 Our Approach
We combine the clarity of structured research with the accessibility of reflective writing. Every piece is designed to stand alone as a research artifact while contributing to a larger, ongoing conversation. Readers can expect rigor, transparency, and a consistent format that makes it easy to track ideas across time.
✨ nels.ai is not just a publication — it is a research lab in public, committed to open inquiry at the frontiers of intelligence.
