Foundations of
Machine Intelligence.
We explore learning algorithms, inference topologies, developer tools, and the infrastructure required to make intelligent systems reliable, deterministic, and computationally lean.
Active Research Streams
FUNDAMENTAL INQUIRY // SOFTWARE PROVING GROUNDS
Strategic Agent Learning & Deep Search
Investigating how capable strategic behavior emerges from autonomous feedback loops, deep tree search algorithms, and dual-head policy/value networks in competitive environments.
Dynamic Activation Sparsity & Kernel Topologies
Moving beyond monolithic compute paradigms. We research mathematical kernels and dynamic routing layers where only task-relevant parameter subsets fire during inference, reducing execution energy by up to 88%.
Contextual Code Intelligence & Semantic ASTs
Studying how models ingest multi-file codebases, build hierarchical abstract syntax trees, and verify generated patches across cross-module dependencies in browser-native execution sandboxes.
Heterogeneous Distributed Compute Topology
Engineering algorithms for scheduling neural network layers across diverse GPU, NPU, and edge hardware nodes without latency degradation.
Published Findings
PEER LOGS & SYSTEM ARCHITECTURE REVIEWS
Emergent Strategic Search in Deep RL Environments
Demonstrating how parallel MCTS rollouts combined with policy network priors outperform traditional alpha-beta heuristics in state-space depth and branch pruning.
Activation Sparsity in Production-Scale Inference Runtimes
Evaluating KV-cache retention, custom quantization kernels, and sparse weight routing across heterogeneous cloud and edge compute fabrics.
Semantic Abstract Syntax Tree Parsing for Model Reasoning
How multi-file dependency trees provide foundational context for accurate code synthesis, preventing regression across isolated workspace modules.
Collaborate with Knolink Research
We coordinate with university research groups, independent scientists, and systems engineering teams. Reach out to request datasets, benchmarks, or coordinate on prototype evaluations.