Swahili Semantic Alignment in Zero-Shot Learning.
Exploring the transferability of semantic tokens from high-resource languages to Swahili using cross-lingual alignment techniques.
Thinking
in Public.
Deep insights from the edge of autonomous intelligence. We publish our findings to accelerate the alignment of AI with human progress.
FEATURED PUBLICATION
Sparse Attention mechanisms in Large Language Models.
A comprehensive study on reducing the computational complexity of transformer architectures without sacrificing semantic coherence. We explore new methods for linear-time attention and their implications for long-context reasoning in production environments.
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The Repository
Temporal Consistency in Edge-Based Object Detection.
Optimizing YOLO-based architectures for sub-10ms inference on ARM-based edge devices for real-time surveillance.
Game-Theoretic Planning in Multi-Agent Swarms.
Using Nash equilibrium as a heuristic for decentralized path planning in autonomous logistics networks.
Interpretability Layers for Black-Box Neural Nets.
A methodology for generating human-readable explanations for decision boundaries in high-stakes financial ML models.
Neural State Space Models for Market Forecasting.
Replacing traditional LSTM/GRU units with state-space representations for improved long-term dependency capture in volatile markets.
Quantization-Aware Training for Low-Power AI.
Techniques for 4-bit and 8-bit quantization that preserve 99%+ of full-precision model accuracy on mobile hardware.
Pushing the Boundary.
We are always looking for collaborators who value rigor and research.
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