Silicon Research Group (SRG) operates to advance the understanding and application of modern AI
We operate at the intersection of deep domain expertise and compute, building the translation layers that turn complex physical data into predictive, systemic outcomes.
For decades, industries have been constrained by physical and computational limitations—bandwidth, cost, complexity, scale. At SRG, we believe the era of managing constraints is over. We build AI architectures that utilize proprietary domain data to outmaneuver traditional optimization strategies.
Initiatives and Solutions
Drug Discovery Predictive system toxicology (MPS translation layer)
Biomechanical analysis
Foundational Research & Publications:
Drug Discovery - Uncovering hidden knowledge in biomedical literature for drug discovery
Medical ontology-driven B-term discovery for novel pharma / biopharma target identification
Multi-dimensional feature extraction (beyond binary terms) for accelerated drug target identification
Narrow hybrid LLMs for information retrieval and association
Language and semantic-defined boundaries in LLMs
Do natural language constraints drive AI hallucinations in sparse-data domains (e.g., drug discovery, econ)?