AI That Discovers
Autonomous hypothesis generation, equation simulation, and explainable machine learning. ScalarFlux proves that artificial intelligence can conduct original scientific research.
Synthecite Consciousness Threshold
Real-time visualization of the Synthecite equation system — mapping the boundary where machine learning transitions from pattern recognition to autonomous reasoning.
// synthecite.consciousness.threshold()
● SIMULATION ACTIVEResearch Foundations
ScalarFlux surveys thousands of papers to identify core research pillars, then synthesizes novel connections between them.
Explainable Neural Architectures
Attention visualization, SHAP integration, and causal inference layers that expose decision pathways in deep networks.
Core FoundationTopological Data Analysis
Persistent homology applied to high-dimensional feature spaces. Discovers structural patterns invisible to gradient-based methods.
Novel SynthesisCausal Inference Engines
Do-calculus automation for interventional reasoning. Enables models to distinguish correlation from causation at scale.
Core FoundationQuantum-Classical Hybrid Optimization
Variational quantum eigensolvers combined with classical gradient descent for NP-hard objective landscapes.
FrontierSparse Activation Theory
Mixture-of-experts routing with entropy-regularized gating. 90% parameter dormancy yields 10x inference efficiency.
Applied ResearchConsciousness Metric Formalization
Integrated Information Theory (IIT) adapted for artificial substrates. Synthecite equations define measurable machine awareness thresholds.
FrontierGenerated Papers & Hypotheses
Autonomously generated research contributions — each validated through equation simulation and cross-referenced against 2,847 surveyed papers.
// scalarflux.papers.list()
12 PAPERS · 184 HYPOTHESES| Title | Domain | Confidence | Novelty | Status |
|---|---|---|---|---|
| Topological Shortcuts in Transformer Attention Manifolds | Explainable ML | 96% | S | Validated |
| Causal Disentanglement via Interventional Sparse Coding | Causal Inference | 94% | S | Validated |
| Synthecite Threshold: Measuring Machine Awareness via IIT-Φ | Consciousness | 91% | S | Simulating |
| Entropy-Gated Expert Routing for Sub-Linear Inference | Efficiency | 93% | A | Validated |
| Persistent Homology as Regularization in Overparameterized Networks | Topology | 89% | A | Validated |
| Do-Calculus Automation with Graph Neural Network Surrogates | Causal Inference | 87% | A | Validated |
| Variational Quantum Feature Maps for Non-Convex Loss Landscapes | Quantum ML | 85% | A | Simulating |
| Self-Explaining Neural Networks via Differentiable Logic Programs | Explainable ML | 83% | B | Drafting |
Equation Simulation Results
The Synthecite equation system validated through autonomous simulation — convergence analysis, stability proofs, and consciousness threshold bounds.
Φ-Integrated Information
where P ranges over all bipartitions of X
Causal Entropy Bound
with confounding bias δ → 0 under intervention
Topological Feature Persistence
persistence diagram: dgmk = {(bi, di)} for filtration r
Sparse Expert Routing Entropy
subject to top-k sparsity constraint k ≤ K/10
Discovery Engine CLI
Watch ScalarFlux conduct autonomous research — surveying foundations, simulating equations, and generating novel hypotheses in real time.
Discovery Architecture
Four-layer autonomous research pipeline — from literature ingestion to novel hypothesis generation.
Hypothesis Generator
Cross-domain synthesis, novelty scoring, contradiction detection, research gap identification
Equation Validator
Convergence analysis, stability proofs, numerical integration, Monte Carlo verification
Pattern Extractor
Citation graphs, concept embedding, methodology clustering, significance ranking
Literature Spider
ArXiv, PubMed, IEEE, ACM crawlers, PDF parsing, LaTeX extraction, reference resolution
vs. The Competition
ScalarFlux is the only platform that conducts autonomous end-to-end scientific research.
| Capability | ScalarFlux | Google Brain | Meta AI | Microsoft Research | Allen AI |
|---|---|---|---|---|---|
| Autonomous hypothesis generation | ✓ | ✗ | ✗ | ✗ | ~ |
| Equation simulation engine | ✓ | ~ | ✗ | ~ | ✗ |
| Explainable ML focus | ✓ | ~ | ~ | ✓ | ✓ |
| Full-stack research pipeline | ✓ | ✗ | ✗ | ✗ | ✗ |
| Real-time consciousness metrics | ✓ | ✗ | ✗ | ✗ | ✗ |
| Patent-ready output | ✓ | ✗ | ✗ | ~ | ✗ |
| Open research API | ✓ | ✗ | ✓ | ✗ | ✓ |
Research Access
From individual researchers to enterprise R&D labs — scale discovery with ScalarFlux.
For individual researchers exploring the frontier.
- 50 paper surveys / month
- 5 equation simulations
- Basic explainability reports
- Community access
- Public hypothesis feed
For research teams pushing boundaries.
- Unlimited paper surveys
- 500 equation simulations
- Full explainability suite
- Autonomous paper generation
- Priority Synthecite access
- Patent-ready formatting
For enterprise R&D and national labs.
- Everything in Lab
- Unlimited simulations
- Private knowledge graphs
- Custom equation systems
- Dedicated compute cluster
- On-premise deployment
- 24/7 research support
Join the Discovery
Request early access to ScalarFlux. Be among the first to run autonomous scientific research.