Code Examples & Use Cases

Explore practical implementations of Eiseniiaia AI across various domains and technologies.

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Example Categories

Core Framework

Fundamental implementations showing basic AI interactions, pattern recognition, and neural circuits in action.

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Advanced Applications

Complex implementations combining quantum machine learning, optimization, and hybrid computing models.

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Featured Code Samples

🧠

Neural Circuit


from eiseniiaia import NeuralCircuit

circuit = NeuralCircuit(layers=3, neuron_density=128)
circuit.train(patterns=[
    ([0,1,1], 1),
    ([1,0,1], 0)
])
print(circuit.predict([1,1,0]))

⚛️

Quantum AI


const qEngine = new EiseniiaiaQuantum();
qEngine.setConstraints({
    qubits: 64,
    algorithm: 'QAOA'
});
console.log(qEngine.optimize(spinMatrix));

☁️

Cloud API


client := NewEiseniiaiaClient("API_KEY")
result, _ := client.Analyze(
    input,
    Options{Latency: "low"}
)
fmt.Println(result)

Real-World Applications

Healthcare Diagnostics

AI-powered tumor detection system with 99.3% accuracy

Our system analyzes medical scans using quantum-enhanced pattern recognition to detect anomalies at microstructural levels.

{"accuracy": "99.3%", "cases_analyzed": 12000, "response_time": "2.1s"}

Financial Forecasting

Predictive market anomaly detection

Combines reinforcement learning with quantum Monte Carlo simulations for real-time market prediction at 100ms intervals.

{"return_rate": "12.3%", "risk_profile": "medium", "confidence": "92%"}

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