function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}

function initSystem() {
  const kernel = new Core({
    threads: 16,
    memory: '64GB',
    architecture: 'x86_64'
  });
  
  kernel.boot().then(() => {
    console.log('System online.');
    startServices();
  });
}

class NeuralNet {
  constructor(layers) {
    this.layers = layers;
    this.weights = this.initializeWeights();
  }
  
  forward(inputs) {
    let current = inputs;
    for (const layer of this.layers) {
      current = layer.activate(current, this.weights);
    }
    return current;
  }
}