Abstract: The present disclosure provides a privacy computing method based on homomorphic encryption, which includes steps as follows. The ciphertext data is received, where the ciphertext data has a floating-point homomorphic encryption data structure, and the floating-point homomorphic encryption data structure of the ciphertext data includes the ciphertext mantissa, exponent parameter and gain parameter. The gain parameter sets the precision of the floating point corresponding to the ciphertext mantissa. The exponent parameter is adapted to multiplication or division. The artificial intelligence model performs operations on the ciphertext data to return the ciphertext result.

Abstract: A fluid immersion cooling system includes a fluid tank that contains a layer of a dual-phase coolant fluid and one or more layers of single-phase coolant fluids. The dual-phase and single-phase coolant fluids are immiscible, with the dual-phase coolant fluid having a lower boiling point and higher density than a single-phase coolant fluid. A substrate of an electronic system is submerged in the tank such that high heat-generating components are immersed at least in the layer of the dual-phase coolant fluid. Heat from the components is dissipated to the dual-phase coolant fluid to generate vapor bubbles of the dual-phase coolant fluid. The vapor bubbles rise to a layer of a single-phase coolant fluid that is above the layer of the dual-phase coolant fluid. The vapor bubbles condense to droplets of the dual-phase coolant fluid. The droplets fall down into the layer of the dual-phase coolant fluid.