Abstract: The present disclosure provides a method including: generating a first private key and a public key according to a parameter set of full homomorphic encryption; encrypting test data and label by the public key to generate test data ciphertext and label ciphertext; generating a smart contract executed by a blockchain system, and transferring control of an amount of cryptocurrency from a first cryptocurrency account to the blockchain; receiving a result of a verification to a model ciphertext; when the result indicates that the model ciphertext does not pass the verification, retrieving the control of the amount of cryptocurrency; and when the result indicates that the model ciphertext passes the verification, receiving the model ciphertext and a second private key from the blockchain system, and decrypting, according to the first and second private keys, the model ciphertext to generate a model to infer the test data.

Abstract: An operating method of a fully homomorphic encrypted neural network model is provided, wherein the fully homomorphic encrypted neural network model includes a plurality of layers, and the method performed by a processor includes: for one of the plurality of layers, encrypting a plaintext input with a first encryption algorithm to generate a ciphertext vector, performing a convolution operation according to the ciphertext vector to generate a result vector, transforming the result vector into a plurality of result ciphertexts adopting a second encryption algorithm, inputting the plurality of result ciphertexts into an activation function to generate a plurality of encrypted activation values, and repacking the plurality of encrypted activation values to generate an output vector adopting the first encryption algorithm.

Abstract: An inference method for encrypted deep neural network model is executed by a computing device and includes: encoding a message according to a quantization parameter to generate a plaintext, encrypting the plaintext according to a private key to generate a ciphertext, sending the ciphertext to a deep neural network model to generate a ciphertext result, decrypting the ciphertext result according to the private key to generate a plaintext result, and decoding the plaintext result according to the quantization parameter to generate an inference result.

Abstract: A portable device and a method using an accelerated network search architecture are provided. When a portable media component is connected to a client device, the portable media component outputs an identification signal. After the identification signal is successfully identified by a server, the server collects an agent dataset described in a high-level language from the client device through an accelerated network search platform. The server looks up a dataset that has characteristics similar to the agent dataset from a computing resource through the accelerated network search platform to output a candidate model. A client program dynamically updates and outputs performance data to the server according to actual performance of the client device executing the candidate model. The server modifies the candidate model according to the performance data multiple times, so as to train an optimized model for the client device to use.

Abstract: A light emitting diode lamp includes a lamp shade, a light emitting diode light source, a universal joint and a power connector. The light emitting diode light source is disposed in the lamp shade. The universal joint includes a first connecting part and a second connecting part. The first connecting part is fixed to the lamp shade. The second connecting part is rotatably connected to the first connecting part and fixed to the power connector.

Abstract: A light emitting diode lamp includes a lamp shade, a light emitting diode light source, a universal joint and a power connector. The light emitting diode light source is disposed in the lamp shade. The universal joint includes a first connecting part and a second connecting part. The first connecting part is fixed to the lamp shade. The second connecting part is rotatably connected to the first connecting part and fixed to the power connector.

Abstract: A light emitting device includes: a chip-mounting base; a light emitting chip mounted on the chip-mounting base; and a transparent encapsulant enclosing the light emitting chip and bonded to the chip-mounting base through a bonding material. The bonding material is an inorganic compound selected from one of a nitride compound and an oxide compound.

Abstract: A LED package structure includes an insulating ceramic base, whereon a first surface and a second surface are formed. The LED package structure further includes a casing disposed on the first surface of the insulating ceramic base. A hole is formed on the casing. The LED package structure further includes a heat-dissipating structure connected to the second surface of the insulting ceramic base, at least one LED chip, and at least one conductive circuit disposed inside the casing. The conductive circuit includes a first conductive portion, and a second conductive portion connected to the first conductive portion via the hole and electrically connected to the LED chip.

Abstract: A light emitting device includes: a chip-mounting base; a light emitting chip mounted on the chip-mounting base; and a transparent encapsulant enclosing the light emitting chip and bonded to the chip-mounting base through a bonding material. The bonding material is an inorganic compound selected from one of a nitride compound and an oxide compound.