2results about How to "Promote openness" patented technology

The utility model provides an outdoor shooting lamp. The outdoor shooting lamp comprises a shell, a light-emitting mechanism and a heat dissipation piece. The light-emitting mechanism comprises a light-emitting assembly and a protective cover arranged on the shell, the protective cover and the shell define a containing cavity, and the light-emitting assembly is arranged in the containing cavity; the heat dissipation piece is arranged in the containing cavity, located on the side, away from the soft light cover, of the light emitting assembly and used for heat dissipation. Wherein one side of the shell sinks inwards to form an expansion groove, the outdoor lamp further comprises an end cover, and the end cover completely extends into the expansion groove, is connected with the expansion groove in a clamped mode and is used for closing or opening the expansion groove. According to the outdoor shooting lamp, a standardized interface is provided for a user through the arrangement of the expansion slot, and different accessories can be rapidly added to the outdoor shooting lamp; the pluggable design of the end cover enables the expansion slot to be conveniently closed or opened according to actual requirements, the expansion slot can be effectively closed when the expansion slot is not used through the design of the end cover connected in a clamping mode, and invasion and damage of external dust, rainwater and other environmental factors to the expansion interface are avoided.

The application discloses a kind of AI training data copyright protection method and system based on block chain, the method includes: extracting semantic feature vector to art work generates digital fingerprint, with using permission policy together write into block chain;AI training party extracts training data feature vector, with on-chain digital fingerprint Similarity comparison, compliance proof is generated based on zero-knowledge proof and is submitted to block chain;Smart contract is inquired according to matching result work permission, it is judged whether authorization, and digital license certificate or rejection log is generated;After training, compliance report is generated by summarizing digital license certificate, and AI model is bound and stored in block chain.Therefore, using zero-knowledge proof technology, under the premise that original training data set content is not disclosed, the compliance proof that can be verified is submitted to chain.And through smart contract, license agreement is converted into tamper-proof code logic, ensure that each authorized record is open and transparent, traceable and automatically executed.