Abstract: An apparatus for an artificial intelligence neural network based on co-evolving neural ordinary differential equations (NODEs) includes a main NODE module configured to provide a downstream machine learning task; and an attention NODE module configured to receive the downstream machine learning task and provide attention to the main NODE module, in which the main NODE module and the attention NODE module may influence each other over time so that the main NODE module outputs a multivariate time-series value at a given time for an input sample x.

Abstract: A neural ODE-based conditional tabular generative adversarial network apparatus includes: a tabular data preprocessing unit for preprocessing tabular data composed of a discrete column and a continuous column; a Neural Ordinary Differential Equation (NODE)-based generation unit for generating a fake sample by reading a condition vector and a noisy vector generated based on the preprocessed tabular data; and a NODE-based discrimination unit for receiving a sample composed of a real sample or the fake sample of the preprocessed tabular data and performing continuous trajectory-based classification.

Abstract: A collaborative filtering recommending apparatus includes an initial-embedding generation module configured to generate first and second initial embeddings; a dual co-evolving ordinary differential equation module comprising first and second ordinary differential equation processing members which repeat, for a specific time, a process of receiving first and second previous embeddings, respectively, and outputting first and second subsequent embeddings, respectively, through mutual influence as a learning time elapses, the first and second previous embeddings initially corresponding to the first and second initial embeddings, respectively; and a final-embedding generation module configured to generate a first final embedding by cumulative summing the first previous and subsequent embeddings, and to generate a second final embedding by cumulative summing the second previous and subsequent embeddings.

Abstract: Proposed is a genomic editing vector for Eubacterium callanderi for the CRISPR/Cas9 system. The genomic editing vector for Eubacterium callanderi includes a DNA sequence encoding a guide RNA (gRNA) of a cleavage target gene; a DNA sequence encoding a Cas9 protein; a Prbo promoter that is operably linked to the DNA sequence encoding a Cas9 protein; a replication starting point derived from E. coli; a replication starting point for Eubacterium callanderi; and a marker for selecting transgenic strains. It is possible to provide a genomic editing vector for Eubacterium callanderi that can be applied to Eubacterium callanderi strains that are acetogen that is suitable for syngas biorefinery, a method for editing a genome of Eubacterium callanderi strains using the same, and transgenic Eubacterium callanderi strains using the same.

Abstract: Disclosed are solar charging control apparatuses and methods for the same. An apparatus for controlling solar power charging includes a main controller controlling charge/discharge of a battery storing power generated in a solar cell in order to protect overcharge and overdischarge of the battery; and a secondary controller maintaining a sleep mode when a terminal voltage of the battery is not less than a threshold voltage and reviving the main controller by using power generated in the solar cell when the terminal voltage of the battery is less than the threshold voltage. Therefore, even when the main controller of the solar charging control apparatus is downed, the solar charging control apparatus can be ordinarily operated by using power generated by solar cells. Also, costs demanded for managing a solar charging system which is installed in a remote place can be saved.

Abstract: Disclosed are solar charging control apparatuses and methods for the same. An apparatus for controlling solar power charging may comprise a main controller controlling charge/discharge of a battery storing power generated in a solar cell in order to protect overcharge and overdischarge of the battery; and a secondary controller maintaining a sleep mode when a terminal voltage of the battery is not less than a threshold voltage and reviving the main controller by using power generated in the solar cell when the terminal voltage of the battery is less than the threshold voltage. Therefore, even when the main controller of the solar charging control apparatus is downed, the solar charging control apparatus can be ordinarily operated by using solar energy generation. Also, costs demanded for managing a solar charging system which is installed in a remote place can be saved.