Abstract: Embodiments regard neural network (NN) obfuscation. A method can include receiving data representing the NN architecture. The NN architecture includes neurons, each neuron comprising corresponding neuron input weights, an activation function, and one or more interconnections between one or more other neurons of the neurons. The method can include mapping inputs to the neurons from a continuous domain to a discrete domain resulting in discretized neuron inputs. The method can include applying the activation function to the discretized neuron inputs resulting in discretized neuron outputs.

Abstract: Systems, devices, methods, and computer-readable media for completing an ontology. A method can include providing, to a machine learning (ML) model, unstructured data including a vocabulary of words of an ontology, receiving, from the ML model, a first learned term relationship model indicating respective relationships, the respective relationships indicating which words of the vocabulary of words are related to each other, identifying a relationship of the respective relationships that is (i) present in the first ontology and (ii) absent from a second ontology, providing a prompt including data indicating the relationship to a large language model (LLM), receiving a result from the LLM indicating a type of the relationship, and adding the relationship and the type to the second ontology.

Abstract: Embodiments regard improving machine learning (ML) training dataset generation. A method includes receiving or generating, by a scene editor, an image, augmenting, using procedural generation, the image to include a three-dimensional (3D) model of an object resulting in a synthetic image, and generating, by a generative model and based on the synthetic image, a realistic image.

Abstract: Embodiments regard neural network (NN) obfuscation. A method can include receiving data representing the NN architecture. The NN architecture includes neurons, each neuron comprising corresponding neuron input weights, an activation function, and one or more interconnections between one or more other neurons of the neurons. The method can include mapping inputs to the neurons from a continuous domain to a discrete domain resulting in discretized neuron inputs. The method can include applying the activation function to the discretized neuron inputs resulting in discretized neuron outputs.

Abstract: Provided herein is a method for producing an antibody, such as an anti-TNF? antibody (e.g., infliximab) having a C-terminal lysine content of about 20% to about 70%, and a sialic acid content of about 1% to about 20%, comprising culturing a zinc-responsive host cell transfected with DNA encoding the antibody in a culture medium comprising at least 0.5 ?M zinc; and controlling the concentration of zinc in the culture medium, thereby producing the antibody.

Abstract: Provided herein is a method for producing an antibody, such as an anti-TNF? antibody (e.g., infliximab) having a C-terminal lysine content of about 20% to about 70%, and a sialic acid content of about 1% to about 20%, comprising culturing a zinc-responsive host cell transfected with DNA encoding the antibody in a culture medium comprising at least 0.5 ?M zinc; and controlling the concentration of zinc in the culture medium, thereby producing the antibody.