Abstract: Various embodiments of the disclosure disclose a method for quantizing a Deep Neural Network (DNN) model in an electronic device. The method includes: estimating, by the electronic device, an activation range of each layer of the DNN model using self-generated data (e.g. retro image, audio, video, etc.) and/or a sensitive index of each layer of the DNN model; quantizing, by the electronic device, the DNN model based on the activation range and/or the sensitive index; and allocating, by the electronic device, a dynamic bit precision for each channel of each layer of the DNN model to quantize the DNN model.

Abstract: Embodiments of the disclosure provide a method and device for efficiently reducing dimensions of an image frame by an electronic device. The method includes: receiving the image frame; transforming the image frame from a spatial domain comprising a first plurality of channels to a non-spatial domain comprising a second plurality of channels, where a number of the second plurality of channels is greater than a number of the first plurality of channels; removing channels comprising irrelevant information from among the second plurality of channels using an AI engine to generate a low-resolution image frame in the non-spatial domain; and providing the low-resolution image frame to a neural network for a faster and accurate inference of the image frame.

Abstract: Various embodiments of the disclosure disclose a method for quantizing a Deep Neural Network (DNN) model in an electronic device. The method includes: estimating, by the electronic device, an activation range of each layer of the DNN model using self-generated data (e.g. retro image, audio, video, etc.) and/or a sensitive index of each layer of the DNN model; quantizing, by the electronic device, the DNN model based on the activation range and/or the sensitive index; and allocating, by the electronic device, a dynamic bit precision for each channel of each layer of the DNN model to quantize the DNN model.

Abstract: The present disclosure provides a modified microorganism having an enhanced biomass synthesis capacity. The present disclosure also relates to a method for manufacturing a modified microorganism having an enhanced biomass synthesis capacity. The enhanced biomass synthesis capacity is due to the overexpression of the gene capable of inducing DNA repair mechanism. The gene responsible for the DNA repair is overexpressed when DNA damage is most and DNA repair mechanism is required.

Abstract: According to an embodiment of the invention, there is provided a method of increasing biomass and lipid content in a micro-organism comprising cloning in a vector an exogenous gene sequence selected from the group comprising Atg1 gene, Atg6 gene, and Atg8 gene sequence wherein the sequence is codon optimized for said micro-organism, for inducing autophagy; introducing the vector containing the gene into the genome of the micro-organism to yield a genetically modified micro-organism; and growing the genetically modified micro-organism in suitable medium. According to another embodiment of the invention there is provided a method of increasing biomass and lipid content in a micro-organism exposed to stress, comprising treating the microorganism with an autophagy inducing agent.

Abstract: The present disclosure provides a modified microorganism having an enhanced biomass synthesis capacity. The present disclosure also relates to a method for manufacturing a modified microorganism having an enhanced biomass synthesis capacity. The enhanced biomass synthesis capacity is due to the overexpression of the gene capable of inducing DNA repair mechanism. The gene responsible for the DNA repair is overexpressed when DNA damage is most and DNA repair mechanism is required.