Trademark Overview
On Thursday, April 24, 2025, a trademark application was filed for DIFFLOGIC with the United States Patent and Trademark Office. The USPTO has given the DIFFLOGIC trademark a serial number of 99154281. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Thursday, April 24, 2025. This trademark is owned by DiffLogic Inc.. The DIFFLOGIC trademark is filed in the Computer & Software Services & Scientific Services and Computer & Software Products & Electrical & Scientific Products categories with the following description:
Downloadable computer software for providing a library of differentiable logic gate networks; Downloadable computer software for a framework for machine learning training and inference with logic gate networks; Downloadable computer software for machine learning training and inference; Downloadable computer software for artificial intelligence training and inference; Downloadable computer software for solving machine learning tasks using logic gate networks with discretization, optimization, and parametrized relaxation techniques; Downloadable computer software for the design and generation of integrated circuits using logic gate network-based machine learning; Downloadable computer software for electronic design automation (EDA) using differentiable logic gate networks for integrated circuit design; Integrated circuits; Programmable logic controller (PLC); Semiconductor devices; Silicon chips
Technological planning and consulting services in the field of computer software, artificial intelligence, and machine learning; Technological planning and consulting services in the field of the design, planning, implementation, and use of computer software for building differentiable logic gate networks; Technological planning and consulting services in the field of software utilization, architecture, and optimization for logic gate network-based machine learning; Technological planning and consulting services in the field of integrated circuit design using logic gate network-based machine learning; Technological planning and consulting services in the field of designing and developing software and methodologies for machine learning-based generation of integrated circuit architectures
