Legal Representation
Attorney
Jenny Greisman
Application History
18 events| Date | Code | Type | Description | Documents |
|---|---|---|---|---|
| Dec 17, 2025 | NONP | E | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED | Loading... |
| Nov 29, 2025 | CNSA | O | APPROVED FOR PUB - PRINCIPAL REGISTER | Loading... |
| Nov 17, 2025 | TEME | I | TEAS/EMAIL CORRESPONDENCE ENTERED | Loading... |
| Nov 17, 2025 | CRFA | I | CORRESPONDENCE RECEIVED IN LAW OFFICE | Loading... |
| Nov 17, 2025 | TROA | I | TEAS RESPONSE TO OFFICE ACTION RECEIVED | Loading... |
| Sep 12, 2025 | RFNT | P | REFUSAL PROCESSED BY IB | Loading... |
| Aug 27, 2025 | ARAA | I | ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED | Loading... |
| Aug 27, 2025 | REAP | I | TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED | Loading... |
| Aug 27, 2025 | CHAN | I | APPLICANT/CORRESPONDENCE CHANGES (NON-RESPONSIVE) ENTERED | Loading... |
| Aug 27, 2025 | COAR | I | TEAS CHANGE OF OWNER ADDRESS RECEIVED | Loading... |
| Aug 22, 2025 | RFCS | P | NON-FINAL ACTION MAILED - REFUSAL SENT TO IB | Loading... |
| Aug 22, 2025 | RFRR | P | REFUSAL PROCESSED BY MPU | Loading... |
| Jul 20, 2025 | RFCR | E | NON-FINAL ACTION (IB REFUSAL) PREPARED FOR REVIEW | Loading... |
| Jul 18, 2025 | CNRT | R | NON-FINAL ACTION WRITTEN | Loading... |
| Jul 14, 2025 | DOCK | D | ASSIGNED TO EXAMINER | Loading... |
| May 16, 2025 | MAFR | O | APPLICATION FILING RECEIPT MAILED | Loading... |
| May 16, 2025 | NWOS | I | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | Loading... |
| May 15, 2025 | REPR | M | SN ASSIGNED FOR SECT 66A APPL FROM IB | Loading... |
Detailed Classifications
Class 009
Computer hardware for data processing, microprocessors, electronic components for computers; data processing apparatus for the management of data and information; semiconductors; computer memories, computer peripherals; semiconductor chips for computers, electronic apparatus and industrial machines; integrated circuits; printed circuit boards; computer hardware, namely, computer communication servers; data processing equipment for data analysis, machine learning, quantum computing and artificial intelligence; artificial intelligence (AI) data processors and graphics accelerators adapted for neural networks and deep learning models; machine learning computer chips for high-speed calculation and parallel processing in data centers and cloud computing.
Class 042
Custom design and development of microprocessors, integrated circuits and semiconductor chips based on personal selections made by the customer; engineering services for the design and configuration of microchips and semiconductor technologies; quality control services for others for testing and validating the performance and functionality of microprocessors and semi-conductor chips; quality control services for others, namely, fault diagnosis and analysis services for microprocessor and semiconductor technologies; product design of algorithms intended to be used with microprocessor devices and semiconductor technologies; research and product development in the field of artificial intelligence (AI) processors and accelerators adapted for neural networks and deep learning models; research and product development services in the fields of semiconductor manufacturing, microprocessor architecture and chip design; product design and development consultation services in the fields of technological research, improvement of design and innovation in semiconductor technologies; providing technical support services for troubleshooting problems in the nature of diagnosing computer hardware problems connected with the performance of microprocessors and semi-conductor chips; technological product design and development advice on technical optimization and integration of semiconductor technologies in electronic apparatus; technological product design and development consultation services in the fields of microprocessor and semiconductor technology design, manufacturing and innovation; technological product design and development advisory services in the fields of scaling, miniaturizing and energy efficiency of semiconductors for chip development; product design of artificial intelligence and machine learning systems suitable for optimizing and improving the performance of microprocessors and semiconductor chips; customized product development of neural network models to improve artificial intelligence processors and semiconductor-based embedded systems.
Classification
International Classes
009
042