Legal Representation
Attorney
JEFFERSON SCHER
USPTO Deadlines
Application History
10 events| Date | Code | Type | Description | Documents |
|---|---|---|---|---|
| Dec 22, 2025 | TEME | I | TEAS/EMAIL CORRESPONDENCE ENTERED | Loading... |
| Dec 22, 2025 | CRFA | I | CORRESPONDENCE RECEIVED IN LAW OFFICE | Loading... |
| Dec 22, 2025 | TROA | I | TEAS RESPONSE TO OFFICE ACTION RECEIVED | Loading... |
| Sep 22, 2025 | GNRN | O | NOTIFICATION OF NON-FINAL ACTION E-MAILED | Loading... |
| Sep 22, 2025 | GNRT | F | NON-FINAL ACTION E-MAILED | Loading... |
| Sep 22, 2025 | CNRT | R | NON-FINAL ACTION WRITTEN | Loading... |
| Sep 15, 2025 | DOCK | D | ASSIGNED TO EXAMINER | Loading... |
| Apr 22, 2025 | MAFR | O | APPLICATION FILING RECEIPT MAILED | Loading... |
| Apr 22, 2025 | NWOS | I | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | Loading... |
| Apr 22, 2025 | NWAP | I | NEW APPLICATION ENTERED | Loading... |
Detailed Classifications
Class 009
Semiconductors; integrated circuits; microprocessors; computer hardware; computer hardware with preinstalled software for on device artificial intelligence for robots, vehicles, drones, and autonomous machines, namely, software for real time sensor data processing, sensorimotor control of actuators, autonomous navigation and obstacle avoidance, and system health/safety monitoring; recorded computer firmware for on device artificial intelligence for robots, vehicles, drones, and autonomous machines, namely, firmware for real time sensor data processing, control of motors and actuators, and safety monitoring; computer hardware incorporating artificial intelligence for executing real time control and decision making in robots, vehicles, drones, and autonomous machines; computer software for developing, deploying, running, and updating machine-learning-based control and decision systems recorded on electronic media or embedded in chips and hardware for autonomous decision-making and control; computer software for on-device training, adaptation, and deployment of machine learning models recorded on electronic media or embedded in chips and hardware for autonomous decision-making and control; pre-trained machine learning models being computer software recorded on electronic media or embedded in chips and hardware for autonomous decision-making; computer hardware preloaded with artificial intelligence software and models for use in robotics, automation, and industrial systems
Classification
International Classes
009
Disclaimers
The following terms have been disclaimed and are not claimed as part of the trademark:
Specific Disclaimer
ALGORITHM