3 patent(s) in this week's alert:
Assignee Summary:| Patents | Owner |
| 1 | ARTHREX |
| 1 | Daon Technology |
| 1 | Zscaler |
| Patents | Class Code |
| 1 | A61B [DIAGNOSIS; SURGERY; IDENTIFICATION (analysing biologica...] |
| 1 | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] |
| 1 | H04L [TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC C...] |
Details on individual patents:
| #12685576 | Compression/reduction drivers for performing surgical methods |
| Applied: | 07/25/2024, #18/784313 |
| Issued: | 07/21/2026, [726 days App to Issue] Normal range: (646 to 1962) |
| Pat Class: | A61B [DIAGNOSIS; SURGERY; IDENTIFICATION (analysing biologica...] In this class there are; 150912 patents, 10357 companies, and 104270 inventors in 250 other Metros. |
| Claims: | 20; Normal range for this patent class is (8 to 26) |
| Assignee: | ARTHREX (Naples, FL) with total patents of: 783 (since 2005) |
| Counsel: | Firm: Carlson, Gaskey Olds, P.C. |
| 1st Invent: | Paul Fein (Maynard, MA) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | Compression/reduction drivers are provided for performing surgical methods. Exemplary surgical methods that may be performed using the compression/reduction drivers described herein include, but are not limited to, arthrodesis procedures (i.e., bone fusion procedures), fracture fixation procedures, etc. The compression/reduction drivers are configured to simultaneously and independently apply a force against a bone segment and drive a fixation device into the bone segment. |
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| #12688261 | Methods and systems for authorizing invocation of a tool by an autonomous artificial intelligence agent |
| Applied: | 02/27/2026, #19/552620 |
| Issued: | 07/21/2026, [144 days App to Issue] Unusually Fast Normal range: (543 to 1841) |
| Pat Class: | G06F [ELECTRIC DIGITAL DATA PROCESSING (computer systems base...] In this class there are; 669473 patents, 21444 companies, and 428172 inventors in 250 other Metros. |
| Claims: | 20; Normal range for this patent class is (9 to 27) |
| Assignee: | Daon Technology (Douglas, ) with total patents of: 23 (since 2005) |
| Counsel: | Atty: Kevin McDermott, Esq. |
| 1st Invent: | Raphael A. Rodriguez (Marco Island, FL) |
| Inventors: | Genders: F=0, M=2 |
| Abstract: 2000 char max | A method for authorizing invocation of a tool by an autonomous artificial intelligence (AI) agent includes receiving, by an electronic device, a request from an autonomous AI agent operating in the electronic device. The request is for invoking a tool associated with a protected resource. Moreover, the method includes obtaining a fidelity signal indicative of whether the autonomous AI agent is behaviorally bound to the person, and obtaining an integrity signal indicative of whether execution behavior of the autonomous AI agent is within a range expected for using the requested tool. Furthermore, the method includes determining whether the request satisfies policy rules based on at least one of the fidelity signal, the integrity signal and a context associated with the request. When the request satisfies the policy rules, a delegation artifact is generated and the tool invocation request is effected based on the delegation artifact. |
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| #12689571 | Identifying device type using machine learning on sparsely populated log data |
| Applied: | 04/02/2024, #18/625059 |
| Issued: | 07/21/2026, [840 days App to Issue] Normal range: (516 to 1748) |
| Pat Class: | H04L [TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC C...] In this class there are; 215640 patents, 13540 companies, and 241453 inventors in 247 other Metros. |
| Claims: | 20; Normal range for this patent class is (10 to 26) |
| Assignee: | Zscaler (San Jose, CA) with total patents of: 397 (since 2005) |
| Counsel: | Firm: Baratta Law PLLC |
| 1st Invent: | Thomas James Geisler (Fort Myers, FL) |
| Inventors: | Genders: F=0, M=4 |
| Abstract: 2000 char max | Systems and methods for identifying device type within a network include receiving data associated with monitoring network communication traffic associated with a plurality of devices; analyzing the data of the plurality of devices, wherein the analyzing includes identifying one or more features of the data of each of the plurality of devices; and labeling each of the plurality of devices as one of a user device and a non-user device based on the one or more features. |
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