Recent Headlines in the IP World:
- David Phelan: Apple Watch Could Boast Smart Cameras For FaceTime, Patent Hints (Source: Forbes)
- David A. Mann: Ford Seeks to Eliminate New-Car Smell (Source: Louisville Business Journal)
- Sarah Karlin-Smith and Sarah Owermohle: Drug Prices and IP Rights to Come Up at Review of NAFTA (Source: Politico)
- Ryan Whitwam: Google Patents Wheeled VR Shoes (Source: Extreme Tech)
Commentary and Journal Articles:
- Atty. David Boundy: The PTAB Is Not an Article III Court, Part 1: A Primer on Federal Agency Rule Making (Source: SSRN)
- Jennifer Weiss: U.S. Patent Litigation Juries and a Solution for Improving Jury Comprehension (Source: SSRN)
- John Pletz: For Motorola, Patents Provide the Sword and the Shield (Source: Crain’s Chicago Business)
New Job Postings on Patently-O:
- Dority & Manning
- Potomac Law Group, PLLC
- DiBerardino McGovern IP Group
- Finch & Maloney PLLC
- McNeill Baur PLLC–Experienced Patent Agent
- McNeill Baur PLLC–Associate/Counsel
- Blueshift IP
- Lerner David
- Roberts Mlotkowski Safran Cole & Calderon, P.C.
- Harrity & Harrity
- Steptoe–Junior/Mid-Level Associate
- Steptoe–Senior Associate
- Patent Prosecutor
- Caldwell Intellectual Property Law
Two-thirds of the patents issued to Motorola last year related to software and services. In 2014, 70 percent of its patents related to the company’s traditional radio equipment, Klingert says. “We’ve gotten more tactical about what we’re filing. Artificial intelligence and data analytics are critical to where we’re going. We’ve shifted our patent strategy to reflect that.”
Sure, that’s a really smart move.
LOL
AI patents are the worst of the worst and I’m ready to bet my horse that it’ll be an AI patent that ultimately ends the logic patenting farce once and for all.
Tell me again about your “logic” copyrighting.
I think AI could be potentially be patentable. It would have to be more than train a known AI algorithm with particular data to perform a particular task. In that case, you are just using a prior art AI algorithm in its conventional and expected manner. For a known algorithm that categorizes images, it is irrelevant what the content of the image are (an AI doesn’t know a picture is of a cat, it merely has learned to associate a first set of data (the image data of the cat picture) with second data (the data that, when viewed by a human, is associated with a cat)).
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