Our 8th “deep learning” patent is a first.
Our 8th patent.
On Octobert 9, 2018, Intraspexion’s patent family achieved a first: Our 8th patent is the first U.S. patent to use the terms “deep learning” and blockchain in the legally relevant field of patent Claim(s). For more, see the Blockchain group, below.
On July 1, 2016, with assistance from co-founders Dan Cotman and Obi Iloputaife of CotmanIP Law Group PLC (Pasadena, CA), founder Nick Brestoff filed the provisional application for our first patent.
On September 27, 2016, the formal application was filed for “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning.”
On December 12, 2016, as a first Office Action, we received a Notice of Allowance.
On January 24, 2017, our first patent issued as U.S. Pat. No. 9,552,548. We’d gone from “application” to “issued” in less than four months.
A Patents-First Strategy
Intraspexion’s leadership believed that “deep learning” was hot and getting hotter, and so adopted a “patent-first” strategy. Based on the first (parent) patent, we began writing continuations-in-part.
Each continuation-in-part stems from the parent. The Priority Date for each patent is July 1, 2016.
By agreement with the USPTO, the Expiration Date for each patent is September 27, 2036.
The current family
On January 24, 2017, Patent No. 9,552,548 was issued and assigned to Intraspexion. The title is “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning.”
On September 12, 2017, No. 9,760,850 was issued. This patent goes by the same title but has different claims.
On September 5, 2017, the USPTO issued patents related to contract drafting defects (No. 9,754,206), entertainment/publishing projects (No. 9,754,219), and product defects (No. 9,754,205).
Also on September 5, 2017, the USPTO issued Patent No. 9,754,220 for “Using Classified Text and Deep Learning Algorithms to Identify Medical Risk and Provide Early Warning.”
Here we’ve gone from “general risk” to “specific risks.” For example, in “medical,” the risk classifications are specific diseases. The diagnosis is akin to a litigation risk category. The symptoms are akin to the emails. After inputting a new patient’s symptoms, the system will pattern-match for a diagnosis, access a database of tests, and report to the provider. Now the provider gets an early warning of either a missed or mistaken diagnosis, and notice of tests to confirm or deny. The sooner the provider is on the right track the better: the patient benefits and the cost of his or her care will be lower.
On September 5, 2017, the USPTO also issued Patent No. 9,754,218 for “Using Classified Text and Deep Learning Algorithms to Identify Support for Financial Advantage and Provide Notice.”
Here we’ve gone from risks to avoid to financial advantages to obtain. For example, companies in the energy, oil & gas, telecom, and other sectors, the system can be trained to find documents that pattern-match with documents that previously qualified for R & D tax credits.
On October 9, 2018, the USPTO issued Patent No. 10,095,992 for "Using Classified Text, Blockchain and Deep Learning to Identify Low-Frequency Adverse Situations, and Provide Early Warning." This patent is the first patent to use blockchain to enable deep learning. This patent is for adverse situations where the number of training examples is small, e.g., violations of the Foreign Corrupt Practices Act, Product Liability litigation, and losses due to the theft of trade secrets.