Our 8th “deep learning” patent is a first.
Background. On July 1, 2016, with professional assistance from co-founders Dan Cotman and Obi Iloputaife of CotmanIP Law Group PLC (Pasadena, CA), the provisional for our first patent was filed. The Priority Date for our first 7 patents is July 1, 2016.
On September 27, 2016, the formal application was filed.
On December 12, 2016, we received the USPTO’s first Office Action: a Notice of Allowance.
On January 24, 2017, our first patent issued as U.S. Pat. No. 9,552,548.
We’d gone from formal application to issued patent in less than four months.
Realizing that the form of A.I. known as “deep learning” was hot and getting hotter, we adopted a “patent-first” strategy.
On October 9, 2018, the family grew to eight (8). For the explanation of why our 8th is a “first,” see the Blockchain group, below.
Future. We plan on extending our patent “beachhead” to other countries. On September 22, 2017, the International Searching Authority issued a favorable opinion as to novelty, inventive step, and industrial applicability.
On January 24, 2017, Patent No. 9,552,548 was issued and assigned to Intraspexion. Founder Nelson E. (Nick) Brestoff is the sole inventor for “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 are transferring from “general risk” to “specific risks.” For example, in “medical,” the risk classifications are specific diseases. The symptoms that correctly led to each specific disease are examples of a correct diagnosis. After inputting a new patient’s symptoms, the system will pattern-match for them. With the system running in the background, a provider gets an early warning of either a missed or mistaken diagnosis, and notice of tests to confirm or deny.
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 are transferring 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."
Our 8th is the first U.S. patent to combine the terms “blockchain” and “deep learning” in the legally relevant field of “Claim(s).” When we implement this patent, the first down-the-road blockbuster application will be for avoiding violations of the Foreign Corrupt Practices Act.