Artificial Intelligence (AI) goes back to the 1950’s, as defined by Minsky & McCarthy, to be “any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task”. This being the case, a lot has happened in almost 70 years since that statement. The history of AI can be easily researched; however, a reasonable definition can also be extracted from examples of how AI is being used and what AI is being used for.
POSTED BY John Cronin AT 6:28 P.M. Oct 17, 2018TAGS: Innovation | Invention | John Cronin | Process | Strategy | Artificial Intelligence
The day has come where large innovation labs built by companies may not be needed. Why spend hundreds of millions to billions of dollars on a physical structure, staffed with creative people and equipped with the best tools, when this all can be virtualized? In this context, "Virtualized" does not mean remote workers, but taking the innovation process and virtualizing it with AI tools and specialized, data analytic capability and inventors. These inventors don't even have to have domain knowledge, as experts can be hired by the hour from the crowd.
POSTED BY John Cronin AT 12:46 P.M. Oct 17, 2018TAGS: Innovation | Invention | John Cronin | Strategy | Artificial Intelligence
An enlightened IT director needs to see that AI will be a huge cost savings and quality boost to the organization, and needs to guide the AI app developers, all while maintaining the security and robustness of the existing enterprise software and database. That is a larger skill set than most IT directors may have. But, to thrive in the new world of AI, the IT director should not use the security and robustness of the existing enterprise software and database as a blockade to innovation. The IT director must now play a more innovative role him/herself.
POSTED BY John Cronin AT 11:37 A.M. Oct 9, 2018TAGS: Innovation | John Cronin | Data Security | Artificial Intelligence
In a previous post, the question of legal changes necessary for artificial intelligence (AI) to invent was discussed. But what about practical changes? How will AI change inventing in a world in which its inventions are granted patent protection?
POSTED BY Chris Huffines AT 2:56 P.M. Aug 21, 2018TAGS: Chris Huffines | Invention | Regulation and Legislation | Artificial Intelligence
It has been obvious for a while now that artificial intelligence is not only going to assist inventors with more robust research and analysis tools, but will soon be inventing on a large scale itself. However, currently patent law does not recognize non-humans as inventors. This will slow down innovation and is an ultimately futile task. Therefore, the law should be changed to allow AI to be recognized as an inventor.
POSTED BY Chris Huffines AT 11:44 P.M. Jul 31, 2018TAGS: Chris Huffines | Invention | Regulation and Legislation | Artificial Intelligence
On May 9-11, ipCapital Group held its 14th Annual Thought Leadership Conference. This year’s theme was The RenAIssance of IP. The conference was filled with provocative discussions revolving around hot topics in intellectual property (IP). Following the full day conference, an Artificial Intelligence (AI) IP Tools Workshop was held, during which two highly regarded AI startups presented demos.
POSTED BY ipCG Team AT 1:29 P.M. June 7, 2018TAGS: Adam Bulakowski | IAM | ipCG Team | John Cronin | Strategy | Artificial Intelligence
John Cronin, Managing Director and Chairman, and Jacob Rosen, Chief Executive Officer and Matt Osman, Chief Technology Officer of Legit are co-authors of "Artificial Intelligence and the Future of Invention Disclosures". Intro: Artificial Intelligence (AI), when implemented correctly, uses humans’ biggest weakness to its advantage: the management and analysis of huge quantities of data. Confronted with several million documents all containing different information, a legal practitioner's first goal will be to reduce that to a reasonable level. That is often what previous workflow technology has been previously used for, particularly in the legal realm. Document management systems filter by date, author and keywords, RSS feeds show only news stories pertaining to an attorney’s current cases and even the “find” function on PDFs documents help you ignore most of the target document. The performance of these tools does not improve when the amount of data it is tasked with handling increases, in fact in most cases it declines.
POSTED BY John Cronin AT 2:59 P.M. April 6, 2018TAGS: Innovation | John Cronin | Process | Strategy | Artificial Intelligence
Artificial Intelligence is no longer the stuff of science fiction. It's being used in a wide variety of industries to drive innovation and efficiency. In fact, Microsoft has just identified AI as a top priority and expects it to drive business in the future. In the world of Prior Art Searching, the industry is just beginning to move past keyword searching and semantic processing tools. Here at ipCG we recently began utilizing AI to improve the quality and relevance of search results that support FTO Opinions and Market Clearance Reports.
POSTED BY Ken Statler AT 12:51 P.M. September 29, 2017TAGS: Innovation | Process | Strategy | Artificial Intelligence