Posts Tagged: "automation"

The USPTO’s Increased Automation of Patent Assignments is Good for the Patent System

After a patent application is filed with the USPTO, it gets assigned to an art unit and a patent examiner in that art unit who is responsible for reviewing the application, doing a prior art search, and determining whether to grant a patent…. In the past, this process was manual. People would review patent applications to assign classification codes, and then other people would determine the art unit and examiner to be assigned using the classification codes. More recently, the USPTO is automating the assignment process. The assignment process is a great candidate for automation using machine learning, because large amounts of training data are available to train a machine learning model. Automating the assignment process has several advantages: lower costs, faster processing, and more consistent and likely better assignments of applications to art units and examiners.

Improving Speed and Quality Using Automation for Patent Application Drafting

Patent application drafters are front-line participants to some of the most amazing innovations in the world today. A recent WIPO paper on Artificial Intelligence (AI) outlines how we are filing for patents on knowledge automation at an increasing rate. Our current tools, however, do not reflect the innovations with which we are so familiar. Historically—and to this day—the process of drafting a patent application has been a manual task. It is a task that takes, on average, 40 hours of a highly-skilled patent application drafter’s time. Anyone who has drafted any volume of patent applications for a client knows that the drafting process typically involves the use of boilerplate language and substantial copy and paste operations. While performing these repetitive tasks, we have all thought: “there must be a better way.” While we find ourselves surprised by the lack of tools to help with patent application drafting, we recognize the challenges that must be overcome. Different attorneys, firms, and clients often have different styles and preferences when it comes to the way patent applications are drafted. Thus, any automation tools would necessarily need to handle these different styles and preferences. But these challenges notwithstanding, the days of drafting a patent application completely manually by a single patent drafter are coming to an end.

Trump picks automation supporting fast-food CEO Andrew Puzder for Labor Secretary

Automation technology in the restaurant industry, such as interactive kiosks that replace waiters by taking customer orders, is both a cost-cutting move and an investment in improved customer service, Puzder argues, citing the speed, accuracy and convenience of such technologies… Overall, Puzder doesn’t seem to want to replace his workers with machines so much as he would like to see an end to government regulations that increase labor costs. This echoes an anti-regulatory regime that looks to be shaping up with choices like climate change-critic Oklahoma Attorney General Scott Pruitt to head up the U.S. Environmental Protection Agency (EPA) and Obamacare-critic Rep. Tom Price (R-GA) to serve as the U.S. Secretary for Health and Human Services.

Amazon.com seeks patent on sense and avoid for automated vehicles

The research and development activities at Amazon have been strong in recent years and in 2014, the company placed 59th among all companies earning patents from the U.S. Patent and Trademark Office, receiving 741 in that year; this was nearly 40 percent greater than the number of U.S. patents earned by Amazon in the previous year. During the third quarter of 2015, Amazon earned 321 U.S. patents, a quarterly pace of innovation that would far outstrip its 2014 totals… Amazon has also jumped into the world of autonomous vehicle R&D with the filing of U.S. Patent Application No. 20150277440, entitled Sense and Avoid for Automated Mobile Vehicles. This system, which could be incorporated on air, water or ground-based vehicles, is meant to keep unmanned vehicles from colliding with each other, a technology which has been heavily sought by the drone community in response to concerns by federal regulators.

Automation will cause worker displacement but will also create jobs

Google, now Alphabet Inc., is one of the world’s most valuable companies but employs only a tenth of the number of workers of past giants of industry like AT&T and General Motors did about a half century ago. But we need to point out some obvious problems with the theory that technological innovation is dealing irreparable harm to the American workforce. Simply stated, you cannot ignore the reality that technological innovation is a net creator of jobs, from those who create the innovation, to those who market and sell the innovations, to those who install and maintain the innovations. Focusing only on the low income workers who will be displaced by robotics, for example, creates an inaccurate picture that significantly distorts the workplace realities. Further, it is those innovation based jobs that are the high paying jobs that our economy most wants and which will pay livable wages.