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ChatBots by Facebook

Recently, Facebook introduced chat bots and it received extensive coverage. In simple terms, chatbots are automated services powered by Artificial Intelligence and Machine Learning provided over chat interface to the users. In use, Big Data is employed for Machine Learning and Deep Learning to provide messaging services as Artificial Intelligence to the users.

Originally published here.

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Artificial Intelligence & Machine Learning

At recently concluded F8’s 2016 edition, Facebook showcased ChatBots over Messenger platform that are fuelled by Artificial Intelligence. Facebook claims that there exist endless possibilities with chatbots for providing AI services using Machine Learning and Big Data, whereby deep learning can be employed to learn more about users and provide them with automated services.

Messaging Platforms > Social Networks

Although, its presently more of a concept but reviewers are claiming that Facebook Chatbots may be the next big thing in tech as messaging platforms have surpassed Social Networks. In operation, Chatbots function based on rules, Artificial Intelligence and Machine Learning while using insights provided by Big Data embodied in technology.

Patents by Google

Historically, Google has already filed patents for Artificial Intelligence and Neural Networks. For example, one of the Google’s patent titled “Artificial intelligence system” that has been granted as US 8126832 relates to an artificial intelligence system and method for interpreting input from a user and generating a response to the user, wherein the input is converted into an array of concepts which are compared to a database of interrelated concepts and a response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method as claimed therein may be implemented in a number of electronic or computer devices to interact with humans or computer systems.

Patents by IBM

In essence, patents in field of Artificial Intelligence can boost innovation by improving productivity using Big Data. Similarly, IBM owns approx. 500 patents related to Artificial Intelligence. One of the examples is super-computer Watson. Google also owns patent on mobile machine learning and artificial intelligence that can challenge Facebook’s Chatbots.

AI & Machine Learning Books

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Rahul Dev, Partner at the law firm of Tech Corp Legal LLP, is a patent attorney and international technology business lawyer. Dev’s corporate law practice is aimed at integrating patents, technology laws, intellectual property rights, regulatory and security laws to provide services to Tech companies.

Patent Drafting Resources

  1. Patent Drafting and Writing Strong Patent Applications for Creating & Protecting Inventions

  2. Patent Application Writing Guide | Ultimate Cheat Sheet for Drafting Software Patents and Mobile App Patents

  3. Patents in MedTech – Online Healthcare & Medical Practice Management

  4. Patent Research & Analytics | Where Patent Analytics Are Headed – Harnessing Power of Patent Analytics for Patent Strategy

  5. Frequently asked questions (FAQs) | Drafting and Writing Provisional & Non-Provisional Patent Applications (Specifications)

  6. How and Why are Patents Important for Technology Companies & Startups In Asia?

  7. How can Patent Search help in determining Patentability of Invention?

  8. What is the meaning of Patent Pending Status?

  9. What are advantages of Filing a Provisional Patent Application?

  10. What is a Provisional Patent Application?

About Us – Indian Patent Law Firm

We, at Tech Corp Legal LLP, an Indian law firm serving global clients and patent attorneys worldwide, provide quality patent drafting services to inventors. Along with patent support services provided by GIP Research, we offer top quality patent specification drafting services including enforceable patent claims and high quality patent illustrations.

Our team of patent attorneys and technical patent experts has comprehensive experience in executing projects pertaining to international patent drafting, patent drafting services, drafting patent claims and patent applications, software and mobile app patents, provisional and non-provisional patents, patent searches, office action responses, etc.

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Rahul Dev is a Patent Attorney & International Business Lawyer practicing Technology & Corporate Laws. He is reachable at info (at) techcorplegal (dot) com & @rdpatentlawyer on Twitter

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Mobile applications, which are commonly referred to as mobile apps, are generally available for download at various app stores. Commercially, selling mobile apps is a highly profitable business model as developers can offer apps to multiple markets.

Originally published here.

Commercial success of mobile applications has resulted in an increasing interest to protect associated Intellectual Property Rights (IPR), such as, Patents, Trademarks, Copyrights, and the like.

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While analyzing the patentability of mobile applications, such apps have to be considered as software products, and then, corresponding patent eligibility and patentability can be determined by standard methods, such as, for example, conducting a patent prior art search to determine patentability and analyzing relevant search results.

With a view to determine patent eligibility or patentability of mobile applications, it is advisable to consider them as software products and / or computer-implemented inventions. The standard criteria to determine patentability include determining novelty, non-obviousness (inventive step), and industrial application. Subsequently, while drafting a patent application for mobile application, software products and / or computer-implemented inventions, it is a statutory requirement to provide a detailed description of one or more embodiments of the invention that is sufficient to enable a non-inventive person skilled in the relevant field of technology to put it into operation.

As a patent practitioner, it is crucial to ensure that while drafting patent application for computer-implemented inventions, patent claims are specifically defined and claims are not broad, which may lead to an assumption of claiming one or more abstract ideas, mathematical equations, laws of nature or mere discoveries.

A most feasible patent strategy is to file a provisional patent application, usually known as provisional utility patent application in US, which will give a timeline of 12 months to file a non-provisional patent application (referred to as complete patent application under Indian laws).

After the date of filing provisional patent application, the phrase “patent pending” can be used during product promotions.

Generally, patent attorneys and patent law firms provide low cost fee schedule to draft and file a provisional patent application, primarily because drafting provisional patent application consumes quite less billable hours as compared to a non-provisional patent application. This is so because as per requirements of patent laws, non-provisional patent application is required to include a full fledged set of claims, formal figures, corresponding description, whereas a provisional patent can be filed as a general disclosure of invention that may or may not include full set of claims and formal figures. Accordingly, it is common to include snapshots, sketches etc. with the provisional patent application protecting mobile applications.

Before deciding to file a patent for mobile application, it is advisable to consider various factors, such as, for example, but not limited to, budget and cost to file patent to protect a mobile application, patent eligibility of the invention, patentability of the software product, type of patent application to be filed, basics of utility patents, advantages of filing multiple provisional patent applications, and the like.

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Summary

Adovcate Rahul Dev Patent Trademark Attorney Corporate LawyerArticle Title

“Patent Protection of Mobile [Smartphone] Applications – Android, Apple, Microsoft & Blackberry Apps”

Author: Advocate Rahul Dev

Description

Mobile applications, which are commonly referred to as mobile apps, are generally available for download at various app stores. Commercial success of mobile applications has resulted in an increasing interest to protect associated Intellectual Property Rights (IPR), such as, Patents, Trademarks, Copyrights, and the like.

 

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