In this era of the Fourth Industrial Revolution, AI is a technical field of the utmost importance. Deep learning and natural language processing (NLP) technologies are key to the progress of AI. AI is a high-tech, fast-evolving technical field. AI is converging with numerous fields (health care, automotive, finance, commerce, security, etc.), and its applications continue to grow and expan
Given the nature of AI technology, medical device patents require the services of patent attorneys with proven expertise in artificial intelligence, who have a profound understanding and extensive experience in the field.
What is AI (Artificial Intelligence)?
In this era of the Fourth Industrial Revolution, AI is a technical field of the utmost importance. Deep learning and natural language processing (NLP) technologies are key to the progress of AI. AI is a high-tech, fast-evolving technical field. AI is converging with numerous fields (health care, automotive, finance, commerce, security, etc.), and its applications continue to grow and expand.
Given the nature of AI technology, medical device patents require the services of patent attorneys with proven expertise in artificial intelligence, who have a profound understanding and extensive experience in the field.
The BLT strategy for AI patents
BLT patent attorneys frequent AI seminars and conferences to build their current knowledge in the field, and always have a keen eye trained on the latest technology, product and service trends.
By working with upwards of 500 startups, we have built experience in a vast range of industrial fields.
We can boast the ability to interpret and analyze AI modeling-capable data in each industrial field in-house.
We have worked with upwards of 100 AI technology firms, accumulating know-how and tips for successful AI patent grants.
The BLTstrategy for AI patents
BLT patent attorneys frequent AI seminars and conferences to build their current knowledge in the field, and always have a keen eye trained on the latest technology, product and service trends.
By working with upwards of 500 startups, we have built experience in a vast range of industrial fields. We can boast the ability to interpret and analyze AI modeling-capable data in each industrial field in-house.
We have worked with upwards of 100 AI technology firms, accumulating know-how and tips for successful AI patent grants.
Identifying originality - BLT's secret to AI patent grants
Machine learning algorithms are essential to the AI development process, and a range of open source libraries and frameworks are available.
Originality is essential to patent grants, and in most cases the originality of AI technology must be discovered in the feature extraction process which precedes the learning step in machine learning models.
Originality may also be found in the selection of specific machine learning algorithms, or in fitting or tuning such algorithms according to the purpose of the product or service in question. However, such approaches may not be available if deep learning algorithms are involved. In such cases, originality must be identified in data preprocessing for training data set acquisition, or in applying product or service level deductions.
Simply substituting human intelligence for artificial intelligence in general information processing will not ensure patentability. An approach that is entirely different from that of human cognition or perception is required for AI transformation, starting with the types of data collected.
Machine Learning Architecture
source: Gartner(2017)
Identifying originality - BLT's secret to AI patent grants
Machine learning algorithms are essential to the AI development process, and a range of open source libraries and frameworks are available.
Originality is essential to patent grants, and in most cases the originality of AI technology must be discovered in the feature extraction process which precedes the learning step in machine learning models.
Originality may also be found in the selection of specific machine learning algorithms, or in fitting or tuning such algorithms according to the purpose of the product or service in question.
However, such approaches may not be available if deep learning algorithms are involved. In such cases, originality must be identified in data preprocessing for training data set acquisition, or in applying product or service level deductions.
Simply substituting human intelligence for artificial intelligence in general information processing will not ensure patentability.
An approach that is entirely different from that of human cognition or perception is required for AI transformation, starting with the types of data collected.