Author: Christoph Hewel
Patentability of AI – Part 6: Can a training dataset be patentable?
Overview: Three different aspects in context of AI model training are patentable: Generating training data for use in training the AI model; a. Generating [...
Patentability of AI – Part 5: Image data vs. text data – Does the EPO have an (un)justified bias?
Overview: If the invention concerns core AI, emphasize in the patent application that image processing is a primary application, add text processing as secondary...
Patentability of AI – Part 4: Requirements to the disclosure of the AI invention (Art. 83 EPC)
According to Art. 83 EPC, an application shall disclose the invention in a manner sufficiently clear and complete for it to be carried out...
Patentability of AI – Part 3: Claim directed to technical application field (“Applied AI” / Dimension 2)
Overview: Dimension 2: Claim directed to technical application field (“Applied AI”) Claim features contribute to the technical character of the AI invention, when they [&h...
Patentability of AI – Part 2: Claim directed to specific technical implementation (“Core AI” – Dimension 1)
Overview: Dimension 1: Claim directed to specific technical implementation AI model must be specifically adapted to this technical implementation by: AI design must be...
Patentability of AI – Part 1: General requirements in Europe (EPC / EPO)
In this blog post we will give some insights into the patentability of AI (artificial intelligence) inventions in Europe (according to EPO practice). Can...
AI Basics Part 4: About Computer Vision, NLP, unsupervised learning, predictive vs generative AI, LLMs, CNNs, and other fancy AI stuff
Which tasks can be performed by AI? Generally, the probably most prominent AI applications include image processing (i.e. computer vision) and natural language processing...
AI Basics Part 3: How can the AI model (neural network) learn from data?
How can an (AI-) model learn such complex and abstract tasks, like distinguishing an American tourist from a Persian cat? This is done by...
AI Basics Part 2: How does the core of an AI model (neural network) look like?
Overview: An AI-based software program principally consists of a mathematical model with trained parameters. The mathematical model typically has the form of an artificial...
AI Basics Part 1: Artificial intelligence (AI) and its relation to Machine Learning (ML) and Deep Learning (DL)
What is actually “AI” and how is it related to other fancy stuff like “machine learning” and “deep learning”? Let’s face the beast! AI […]...