When discussing patentable inventions with data scientists, I often hear them dismiss their inventions under arguments such as these: “We’re using the same tools as everyone else,” “Augmenting data for the training set is well known,” “A similar thing has been done for car-bumper design” (said by the designer of a churro-making machine), “Configuring the neural-network hyperparameters is trivial,” and worst of all, “It’s obvious.” Data scientists often believe that their accomplishments are not patentable, but in-depth exploration of their work often uncovers patentable ideas. I am referring to data scientists that use machine-learning (ML) tools to uncover intrinsic relationships within a large corpus of data. Other data scientists design and improve these ML tools, and their work may also result in patentable ideas, which is a topic for discussing another day.
Patent
- Enablement
- Fee Shifting
- Litigation
- Iancu Agrees Key USPTO ANPRM Proposals Should be Handled by Congress
- The Intersection of NILS, NFTS, AI Creations, Big Data, and the Metaverse
- Understanding IP Matters: AI Bots, Creators, and Copyright — Learning to Live Together
- Clause 8: Joff Wild on Founding IAM for Chief IP Officers and EU Commission’s Anti-SEP Crusade
- UKIPO Issues New Trademark Guidance on NFTs, the Metaverse and Virtual Goods
Recent Posts
- Iancu Agrees Key USPTO ANPRM Proposals Should be Handled by Congress
- The Intersection of NILS, NFTS, AI Creations, Big Data, and the Metaverse
- Understanding IP Matters: AI Bots, Creators, and Copyright — Learning to Live Together
- Clause 8: Joff Wild on Founding IAM for Chief IP Officers and EU Commission’s Anti-SEP Crusade
- UKIPO Issues New Trademark Guidance on NFTs, the Metaverse and Virtual Goods