Delving into the complexities of machine learning patents? Discover Neil Kardos' expert strategies for crafting applications that surpass the ordinary. Our latest Practical Patents blog provides a nuanced approach to ensuring your machine learning innovations stand out in a crowded field. 🔗 To the full blog: https://ow.ly/M6Th50Qi5iM #MachineLearning #PatentInnovation #StrategicPatenting #PatentTips
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Join Neil Chapman and Rachael McNaughton today at #GIRO where they will discuss new techniques and enhancements within machine learning and practical guidance on how they can be implemented as part of streamlined pricing processes. #WTW #ICT #technology #machinelearning
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Senior Project Manager|Infosys|B.E(Hons) BITS, Pilani & PGD in ML & AI at IIITB & Master of Science in ML & AI at LJMU, UK | (Building AI for World & Create AICX)(Learn, Unlearn, Relearn)
This Machine Learning Research Introduces Premier-TACO: A Robust and Highly Generalizable Representation Pretraining Framework for Few-Shot Policy Learning Quick read: https://lnkd.in/gRxhDgf5 Paper: arxiv.org/abs/2402.06187 #ArtificialIntelligence #DataScience #computerscience
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Associate @ Morgan Lewis
8moGreat content, thanks for sharing! To the second point, those structural limitations (e.g., 50% confident this, 75% confident do that) can be a great differentiators, and prevent being rejected by "throwaway statements" in the prior art referencing possibilities that were likely obscure or peripheral to the reference anyway.