Two minds about lifelong learning: exploring hemispheric redundancy and specialization in neural models
Read the original at arxiv.org→arXiv:2608.19514v1 Announce Type: new Abstract: Persistent intelligent systems require the ability to learn continually, but current machine learning approaches face significant challenges in this area compared to...
Original headline: "In Two Minds about Lifelong Learning: Exploring Hemispheric Redundancy and Specialisation in Neural Models"
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- Aug 21, 04:00 UTC arXiv cs.LG lead source In Two Minds about Lifelong Learning: Exploring Hemispheric Redundancy and Specialisation in Neural Models