Abstract: Continual learning (CL) has emerged as an important machine learning paradigm for developing adaptive artificial intelligence systems capable of life long learning, while addressing neural ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
As a proxy for spending on data center construction, Super Micro Computer ($SMCI) provides real-time sentiment data on ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
1 King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom 2 School of Psychology, South China Normal University, Guangzhou, China Introduction: Grounded in ...
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