Computer vision---making machines interpret images---traveled from blocks-world edge finders to deep convolutional networks matching human benchmarks, and its history is AI's most complete case of representation learning's triumph. This article presents a narrative review of the field's canonical line: Roberts's 1963 m...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Computer vision---making machines interpret images---traveled from blocks-world edge finders to deep convolutional networks matching human benchmarks, and its history is AI's most complete case of representation learning's triumph. This article presents a narrative review of the field's canonical line: Roberts's 1963 m...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Federated learning---training a shared model across many devices that never surrender their data---inverted machine learning's architecture: instead of data to the model, the model to the data. This article presents a narrative review of that arc's canonical line: Dwork and colleagues' 2006 differential privacy, Dwork...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Federated learning---training a shared model across many devices that never surrender their data---inverted machine learning's architecture: instead of data to the model, the model to the data. This article presents a narrative review of that arc's canonical line: Dwork and colleagues' 2006 differential privacy, Dwork...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Deep generative models---neural networks that learn data's distribution and sample from it---matured from variational autoencoders' latent geometry to diffusion models' state-of-the-art images. This article presents a narrative review of that arc's canonical line: Kingma and Welling's 2013 auto-encoding variational Bay...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Deep generative models---neural networks that learn data's distribution and sample from it---matured from variational autoencoders' latent geometry to diffusion models' state-of-the-art images. This article presents a narrative review of that arc's canonical line: Kingma and Welling's 2013 auto-encoding variational Bay...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Graph neural networks---learning over relational, irregular structure by passing messages between nodes---generalized deep learning's grids to the graph: molecules, social networks, knowledge bases, and the web. This article presents a narrative review of that arc's canonical line: Sperduti and Starita's 1997 structure...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Graph neural networks---learning over relational, irregular structure by passing messages between nodes---generalized deep learning's grids to the graph: molecules, social networks, knowledge bases, and the web. This article presents a narrative review of that arc's canonical line: Sperduti and Starita's 1997 structure...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
This narrative review examines the current state of knowledge regarding Reinforcement Learning in Robotics within the broader context of Artificial Intelligence. We survey the theoretical foundations, methodological approaches, and key findings that have shaped the field, identifying major themes and tracing the evolut...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
This narrative review examines the current state of knowledge regarding Reinforcement Learning in Robotics within the broader context of Artificial Intelligence. We survey the theoretical foundations, methodological approaches, and key findings that have shaped the field, identifying major themes and tracing the evolut...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Reinforcement learning---learning what to do from reward and punishment rather than from instruction---unifies animal psychology, optimal control, and machine learning into one computational program, and its deep-learning era delivered the field's most visible artificial intelligence achievements. This article presents...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Reinforcement learning---learning what to do from reward and punishment rather than from instruction---unifies animal psychology, optimal control, and machine learning into one computational program, and its deep-learning era delivered the field's most visible artificial intelligence achievements. This article presents...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
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