[HTML][HTML] Neuroscience-inspired artificial intelligence
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …
In more recent times, however, communication and collaboration between the two fields has …
An introductory review of deep learning for prediction models with big data
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and
machine learning. Recent breakthrough results in image analysis and speech recognition …
machine learning. Recent breakthrough results in image analysis and speech recognition …
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb… - ar**s. We investigate two setups-ICL with flipped labels and ICL with …
Human-like systematic generalization through a meta-learning neural network
The power of human language and thought arises from systematic compositionality—the
algebraic ability to understand and produce novel combinations from known components …
algebraic ability to understand and produce novel combinations from known components …
[HTML][HTML] Modern language models refute Chomsky's approach to language
ST Piantadosi - From fieldwork to linguistic theory: A tribute to …, 2023 - books.google.com
Modern machine learning has subverted and bypassed the theoretical framework of
Chomsky's generative approach to linguistics, including its core claims to particular insights …
Chomsky's generative approach to linguistics, including its core claims to particular insights …
Building machines that learn and think like people
Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …
and think like people. Many advances have come from using deep neural networks trained …
[PDF][PDF] Deep Learning: A Critical Appraisal
G Marcus - arxiv preprint arxiv:1801.00631, 2018 - indexinvestorportfolios.com
Although deep learning has historical roots going back decades, neither the term" deep
learning" nor the approach was popular just over five years ago, when the field was …
learning" nor the approach was popular just over five years ago, when the field was …
[BOOK][B] Surfing uncertainty: Prediction, action, and the embodied mind
A Clark - 2015 - books.google.com
How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …
create and understand ideas, theories and concepts? How does mere matter give rise to all …
Inductive biases for deep learning of higher-level cognition
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …