This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...
The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
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Infant-inspired framework helps robots learn to interact with objects
Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
A new study introduces ACA-SIM (atmospheric correction based on satellite–in situ matchup data), a neural-network-based atmospheric correction ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex ...
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