At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Abstract: In this article, we propose a complementary deep-neural-network (C-DNN) processor by combining convolutional neural network (CNN) and spiking neural network (SNN) to take advantage of them.
The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
Abstract: In this paper, a novel spatio-temporal self-constructing graph neural network (ST-SCGNN) is proposed for cross-subject emotion recognition and consciousness detection. For spatio-temporal ...
Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...
Researchers have developed a novel computational imaging system that integrates optical compression and deep learning to ...
AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest architectural shift ever to land in AMD’s upscaling ecosystem.
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