This installment of Computer’s series highlighting the work published in IEEE Computer Society journals comes from the IEEE Transactions on Computers
Abstract — NEURAL networks are computational models of the brain. These networks are excellent at so...
Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators. The...
With the continuous development of deep learning, the scientific community continues to propose new ...
This installment of Computer's series highlighting the work published in IEEE Computer Society journ...
The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that dea...
This installment of Computer’s series highlighting the work published in IEEE Computer Society journ...
SpiNNaker is a massively parallel architecture with more than a million processing cores that can mo...
The sustainability of ever more sophisticated artificial intelligence relies on the continual develo...
He H, Chawla N, Chen H, et al. Editorial IEEE Transactions on Neural Networks and Learning Systems 2...
Recently, researchers have shown an increased interest in more biologically realistic neural network...
Brain is a very efficient computing system. It performs very complex tasks while occupying about 2 l...
The automatic design of intelligent systems has been inspired by biology, specifically the operation...
Classical Neural Networks consume many resources when they are implemented directly in hardware; but...
International audienceInspired from the brain, neuromorphic computing would be the right alternative...
A sustainable computing scenario demands more energy-efficient processors. Neuromorphic systems mimi...
Abstract — NEURAL networks are computational models of the brain. These networks are excellent at so...
Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators. The...
With the continuous development of deep learning, the scientific community continues to propose new ...
This installment of Computer's series highlighting the work published in IEEE Computer Society journ...
The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that dea...
This installment of Computer’s series highlighting the work published in IEEE Computer Society journ...
SpiNNaker is a massively parallel architecture with more than a million processing cores that can mo...
The sustainability of ever more sophisticated artificial intelligence relies on the continual develo...
He H, Chawla N, Chen H, et al. Editorial IEEE Transactions on Neural Networks and Learning Systems 2...
Recently, researchers have shown an increased interest in more biologically realistic neural network...
Brain is a very efficient computing system. It performs very complex tasks while occupying about 2 l...
The automatic design of intelligent systems has been inspired by biology, specifically the operation...
Classical Neural Networks consume many resources when they are implemented directly in hardware; but...
International audienceInspired from the brain, neuromorphic computing would be the right alternative...
A sustainable computing scenario demands more energy-efficient processors. Neuromorphic systems mimi...
Abstract — NEURAL networks are computational models of the brain. These networks are excellent at so...
Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators. The...
With the continuous development of deep learning, the scientific community continues to propose new ...
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