The 2025 Nobel Prize in Physics was awarded to three scientists-Dr. John Clarke (Professor Emeritus, University of California ...
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NSLLMs: Bridging neuroscience and LLMs for efficient, interpretable AI systems
NSLLM bridges LLMs and neuroscience Large language models (LLMs) have become crucial tools in the pursuit of artificial ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The Cloud Native Computing Foundation (CNCF) announced the release of Kubernetes 1.35, named "Timbernetes", emphasizing its ...
Google's Android Runtime (ART) team has achieved a 18% reduction in compile times for Android code without compromising code ...
We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.
Abstract: The huge memory and computing costs of deep neural networks (DNNs) greatly hinder their deployment on resource-constrained devices with high efficiency. Quantization has emerged as an ...
Abstract: In this paper, a table lookup-based computing technique is proposed to perform convolutional neural network (CNN) inference without multiplication, and its FPGA implementation is ...
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