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LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: In this article, we present a model-free output feedback (OPFB) Q-learning algorithm to find the optimal Nash equilibrium strategy for the decentralized control problem (DCP) of nonzero-sum ...
The Department of Health and Human Services' (HHS') health tech arm wants to hear from the healthcare industry about ways to speed up the adoption of artificial intelligence in medical treatment. The ...
TL;DR: Valve's Steam Machine, a PC-console hybrid launching next year, targets 4K 60FPS but can output 4K at 120Hz via HDMI 2.0 with reduced color quality and no HDR. Equipped with DisplayPort 1.4, it ...
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
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