This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
As AI workloads scale, data center infrastructure faces mounting pressure from power demand, grid constraints and cooling ...
A year-end look at the energy stories that will shape 2026—from AI-driven power demand to clean energy, tariffs, and the ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Abstract: Existing neural network-based surrogate modeling methods for transient stability constrained-optimal power flow (TSC-OPF) lack certifications in the presence of unseen perturbations or ...
XDA Developers on MSN
Apple has a sleeper advantage when it comes to local LLMs
Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...
Blackstone Energy Transition Partners will become the majority owner of the combined company, acquiring ownership interests in MPS currently held by Centerbridge MPS was founded in 1986 and PGC was ...
Abstract: Federated Graph Learning (FGL) combines the powerful graph data modeling capabilities of Graph Neural Networks (GNNs) with the distributed processing requirements of intelligent ...
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