Experiments Post date April 8, 2025 Post author By Machine Ethics Post categories In computational-efficiency, computer-vision-(cv), early-bird-ticket-hypothesis, language-models, model-optimization, natural-language-processing, transformer-models, vision-transformers
How We Found Early-Bird Subnetworks in Transformers Without Retraining Everything Post date April 8, 2025 Post author By Machine Ethics Post categories In computational-efficiency, computer-vision-(cv), early-bird-ticket-hypothesis, language-models, model-optimization, natural-language-processing, transformer-models, vision-transformers
Transformer Training Optimization via Early-Bird Ticket Analysis Post date April 8, 2025 Post author By Machine Ethics Post categories In computational-efficiency, computer-vision-(cv), early-bird-ticket-hypothesis, language-models, model-optimization, natural-language-processing, transformer-models, vision-transformers
From Submesoscales to Global Impact: Oceananigans Powers Climate Predictions Post date March 31, 2025 Post author By Oceanography: Everything You Need to Study the Ocean Post categories In climate-modeling, climate-prediction, climate-uncertainty, computational-efficiency, data-assimilation, earth-system-observations, high-resolution-simulation, oceananigans.jl
Scaling the Depths: Oceananigans Achieves Record-Breaking Climate Simulation Performance Post date March 31, 2025 Post author By Oceanography: Everything You Need to Study the Ocean Post categories In climate-modeling, climate-prediction, climate-uncertainty, computational-efficiency, data-assimilation, earth-system-observations, high-resolution-simulation, oceananigans.jl
From Code to Currents: Julia and GPU Magic Transform Ocean Modeling Efficiency Post date March 31, 2025 Post author By Oceanography: Everything You Need to Study the Ocean Post categories In climate-modeling, climate-prediction, climate-uncertainty, computational-efficiency, data-assimilation, earth-system-observations, high-resolution-simulation, oceananigans.jl
From 488m to 10km: Oceananigans Sets New Standards in Climate Science Post date March 31, 2025 Post author By Oceanography: Everything You Need to Study the Ocean Post categories In climate-modeling, climate-prediction, climate-uncertainty, computational-efficiency, data-assimilation, earth-system-observations, high-resolution-simulation, oceananigans.jl
How Oceananigans.jl Makes High-Resolution Climate Simulations Affordable Post date March 31, 2025 Post author By Oceanography: Everything You Need to Study the Ocean Post categories In climate-modeling, climate-prediction, climate-uncertainty, computational-efficiency, data-assimilation, earth-system-observations, high-resolution-simulation, oceananigans.jl
The Trials and Triumphs of DPFL Research Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Why Smart Power Systems Still Have Big Problems to Solve Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Why Some AI Power Flow Models Are Faster Than Others Post date February 19, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Can DPFL Methods Improve Power Grid Predictions? Here’s What We Found Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Lost in Linearization: Why Some DPFL Methods Just Can’t Keep Up Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Electric Truths: What 16 Power Grid Models Reveal About DPFL Post date February 18, 2025 Post author By Linearization Technology Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
When Power Flow Models Go Off the Rails Post date February 16, 2025 Post author By Linearization Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
Why Current Power Flow Models May Not Work in Real-World Scenarios Post date February 16, 2025 Post author By Linearization Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
How 44 Different Algorithms Compare in Power Flow Optimization Post date February 16, 2025 Post author By Linearization Post categories In computational-efficiency, data-driven-linearization, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-grid-modeling, power-systems-analysis
New Study Reveals the Best AI Models for Power Grid Optimization Post date February 16, 2025 Post author By Linearization Post categories In computational-efficiency, data-driven-linearization, hackernoon-top-story, linear-power-flow-models, machine-learning, model-identification, power-flow-simulations, power-systems-analysis
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