Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Fat loss improves metabolism and heart health, reducing the risk of chronic conditions. Muscle tissue burns more calories than fat tissue, boosting metabolism even at rest. Lowering body fat, ...
Abstract: Time-series forecasting (TSF) is becoming ubiquitous in numerous real-world applications. The loss function is a vital component of time-series forecasting models based on deep learning. The ...
AZoOptics on MSN
End-to-end differentiable design of geometric waveguide displays
A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...
The start-up Function will send practically anyone to a lab for extensive medical testing, no physical required. Is that a good thing? By Kristen V. Brown As Kimberly Crisp approached middle age, ...
For much of 2025, a simple rule held: if a new token hit the market, its price probably went down. Data from Memento Research, which tracked 118 token generation events last year, shows that roughly ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results