Current quantum computers possess only hundreds to thousands of qubits, and this research aims to make those qubits more ...
A first-of-its-kind benchmark from the Technical University of Munich compares algorithms for optimizing industrial robot ...
A new hybrid quantum-classical algorithm tackles the NP-hard minimum distance problem for quantum error-correcting codes, ...
Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
The Muon optimizer, a community effort including scientists at the Simons Foundation’s Flatiron Institute, is poised to be the new standard in AI training efficiency. The data centers that train and ...
Abstract: Optimization plays a central role in multitask learning (MTL), yet widely used optimizers such as Adam and AdamW assume uniform parameter updates across tasks, often leading to optimization ...
Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. TikTok announced on Jan. 22, 2026, that it has formed TikTok ...
As social media platforms increasingly rely on algorithms to moderate content, online communities are changing how they speak to evade their censors. Sensitive or suggestive topics such as suicide and ...
Abstract: Monitoring coupler parameters in underwater wireless power transfer (UWPT) systems is crucial for improving the system transmission characteristics. Due to the eddy current effect, the ...
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