Researchers have demonstrated that the theoretically optimal scaling for magic state distillation—a critical bottleneck in ...
Abstract: Training-based algorithms significantly outperform training-free methods in terms of recognition performance for steady-state visual-evoked potential (SSVEP)-based brain–computer Interfaces ...
Abstract: Capturing complex intervariable relationships is crucial for anomaly detection for multivariate time-series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to ...
SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...
Meta Platforms and its partner raised $27 billion in private debt to fund the construction of its Hyperion data center in Louisiana. Some of the world’s biggest financial institutions are backing the ...
WASHINGTON, Oct 16 (Reuters) - The chair of the House Select Committee on China said Thursday that a licensing agreement for use of the TikTok algorithm, as part of a deal by China-based ByteDance to ...