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Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

Attackers use a sophisticated delivery mechanism for RAT deployment, a clever way to bypass defensive tools and rely on the ...

The bug allows attacker-controlled model servers to inject code, steal session tokens, and, in some cases, escalate to remote ...

腾讯微信 AI 团队提出 WeDLM（WeChat Diffusion Language Model），通过在标准因果注意力下实现扩散式解码，在数学推理等任务上实现相比 vLLM 部署的 AR 模型 3 倍以上加速，低熵场景更可达 10 ...

Disclaimer: This column is merely a guiding voice and provides advice and suggestions on education and careers. The writer is ...

Transparent Tribe (APT36) is linked to new cyber-espionage attacks using malicious LNK files, adaptive RATs, and long-term ...

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Abstract: Ordered statistics decoding (OSD) can achieve near maximum likelihood (ML) decoding performance for BCH codes. However, Gaussian elimination (GE) that delivers the systematic generator ...