Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes
Visitors tour the Nvidia booth during the Nvidia Product Showcase at Computex 2026 in Taipei on June 3, 2026. AFP via Getty Images/I-Hwa Cheng A preprint published June 24, 2026, by 13 researchers at ...
Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
Abstract: Quaternion-based machine learning algorithms have emerged as a promising candidate for four dimensional (4D) signal processing, which utilize 4D signal dimensions’ correlations for ...
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