{"slug": "kalman-delta-networks-uncertainty-aware-associative-memory", "title": "Kalman Delta Networks: Uncertainty-aware Associative Memory", "summary": "Researchers introduced Kalman Delta Networks (KDN), a linear-attention architecture that models associative memory as an online Bayesian filtering problem, using a Kalman filter to update memory with uncertainty-aware gating. The method, detailed in a paper, targets frontier language models to improve long-context inference and constant-memory decoding by addressing overwrite decisions before full context is known.", "body_md": "Linear attention is increasingly used in frontier language models for efficient long-context inference and constant-memory decoding. Its fixed-size recurrent memory, however, requires an online decision at each token: what to write and how strongly to overwrite existing associations before knowing w", "url": "https://wpnews.pro/news/kalman-delta-networks-uncertainty-aware-associative-memory", "canonical_source": "https://aiflash.com/news/116094/", "published_at": "2026-09-09 04:00:04+00:00", "updated_at": "2026-09-09 04:20:43.919001+00:00", "lang": "en", "topics": ["machine-learning", "large-language-models", "ai-research"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/kalman-delta-networks-uncertainty-aware-associative-memory", "markdown": "https://wpnews.pro/news/kalman-delta-networks-uncertainty-aware-associative-memory.md", "text": "https://wpnews.pro/news/kalman-delta-networks-uncertainty-aware-associative-memory.txt", "jsonld": "https://wpnews.pro/news/kalman-delta-networks-uncertainty-aware-associative-memory.jsonld"}}