Has AI gotten too big to fail? How the U.S. government is backstopping the tech boom.
marketwatch.com·20h
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End-to-End OCR with Vision Language Models
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Unsupervised Learning NO. 506
newsletter.danielmiessler.com·2d
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LLMs Are Randomized Algorithms
towardsdatascience.com·1d
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Risky Bulletin: Europol takes down Elysium, VenomRAT, and Rhadamanthys infrastructure
news.risky.biz·16h
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Digital Nature Revisited: A Ten-Year Synthesis of Art, Technology, and the Evolution of "Nature": Reimagining Post-Truth Ecologies Through Art, Algorithm, and A...
arxiv.org·2d
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Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
arxiv.org·1d
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Accelerating Secure, Interoperable Identity Collaboration: The Trade Desk and Databricks Partnership
databricks.com·1d
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How Lightricks trains video diffusion models at scale with JAX on TPU
cloud.google.com·3d
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Mitigating Negative Flips via Margin Preserving Training
arxiv.org·2d
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Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human Feedback
arxiv.org·14h
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FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD
arxiv.org·1d
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High-dimensional Bayesian filtering through deep density approximation
arxiv.org·3d
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Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
arxiv.org·3d
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When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
arxiv.org·3d
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