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    <title>Machine-Learning on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/machine-learning/</link>
    <description>Recent content in Machine-Learning on Tenu Tech Brief</description>
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      <title>Linear Reservoir: A Diagonalization-Based Optimization</title>
      <link>https://cluster-site.onrender.com/posts/linear-reservoir-a-diagonalization-based-optimization/</link>
      <pubDate>Tue, 24 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/linear-reservoir-a-diagonalization-based-optimization/</guid>
      <description>• Diagonalize recurrent matrix to transform reservoir dynamics into eigenbasis, eliminating costly matrix multiplication. • Achieves per-step computational complexity reduction fro</description>
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      <title>RA-QA: Towards Respiratory Audio-based Health Question Answering</title>
      <link>https://cluster-site.onrender.com/posts/ra-qa-towards-respiratory-audio-based-health-question-answering/</link>
      <pubDate>Tue, 24 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ra-qa-towards-respiratory-audio-based-health-question-answering/</guid>
      <description>• RA-QA dataset: 7.5M QA pairs, 60+ attributes, 3 question types. • Curated 11 respiratory audio datasets, first multimodal QA resource bridging audio and natural language. • Bench</description>
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      <title>Trojans in Artificial Intelligence (TrojAI) Final Report</title>
      <link>https://cluster-site.onrender.com/posts/trojans-in-artificial-intelligence-trojai-final-report/</link>
      <pubDate>Mon, 23 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/trojans-in-artificial-intelligence-trojai-final-report/</guid>
      <description>• IARPA TrojAI program tackles AI trojan backdoor vulnerability in modern AI systems. • Found detection via weight analysis and trigger inversion techniques to identify hidden back</description>
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      <title>Simple Baselines are Competitive with Code Evolution</title>
      <link>https://cluster-site.onrender.com/posts/simple-baselines-are-competitive-with-code-evolution/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/simple-baselines-are-competitive-with-code-evolution/</guid>
      <description>• Code evolution uses LLMs to mutate code, yet lacks baseline comparisons. • Authors test two simple baselines across math bounds, agentic scaffolds, and ML contests. • Baselines m</description>
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      <title>DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting</title>
      <link>https://cluster-site.onrender.com/posts/distributedestimator-distributed-training-of-quantum-neural-networks-via-circuit-cutting/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/distributedestimator-distributed-training-of-quantum-neural-networks-via-circuit-cutting/</guid>
      <description>• Circuit cutting splits large quantum circuits into smaller subcircuits, enabling classical reconstruction of expectation values. • Prior studies focused on subcircuit counts and</description>
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      <title>Teaching machines to quiet the noise in quantum computers</title>
      <link>https://cluster-site.onrender.com/posts/teaching-machines-to-quiet-the-noise-in-quantum-computers/</link>
      <pubDate>Mon, 02 Feb 2026 06:05:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/teaching-machines-to-quiet-the-noise-in-quantum-computers/</guid>
      <description>• IIT Madras team uses machine learning to pinpoint noise sources in quantum computers. • Neural networks trained on synthetic data predict noise features with minimal accuracy los</description>
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    <item>
      <title>Introducing Waypoint-1: Real-time interactive video diffusion from Overworld</title>
      <link>https://cluster-site.onrender.com/posts/introducing-waypoint-1-real-time-interactive-video-diffusion-from-overworld/</link>
      <pubDate>Tue, 20 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/introducing-waypoint-1-real-time-interactive-video-diffusion-from-overworld/</guid>
      <description>• Waypoint‑1 is Overworld&amp;rsquo;s real‑time interactive video diffusion model, controllable via text, mouse, and keyboard. • Trained on 10,000 hours of diverse video‑game footage with co</description>
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    <item>
      <title>Detecting faulty deployments: Our journey from unlabeled data to supervised learning</title>
      <link>https://cluster-site.onrender.com/posts/detecting-faulty-deployments-our-journey-from-unlabeled-data-to-supervised-learning/</link>
      <pubDate>Tue, 03 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/detecting-faulty-deployments-our-journey-from-unlabeled-data-to-supervised-learning/</guid>
      <description>• Deployments drive 70% of incidents, making rapid fault detection critical for modern DevOps. • Datadog&amp;rsquo;s Automatic Faulty Deployment Detection uses APM telemetry to spot problema</description>
    </item>
    <item>
      <title>Enhancing Neural Network Training at Yelp: Achieving 1,400x Speedup with WideAndDeep</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-neural-network-training-at-yelp-achieving-1400x-speedup-with-wideanddeep/</link>
      <pubDate>Wed, 22 Jan 2025 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-neural-network-training-at-yelp-achieving-1400x-speedup-with-wideanddeep/</guid>
      <description>• Reduced pCTR model training from 75 hours/epoch on 450M samples to under 1 hour on 2B samples. • Built ArrowStreamServer, an in‑house low‑latency Parquet streaming library, repla</description>
    </item>
    <item>
      <title>Data Pipeline Challenges of Privacy-Preserving Federated Learning</title>
      <link>https://cluster-site.onrender.com/posts/data-pipeline-challenges-of-privacy-preserving-federated-learning/</link>
      <pubDate>Thu, 05 Dec 2024 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/data-pipeline-challenges-of-privacy-preserving-federated-learning/</guid>
      <description>• PPFL hides raw data from training org, preventing quality assessment and format validation. • Traditional preprocessing steps are often omitted in PPFL research, focusing solely</description>
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    <item>
      <title>Machine Learning in Content Moderation at Etsy</title>
      <link>https://cluster-site.onrender.com/posts/machine-learning-in-content-moderation-at-etsy/</link>
      <pubDate>Tue, 06 Aug 2024 11:15:03 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/machine-learning-in-content-moderation-at-etsy/</guid>
      <description>• Etsy uses supervised ML to detect policy violations across 100M items. • Trust &amp;amp; Safety team combines community reports with automated removal. • Over 100,000 violations flagged</description>
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      <title>From Image Classification to Multitask Modeling: Building Etsy&#39;s Search by Image Feature</title>
      <link>https://cluster-site.onrender.com/posts/from-image-classification-to-multitask-modeling-building-etsys-search-by-image-feature/</link>
      <pubDate>Fri, 26 May 2023 20:32:49 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/from-image-classification-to-multitask-modeling-building-etsys-search-by-image-feature/</guid>
      <description>• Etsy launches image-based search on mobile, letting users find similar items via photos. • Feature uses machine‑learning embeddings to represent 100M+ listings in low‑dimensional</description>
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    <item>
      <title>Modeling Sequences with Quantum States</title>
      <link>https://cluster-site.onrender.com/posts/modeling-sequences-with-quantum-states/</link>
      <pubDate>Thu, 16 Mar 2023 03:18:37 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/modeling-sequences-with-quantum-states/</guid>
      <description>• Introduces quantum-inspired methods for modeling sequential data via tensor networks. • Uses bipartite graph representations of matrices to visualize linear maps. • Applies quant</description>
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      <title>Understanding Entanglement With SVD</title>
      <link>https://cluster-site.onrender.com/posts/understanding-entanglement-with-svd/</link>
      <pubDate>Thu, 16 Mar 2023 03:18:37 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/understanding-entanglement-with-svd/</guid>
      <description>• SVD decomposes any matrix M into UDV†, revealing singular values and vectors. • Singular values, arranged in D, indicate the importance of each concept in M. • Left and right sin</description>
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