From 1976 To Today, Dhrystone Benchmarks Reveal How Far CPUs Have Come
hothardware.com·2d
👩💻Programming
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(PR) Tachyum Intros 2 nm Prodigy Universal Procesor Targeting Improved AI Rack Efficiency
techpowerup.com·8h
🤖AI
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Power high performance RAG for GenAI with HPE Alletra Storage MP + Milvus
milvus.io·3d
📈Machine Learning
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Show HN: I built a tool to create custom OCR APIs in minutes, no training needed
👩💻Programming
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Presentation: Achieving Precision in AI: Retrieving the Right Data Using AI Agents
infoq.com·5d
📈Machine Learning
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A Multi-Criterion Approach to Smart EV Charging with CO2 Emissions and Cost Minimization
arxiv.org·1d
📈Machine Learning
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From Quantum Annealing to Alloy Discovery: Towards Accelerated Design of High-Entropy Alloys
arxiv.org·1d
🤖AI
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The Merge of Data Science and SEO: Building Smarter Search Strategies with AI
📈Machine Learning
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Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization
arxiv.org·1d
📈Machine Learning
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Automated Anomaly Detection in Blockchain Transactions via Adversarial Graph Neural Networks (AGNN)
📈Machine Learning
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Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
arxiv.org·21h
📈Machine Learning
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FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
arxiv.org·2d
📈Machine Learning
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Coherence Mechanisms for Provable Self-Improvement
arxiv.org·21h
📈Machine Learning
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Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
arxiv.org·1d
📈Machine Learning
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Why Language Models Are “Lost in the Middle”
pub.towardsai.net·2d
🤖AI
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Physics-Informed Neural Operators for Cardiac Electrophysiology
arxiv.org·21h
📈Machine Learning
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