Stellar Blockchain to Power Turbo Energy’s Tokenized Clean Energy Financing Initiative
coindesk.com·15h
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Bank of America runs 270 AI models across operations
finance.yahoo.com·4h
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Bitcoin’s $588B Range Masks Market Vulnerabilities: 10x Research
coindesk.com·1d
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LLM Concepts (Explained Without Making Your Brain Hurt): What Every Developer Should Know
dev.to·13h·
Discuss: DEV
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Deploying ML Models to Production: AWS Lambda vs ECS vs EKS - A Data-Driven Comparison
dev.to·20h·
Discuss: DEV
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AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
arxiv.org·1d
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The Rise of AI-Powered Cybersecurity: How Machine Learning Is Changing the Game
dev.to·1d·
Discuss: DEV
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I built a runtime for Ai models to develop their own identity over time... And they remember, even when you swap out models.
reddit.com·1d·
Discuss: r/LLM
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AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
arxiv.org·1d
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EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
arxiv.org·1d·
Discuss: Hacker News
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Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
arxiv.org·1d
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Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
arxiv.org·2d
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SERL: Self-Examining Reinforcement Learning on Open-Domain
arxiv.org·2h
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The Online Patch Redundancy Eliminator (OPRE): A novel approach to online agnostic continual learning using dataset compression
arxiv.org·2h
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Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
arxiv.org·1d
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One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
arxiv.org·2h
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Accelerated Reliability Prediction via Bayesian Network Ensemble and Accelerated Lifecycle Testing (BN-ALT)
dev.to·9h·
Discuss: DEV
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Partial Action Replacement: Tackling Distribution Shift in Offline MARL
arxiv.org·2h
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E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
arxiv.org·1d
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Investigating CoT Monitorability in Large Reasoning Models
arxiv.org·2h
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