Español abajo 🧠✨ Interpreting in the Age of AI ✨🧠
facebook.com·1d
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<p>**Abstract:** This paper introduces Causal Contrastive Learning (CCL), a novel framework for generating more robust and interpretable counterfactual explanat...
freederia.com·13h
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AI controls satellite in orbit for first time
semafor.com·17h
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Can AI agents actually solve CAPTCHAs?
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Mitigating Negative Flips via Margin Preserving Training
arxiv.org·29m
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Diagnosing and Breaking Amplitude Suppression in Seismic Phase Picking Through Adversarial Shape Learning
arxiv.org·1d
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·29m
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How AI and ML Are Being Integrated Into Modern App Frameworks
pub.towardsai.net·11h
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Demystifying AI Tools, AI Agents, and Agentic Workflows
cacm.acm.org·9h
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Gonka.ai – Decentralized Infrastructure for AI
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·29m
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Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
arxiv.org·29m
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Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
arxiv.org·1d
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To use ai to generate to your code or to code it manually that is the question?
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Pipelex: Building Reliable AI Workflows with Business Logic, Not API Calls
pub.towardsai.net·7h
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