Google's AI advisors: agentic tools to drive impact and insights
blog.google·5h
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<p>**Abstract:** This paper introduces the Enhanced Economic Impact Assessment via Adaptive Multi-modal Data Fusion and Recursive Scoring (EIAM-ADMS) framework,...
freederia.com·4h
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Human-in-the-loop in AI workflows: HITL meaning, benefits, and practical patterns
zapier.com·17h
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Running Out of AI
tomtunguz.com·22h
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Principles for Creating with AI (update)
cjchilvers.com·1d
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Why the Frontend Should Run AI Models Locally With ONNX
thenewstack.io·4h
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Self-adapting LLMs behave more like students to absorb new knowledge
techxplore.com·6h
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·17h
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How AI and ML Are Being Integrated Into Modern App Frameworks
pub.towardsai.net·1d
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Demystifying AI Tools, AI Agents, and Agentic Workflows
cacm.acm.org·1d
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·17h
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Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
arxiv.org·17h
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Google launches AI-powered advisors
searchengineland.com·7h
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Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
arxiv.org·1d
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Pipelex: Building Reliable AI Workflows with Business Logic, Not API Calls
pub.towardsai.net·1d
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Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
arxiv.org·17h
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