Google's AI advisors: agentic tools to drive impact and insights
blog.google·14h
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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·13h
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Human-in-the-loop in AI workflows: HITL meaning, benefits, and practical patterns
zapier.com·1d
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Running Out of AI
tomtunguz.com·1d
🗿Anthropology
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Self-adapting LLMs behave more like students to absorb new knowledge
techxplore.com·15h
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Need help with building a shortcut that logs fitness info/data at a set schedule
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Google launches AI-powered advisors
searchengineland.com·16h
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Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network
arxiv.org·2h
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Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
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When is a System Discoverable from Data? Discovery Requires Chaos
arxiv.org·2h
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SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology
arxiv.org·1d
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The scientist who taught AI to see now wants it to understand space
the-decoder.com·1d
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Exploring The Interaction-Outcome Paradox: Seemingly Richer and More Self-Aware Interactions with LLMs May Not Yet Lead to Better Learning
arxiv.org·2h
🗿Anthropology
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CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping
arxiv.org·1d
🗿Anthropology
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Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
arxiv.org·2d
🗿Anthropology
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Let´s talk about AI dependency....
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