Decoding the Daily Grind: AI That Understands Your Unspoken Routines
dev.to·1d·
Discuss: DEV
♾omega point
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AI/ML Trends Report
dev.to·2d·
Discuss: DEV
🦾transhumanism
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Rebellion: Noise-Robust Reasoning Training for Audio Reasoning Models
arxiv.org·37m
🧠noosphere
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Multi-Modal RAG in 2025: How CLIP, Whisper, and OpenAI Embeddings Are Redefining AI Search
pub.towardsai.net·13h
🧠noosphere
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Time-Aware Policy Learning for Adaptive and Punctual Robot Control
arxiv.org·2d
♾omega point
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DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
arxiv.org·3d
♾omega point
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DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction
arxiv.org·37m
🧠noosphere
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Enhanced Semantic Validation via Hybrid Logic & Numerical Simulation Framework
dev.to·1d·
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World Labs Launches Marble as Spatial Intelligence Becomes the New AI Battleground
pymnts.com·6h
🦾transhumanism
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Why Smaller Models Are the Future: Inside the Quiet Revolution of SLMs?
pub.towardsai.net·15h
🦾transhumanism
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🚨 Meta just dropped a breakthrough that could change how AI agents learn forever.
threadreaderapp.com·3d
🦾transhumanism
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Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning
arxiv.org·2d
🧠noosphere
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How to Ensure Quality of Responses in AI Agents: A Practical, End-to-End Playbook
dev.to·13h·
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🧠noosphere
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Verinext Expands AI Services Portfolio with Computer by DevRev, an AI Teammate that Unifies Data and Automates Work
prnewswire.com·1d
🦾transhumanism
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Sinch Releases 2026 Predictions: AI to Redefine How Brands Connect
prnewswire.com·2d
🦾transhumanism
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Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
arxiv.org·1d
🦾transhumanism
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My Journey Building AI Agents: A Web Developer's Progress Review
dev.to·1d·
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🦾transhumanism
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Top 7 White Label AI & Automation Partners Helping Agencies Deliver More with Less
dev.to·17h·
Discuss: DEV
🦾transhumanism
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Bayesian Mixture of Experts For Large Language Models
arxiv.org·1d
♾omega point
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Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
arxiv.org·1d
🧠noosphere
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