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Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module Spike inference from calcium imaging data acquired with GCaMP8 indicators Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering
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Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module

July 27, 2026 Admin
AI RESEARCH

Spike inference from calcium imaging data acquired with GCaMP8 indicators

July 27, 2026 Admin
AI RESEARCH

Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury

July 27, 2026 Admin
AI RESEARCH

AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics

July 24, 2026 Admin
AI RESEARCH

Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering

July 24, 2026 Admin
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Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module
AI RESEARCH
Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module
Spike inference from calcium imaging data acquired with GCaMP8 indicators
AI RESEARCH
Spike inference from calcium imaging data acquired with GCaMP8 indicators
Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury
AI RESEARCH
Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
AI RESEARCH
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
AI Education: How to Get Ahead in the 21st Century Job Market!
GENERAL AI NEWS
AI Education: How to Get Ahead in the 21st Century Job Market!
The Power of NLP: How to Transform Text into Actionable Insights!
GENERAL AI NEWS
The Power of NLP: How to Transform Text into Actionable Insights!
The AI Breakthrough That Could Change the World!
AI RESEARCH
The AI Breakthrough That Could Change the World!
Mastering NLP: How to Use Language to Your Advantage in the Digital Age!
GENERAL AI NEWS
Mastering NLP: How to Use Language to Your Advantage in the Digital Age!
Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module
AI RESEARCH
Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module
Spike inference from calcium imaging data acquired with GCaMP8 indicators
AI RESEARCH
Spike inference from calcium imaging data acquired with GCaMP8 indicators
Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury
AI RESEARCH
Large language model driven multicenter prediction and explainable risk attribution of acute kidney injury
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
AI RESEARCH
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
AI RESEARCH

To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending

June 11, 2026 Admin

arXiv:2606.11201v1 Announce Type: cross Abstract: The wide deployment of LLMs has made model alignment necessary to make newly trained models…

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PoQ-Judge: A Multi-Architecture Evaluation Framework for Cost-Aware Proof-of-Quality in Decentralized LLM Inference

June 11, 2026 Admin

arXiv:2606.11196v1 Announce Type: cross Abstract: Decentralized LLM inference networks need lightweight, reference-free quality evaluation for Proof of Quality (PoQ). We…

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From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference

June 11, 2026 Admin

arXiv:2606.11207v1 Announce Type: new Abstract: We present SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data…

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RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning

June 11, 2026 Admin

arXiv:2606.11092v2 Announce Type: replace-cross Abstract: Elite humanoid soccer shooting requires whole-body stability, high-impulse whole-body interactions, and accuracy to targets. Motion…

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Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application

June 11, 2026 Admin

arXiv:2606.12191v1 Announce Type: cross Abstract: Environments serve as interactive systems for large language model (LLM) based agents across diverse scenarios…

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OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models

June 11, 2026 Admin

arXiv:2606.12169v1 Announce Type: cross Abstract: High-stakes clinical use of large vision-language models (LVLMs) requires reasoning that is grounded in visual…

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Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning

June 11, 2026 Admin

arXiv:2606.10968v2 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has become standard for improving LLM reasoning. However, existing…

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From virtual experiments to biomedical insight with synthetic data

June 11, 2026 Admin

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Bridging three-dimensional molecular structures and artificial intelligence with a conformation description language

June 11, 2026 Admin

Nature Machine Intelligence, Published online: 11 June 2026; doi:10.1038/s42256-026-01250-8 Xiong et al. introduce ConfSeq, a molecular conformation description language that…

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PreAct-Bench: Benchmarking Predictive Monitoring in LLMs

June 10, 2026 Admin

arXiv:2606.09890v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents capable of executing multi-step action…

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Automatic deep learning-based tumor segmentation for PET-CT in mice with an uncertainty quantification module

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