Latest posts tagged with #AAAI26 on Bluesky
🔝 Our Scientific Director, Prof. Xavier Costa-Pérez, served as Senior Program Committee Member and Session Chair at #AAAI26 in Singapore 🇸🇬. We are proud to lead global #AI research in NLP and Ecology to drive a real social and sustainable impact.
#i2CATresearch
Image from article in Radiology: Artificial Intelligence
Economic Value of AI in Radiology: A Systematic Review https://doi.org/10.1148/ryai.250090 @tum.de @unibas.ch #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-level Identification Risks to Federated Learning and Synthetic Data Challenges https://doi.org/10.1148/ryai.250273 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
The work "An uncertainty-aware framework for multi-view animal pose estimation” at #AAAI26 workshop uses a Multi-view Transformer and a Variance-Inflated Ensemble Kalman Smoother to improve accuracy without needing extra labels. Huge for data-efficient biology research @aaai.org
Can AI help us settle arguments? 🤖⚖️
Spotted this fascinating poster at #AAAI26 by researchers from USC and Gachon University. They’re exploring how LLMs can mediate synchronous dispute dialogues, which are often high-emotion and high-conflict. @aaai.org
If you are interested in reinforcement learning or reinforcement learning training of language models, this might spark your interest!
✨See my new paper on scaling, capacity and complexity of reinforcement learning published at #AAAI2026 ! @aaai.org
#AAAI #AAAI26 #ReinforcementLearning #DeepRL
Image from article in Radiology: Artificial Intelligence
A systematic review of the economics of AI in radiology https://doi.org/10.1148/ryai.250090 @tum.de @unibas.ch #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Offline RL often fails when agents accidentally drift into Out-of-Distribution (OOD) states. 📉
Fascinating poster at #AAAI26 on DASP (Density-Aware State Correction). Instead of just suppressing OOD actions, DASP uses a compact variational model to guide agents @aaai.org
Stop #AAAI26 to see VisionReward! 🚀
This work introduces a fine-grained reward model that addresses reward hacking in image/video generation. By bridging the gap between interpretable learning and multi-dimensional optimization, they are setting a new standard @aaai.org
Image from article in Radiology: Artificial Intelligence
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
#AAAI26 on "Local Guidance for Configuration-Based Multi-Agent Pathfinding" (LG-LaCAM)! 🤖🛰️
Tomoki Arita and Keisuke Okumura are pushing the boundaries of MAPF by integrating local guidance into state-of-the-art LaCAM. @aaai.org
#AAAI26 poster hall: "UMNet: Uncertainty-guided Memory Network for Hyperspectral Pansharpening". 🛰️✨
Xiaozheng Wang and the team at Tiangong University are using spatial-spectral uncertainty-guided loss to solve distortion issues in image fusion. @aaai.org
How do we handle the computational burden of streaming data in Gaussian Processes? Some brilliant work on Distributed GP Experts today at #AAAI26. By using weighted sums for predictive means and variances, we can keep complexity in check while maintaining accuracy. @aaai.org
a great talk by Robin van der Laag at #AAAI26 on "Stochastic multi-objective optimisation." 🎯
Balancing competing objectives in a decision space vs. objective space is a classic challenge. This session provided some great insights into navigating these trade-offs effectively. @aaai.org
Image from article in Radiology: Artificial Intelligence
A systematic review of the economics of AI in radiology https://doi.org/10.1148/ryai.250090 @tum.de @unibas.ch #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Dr. Merel Huisman joins the Editorial Board of Radiology: Artificial Intelligence radiologyai.substack.com/p/introducing-dr-merel-h... #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
New Special Report! Methods for preparing imaging data for AI while protecting privacy https://doi.org/10.1148/ryai.250273 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Later this morning at #AAAI26 in Singapore:
Image from article in Radiology: Artificial Intelligence
New data resource with 4-view 2D mammograms and corresponding BI-RADS assessment, breast density, machine ID, and proof of benign or malignant outcome https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Economic Value of AI in Radiology: A Systematic Review https://doi.org/10.1148/ryai.250090 @tum.de @unibas.ch #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Dr. Merel Huisman joins the Editorial Board of Radiology: Artificial Intelligence radiologyai.substack.com/p/introducing-dr-merel-h... #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Deep learning for the detection, diagnosis, and segmentation of gastric neoplasms on contrast-enhanced CT https://doi.org/10.1148/ryai.250145 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
New mammography dataset with BI-RADS, breast density, machine ID, and outcome data freely available to the research community https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
Why AI should measure, not just detect radiologyai.substack.com/p/why-ai-should-measure-... #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
Image from article in Radiology: Artificial Intelligence
New data resource with 4-view 2D mammograms and corresponding BI-RADS assessment, breast density, machine ID, and proof of benign or malignant outcome https://doi.org/10.1148/ryai.250375 #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning
✨Excited to present these results at #AAAI2026 !
📜It is a must read if you are interested in reinforcement learning 📜 @aaai.org
Paper: Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
#ReinforcementLearning #AAAI #AAAI26 #DeepRL
