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Photos from the AAAI-26 Fellows Dinner on January 22, 2026. It was a wonderful evening, thank you to all who attended.

📸: Event Photographer Singapore
February 13, 2026 at 9:55 PM
AAAI-26 fostered scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. What an unforgettable event!
February 12, 2026 at 4:12 PM
Call for papers! AIES 2026 invites work that not only analyzes ethical and societal challenges, but helps reimagine the institutions, practices, and values needed to govern AI responsibly. Full info and deadlines: www.aies-conference.com/2026/call-fo...
Call for Papers
www.aies-conference.com
February 10, 2026 at 5:42 PM
Thank you to those who joined us at AAAI-26 in Singapore! This year’s conference was a tremendous success, bringing together over 10,000 attendees from more than 100 countries and featuring more than 4,000 accepted papers.
February 9, 2026 at 3:56 PM
Congratulations to our AAAI-26 Educational Video Winners ➡️

Multiplicity: The Curious Case of Arbitrariness in Machine Learning
View here: youtu.be/6DHpbbaEWj4

What actually is AI?
View here: youtu.be/UDNcaOvto0M
February 5, 2026 at 1:08 PM
We met so many new and interesting people at AAAI-26. What was your favorite memory?
January 30, 2026 at 12:34 PM
Raise your hand 🙋‍♂️🙋‍♀️if you had fun at student game night during AAAI-26! 👏🙌
January 29, 2026 at 1:37 PM
Attendees at AAAI-26 attended poster sessions throughout the event. With a record number of posters at this year’s conference, there was much opportunity to present, learn, and discuss.
January 28, 2026 at 10:59 PM
Reposted
Thanks to everyone who contributed to a productive @aaai.org conference in Singapore. Our team enjoyed the conversations with researchers and practitioners advancing AI. See you next year! #AAAI2026
January 27, 2026 at 11:20 PM
Reposted
So nice to see photos of AI conferences starting to show up on Bluesky, so please do! (I've already seen a few of @aaai.org that was reposted.)

This was one aspect where LinkedIn was winning at the end of last year. We need more of this! I'll share many of my next one @aamasconf.bsky.social too.
We’ll be sharing some photos from AAAA-26 for the rest of the week. First up, opening reception at Mandi Wilflife Reserve.
January 28, 2026 at 9:00 PM
We’ll be sharing some photos from AAAA-26 for the rest of the week. First up, opening reception at Mandi Wilflife Reserve.
January 28, 2026 at 1:46 PM
Reposted
This framework, Compare&Generate,
at #AAAI2026 workshop tackles a major hurdle in synthetic data: quality control. Instead of just "thinking step-by-step," the model learns why one output is better than another to iteratively improve. @aaai.org
January 27, 2026 at 10:11 AM
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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
January 27, 2026 at 10:17 AM
Reposted
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
January 27, 2026 at 10:26 AM
Reposted
“Flash Embeddings for Online Learning of Categorical Features” at #AAAI2026
Fascinating approach to learning high-cardinality and recurring categorical data over time—with fixed memory constraints. @aaai.org
January 25, 2026 at 3:54 PM
Reposted
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
January 25, 2026 at 4:02 PM
Reposted
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
January 25, 2026 at 4:05 PM
Reposted
"Lexicographic Bandits" at #AAAI2026! 🎰bridging the gap between Regret Minimization and Best Arm Identification. In complex decision-making systems where objectives have a strict priority, finding the optimal balance is a tough challenge. @aaai.org
January 25, 2026 at 4:10 PM
Reposted
at #AAAI2026 on "RECORd: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Causal Relational Diagram." 👩‍💻🔍
By using reinforcement fine-tuning (RFT) and multi-agent systems, this work transforms complex code into interpretable causal graphs. @aaai.org
January 25, 2026 at 4:19 PM
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#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
January 25, 2026 at 4:25 PM
Reposted
#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
January 25, 2026 at 5:09 PM
Reposted
January 26, 2026 at 1:32 AM
Reposted
This #AAAI2026 workshop talk on a new distributional treatment for time series anomaly detection is a paradigm shift—using Isolation Distributional Kernels (IDK). Fascinating to see how IDK^2 maps points through Hilbert spaces to detect group anomalies. @aaai.org
January 26, 2026 at 1:48 AM
Reposted
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
January 26, 2026 at 1:58 AM
Reposted
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
January 26, 2026 at 2:13 AM