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...

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.

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

We met so many new and interesting people at AAAI-26. What was your favorite memory?

Raise your hand 🙋‍♂️🙋‍♀️if you had fun at student game night during AAAI-26! 👏🙌

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.

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

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.

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

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

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

“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

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

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

"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

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

#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

#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

Here we go! #ToM4AI2026 @aaai.org - thanks @reuth-mirsky.bsky.social for the hats 🎩 www.tom4ai.GitHub.io @nitalon.bsky.social @stefansarkadi.bsky.social

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

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

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

Just attended a fascinating talk on "Bandit Learning in Housing Markets" at #AAAI2026 🏠📊 @aaai.org Combining matching theory with multi-armed bandits to learn core allocations—both centralized and decentralized settings with provable regret bounds.

Fascinated by the "Think-Free" ranking approach (TFRank) presented at #AAAI2026! 🚀 It internalizes complex reasoning into small LLMs (<10B), achieving high-accuracy document ranking without the latency of explicit CoT. Practical, efficient, and very impressive. @aaai.org

Deep dive into Hyperspectral Image SR today at #AAAI2026. The GEWDiff model uses an edge-aware EDM noise scheduler and a multi-level loss function to ensure structural invariance and stable convergence. Really clean results compared to other SOTA models. @aaai.org

Why State-Space Models for event cameras? MA-Mamba proves it! By integrating a Spatio-Temporal Association module, they’ve solved the "noisy & inconsistent" channel update issue in standard SSMs. Great results on DSEC and MVSEC #AAAI2026 @aaai.org

Why do LLMs give unreliable recommendations? Often because we lose "evidence strength" during normalization. GUIDER leverages LLM logits to quantify uncertainty and uses a dynamic re-ranking strategy to boost transparency and trust. #AAAI2026 @aaai.org

Shift toward using LLMs for both predictions and natural-language explanations is a game-changer for transparency. Seeing impressive results from "TWICE-Rec" on generating high-quality rationales across diverse domains like fashion and scientific research. #AAAI2026 @aaai.org

#AAAI2026 5K Fun Run at 6am 🙋‍♀️ Can't believe I actually saw the Merlion without its water fountain! @aaai.org

Ready to level up your career? 🚀 Heading to the Job Fair #AAAI2026 today! If you're looking for new opportunities or a complete career pivot, this is the place to be. Time to network and make things happen! 💼✨ @aaai.org

Real-time Novel View Synthesis with just 4 cameras? 🤯 Checked out the PHOTONS demo by China Telecom at #AAAI2026. It achieves 2K resolution at 25 FPS using a sparse view setup (only 4 RGB cameras).qq.com @aaai.org

Enjoy the poster session at #AAAI26 today and some local (?) food from 🇸🇬 @aaai.org

Standard RDD breaks when people game the system. At #AAAI2026, they propose a Bayesian Mixture Model (BMTM) to handle threshold manipulation in marketing campaigns—effectively separating 'strategic bunching' from organic behavior. A smart fix for causal inference! @aaai.org

Found a gem for the GP & Causal Inference crowd at #AAAI2026! 💎 'CaDyT'—a new framework for Causal Structure Learning in Dynamical Systems. It cleverly uses GP to model continuous-time dynamics from irregularly sampled data, using an MDL score to find causal graph @aaai.org

As a #Zootopia fan, this poster at #AAAI2026 is really appealing🤩！🐰🦊 @aaai.org Very creative design and make me thinking about how to attract other's when making posters

2nd Invited Talk from Dr. Yolanda Gil at #AAAI2026 day2 🌟 can not agree more: AI should make us better people! @aaai.org

How do we reconcile Autoregressive vs. One-shot generative paradigms in Time Series? 🤔The TimeCAP presentation at #AAAI2026 offers a solution: during fine-tuning, we need to balance these complementary strengths while properly modeling multivariate dependencies. @aaai.org

Why treat Time Series as just numbers? 📉🤔 Fascinating talk at #AAAI2026 on using VLMs for Anomaly Detection：1️⃣ TS models lack 'world knowledge' (context). 2️⃣ LLMs lack 'visual understanding' of shapes. @aaai.org Solution: Plot the time series as images!

High-quality Tabular Data Synthesis with Limited Samples! 🚀The team from The University of Melbourne introduced CtrTab at #AAAI2026 It enhances diffusion models with a novel control mechanism to handle high-dimensional data constraints.📊 @aaai.org

The AAAI-26 Undergraduate Consortium enjoyed a wonderful poster session at #AAAI26.

Just attended the New Faculty Highlight at #AAAI2026 featuring Alexander Rodríguez. His work on 'Trustworthy AI for Decision Making in Population Health' tackles the real-world challenges of multimodal data scarcity and noisy signals. @aaai.org

Kicking off #AAAI2026 in Singapore! 🇸🇬 It’s my first time visiting Singapore, and I couldn't be more excited to be here with the AI community. @aaai.org

Do VLMs actually 'see' or just rely on priors? 🤔 Fascinating talk by Chirag Agarwal at #AAAI2026 on Trustworthy Multimodal AI. He showed how models fail to count stripes on a shoe simply because they recognize the 'Adidas' logo and hallucinate the standard 3 stripes. @aaai.org

Mind-blowing numbers on LLM inference efficiency at #AAAI2026! 📉🚀 The 'Stratos' system manages3,700+ heterogeneous servers. The result? A massive~27x cost reduction and~55% lower latency compared to accuracy-first strategies, all while maintaining Pareto optimality. @aaai.org

@milindtambe-ai.bsky.social is giving an eye opening talk on the use of AI for health intervention. At @aaai.org doctoral consortium.

Last night’s student reception at #AAAI26 was a great success!

The Seventh AAAI Undergraduate Consortium (AAAI-UC) is underway at #AAAI26. Our program is designed to foster mentorship, scholarly exchange, and cohort-building through a combination of tutorials, invited talks, panels, and student presentations.

Take a peek behind the scenes in this blog post from the Tutorial Chairs of AAAI-26 👀 blog.aaai.org/report-from-...

Delighted to receive this award with @davpoole.bsky.social. @cs.ubc.ca @aaai.org Talk details here aaai.org/conference/a... #ai