conference

conference on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on conference in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around conference, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Machine Learning

AAAI 27 AI Alignment track [D]

Navigating the AI Alignment track at AAAI 27 can feel opaque. Submission details for track [D] appear exclusively on OpenReview, accessible here: [link]. This track, alongside the Artificial Intelligence for Social Impact, Conference, and Innovative Applications of AI tracks, represents a crucial intersection of research and real-world impact. Understanding the submission process is key to contributing to this vital area. For deeper insight into the evolving landscape of AI progress, explore our analysis of the recent DeepMind/Kaggle challenge, "Measuring Progress Toward AGI – Cognitive Abilities."

Machine Learning

[ECCV 2026 Malmö] Looking for 3-4 people to share an Airbnb — Sept 7–13/14, splitting costs across 7-8 people [D]

Attending ECCV 2026 in Malmö? Secure cost-effective accommodation by joining our group of researchers from IIIT Hyderabad. We're seeking 3-4 individuals to share a spacious Airbnb (sleeps 7-8) from September 7-13/14, splitting costs across a total of 7-8 people. We prioritize a focused, respectful environment conducive to conference attendance. Discover potential savings compared to individual bookings—a smart strategy, especially considering the often negligible price difference for slightly extended stays.

Machine Learning

short-paper at ACL/EMNLP/EACL [R]

Navigating the short-paper submission process for ACL/EMNLP/EACL can be challenging. Acceptance rates for these concise submissions often lag behind those of full-length papers, and understanding the landscape is key. We're seeking insights from anyone who has successfully had a short-paper accepted to these prestigious conferences in 2025 or 2026. Sharing your track and overall assessment would be invaluable. Recent developments, like those detailed in "Prism accidentally leaked," highlight the complexities of the AI research pipeline.

Machine Learning

Looking for JEPA devil advocates [R]

The emergence of JEPA-like world models presents a compelling, future-focused direction for robot learning, as highlighted by recent research. While Yann LeCun’s vision is undeniably ambitious, a critical evaluation is warranted. We're seeking perspectives that challenge the current trajectory – "devil's advocates" who can identify potential downsides compared to alternative world model approaches. Are there overlooked limitations or vulnerabilities within JEPA’s framework? Explore this discussion, and consider “Are Current AI Memory Architectures Optimizing for the Wrong Abstraction?” for a deeper dive into related challenges.