workshops

workshops on Beyond Market Intelligence: a running collection of 6 stories we have gathered and hand-picked because they are worth your time. Every post here touches on workshops 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 workshops, 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

Where to submit stat/prob ML [D]

The dominance of large language models (LLMs) at top machine learning conferences has prompted a critical question: where does the statistical and probabilistic machine learning community find its home? While venues like NeurIPS and ICLR now largely focus on agentic LLM applications, researchers like Arnaud Doucet, Aapo Hyvärinen, and others continue to publish impactful work. AISTATS and UAI appear increasingly viable options, offering a more focused platform for stat/prob ML advancements.

Machine Learning

Archival vs non archival workshop [R]

Understanding NeurIPS workshop archiving is crucial for maximizing the impact of your work, particularly for graduate school applications. A key distinction exists: NeurIPS workshops, like many others, are typically non-archival. Consequently, publication in a proceeding may carry less weight than a peer-reviewed journal. For context, consider how preprints and subsequent publications are handled—a discussion explored in our article, "How to cite/talk about preprint-subsequent works for a camera-ready version?". Prioritize venues that offer robust archival to strengthen your academic record.

Machine Learning

73 NeurIPS workshops, and not a single one on Causality [R]

The absence of causality-focused workshops at NeurIPS 2026, evidenced by the list compiled by Danyal Jafferji, raises a pertinent question: has the field plateaued beyond venues like UAI, AISTATS, and CLeaR? While these remain excellent platforms, the rapid rise of LLMs and agent-based AI appears to have significantly impacted the visibility of several subfields within top-tier conferences. This shift underscores a broader trend in AI research.

AWS Introduces Free Sandbox Environments for Workshops
InfoQ

AWS Introduces Free Sandbox Environments for Workshops

AWS Builder Center now offers a significant advancement for hands-on learning: free, time-limited sandbox environments for workshops. Developers can now explore AWS technologies without needing a personal account or incurring charges—a key community request now fulfilled. This streamlined access removes a major barrier to experimentation and accelerates skill development. For deeper insights into the evolving landscape of AI and cloud services, consider "Siri AI could come with a paywall for power users."

Librarians are hosting viral ‘Avoiding AI’ workshops for people who are fed up with Big Tech
TechCrunch

Librarians are hosting viral ‘Avoiding AI’ workshops for people who are fed up with Big Tech

Demand for practical digital literacy is surging as individuals seek to navigate the evolving AI landscape. Across the nation, libraries are responding with unprecedentedly popular “Avoiding AI” workshops, empowering users to critically assess and manage their interaction with technology. These sessions address growing concerns about Big Tech's influence and offer actionable strategies for reclaiming control. For a broader perspective on the evolving AI ecosystem, explore “AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering,” available on our site.

Machine Learning

NeurIPS reviews coming in soon! [D]

NeurIPS reviews are anticipated to appear around July 22nd at 5:30 PM AoE, based on observations across social platforms. For those who submitted to NeurIPS 2026 – whether to workshops or the main/other tracks – we'd welcome your perspectives on the upcoming reviews. This period marks a critical juncture for researchers. Explore insights into model performance; for example, our recent article on "Schema," a harness achieving 99% on ARC-3, offers a relevant case study in pushing boundaries. Share your thoughts and prepare for the assessments!