AI Dynamics

Global AI News Aggregator

@hugo_larochelle

  • CoLLAs 2026 Call for Papers: Continual Learning Conference Romania

    By

    @hugo_larochelle

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    Continual learning is the future of AI and @CoLLAs_Conf is the best venue to publish your state-of-the-art research in designing adaptive machine learning systems! Abstract deadline in 10 days and the conference is in Romania this year! CoLLAs 2026 (@CoLLAs_Conf) โฐ The CoLLAs abstract deadline is only 10 days away! We invite researchers to explore all facets of ML adaptation, from incorporating new capabilities during continuous training to efficiently removing outdated or harmful data. – ๐—”๐—ฏ๐˜€๐˜๐—ฟ๐—ฎ๐—ฐ๐˜ ๐——๐—ฒ๐—ฎ๐—ฑ๐—น๐—ถ๐—ป๐—ฒ: April 10, 2026 – ๐—ฆ๐˜‚๐—ฏ๐—บ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป ๐——๐—ฒ๐—ฎ๐—ฑ๐—น๐—ถ๐—ป๐—ฒ: April 15, 2026 – ๐—–๐—ผ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐——๐—ฎ๐˜๐—ฒ๐˜€: Sep 14โ€“17, 2026 ๐Ÿ“š Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). ๐Ÿ”— ๐—™๐—ผ๐—ฟ ๐—ณ๐˜‚๐—น๐—น ๐—ฑ๐—ฒ๐˜๐—ฎ๐—ถ๐—น๐˜€ ๐—ผ๐—ป ๐˜๐—ต๐—ฒ ๐—–๐—ฎ๐—น๐—น ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฎ๐—ฝ๐—ฒ๐—ฟ๐˜€: lifelong-ml.cc/Conferences/2โ€ฆ โ€” https://nitter.net/CoLLAs_Conf/status/2039054100126368012#m

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-31 20:04 UTC

  • NeurIPS 2026 Clarifies Sanctions Policy After Community Concern

    By

    @hugo_larochelle

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    We want to speak directly to the concern many of you have expressed, and we owe you a clear explanation of what happened, why it happened, and where we stand now. We understand this situation caused genuine alarm and we take that seriously. In preparing the NeurIPS 2026 handbook, we included a link to a US government sanctions tool that covers a significantly broader set of restrictions than those NeurIPS is actually required to follow. This error was due to miscommunication between the NeurIPS Foundation and our legal team; there was never an intention to restrict participation beyond our mandatory compliance obligations. The responsibility for that error is ours as an organization, and we deeply apologize for the alarm and impact this miscommunication had on our community. We have updated the link and clarified the text of our policy, which is consistent with that of ACM and IEEE, as well as other international conferences and NeurIPS in the past. As in previous years, NeurIPS welcomes submissions from all compliant institutions and individuals. We want to reiterate that NeurIPS is a community-driven event, created by and for the community, and strives to be inclusive. The NeurIPS 2026 organizing committee was particularly saddened to learn of this institutional miscommunication. The organizing committee has taken on the responsibility of running the conference this year with the goal of fostering open communication, knowledge sharing, and global scientific discourse. We thank the community for bringing this issue to our attention and working with us through this situation.

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-27 07:57 UTC

  • U.S. Sanctions Law Implications for Academic Peer Review Participation
    U.S. Sanctions Law Implications for Academic Peer Review Participation

    By

    @hugo_larochelle

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    Participation in peer review at @NeurIPSConf (or @icmlconf, @iclr_conf, @CVPR, @COLM_conf, etc.) can be considered providing a "service" under U.S. sanctions law. U.S. law generally prohibits providing services to designated sanctioned individuals or entities, including cases where the process is effectively providing a service to a sanctioned institution. Violations can lead to significant fines and compliance overhead; willful violations can carry criminal exposure to the organizers and board members. Note that the "informational materials" exemption (Berman Amendment) likely does not apply here, based on legal advice.

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-25 19:06 UTC

  • Causality Framework for Interpretability Methods in Foundation Models

    By

    @hugo_larochelle

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    We have a position paper led by the awesome @_shruti_joshi_ and @rpatrik96 that shows how causality can provide a unifying framework to formalize, estimate and evaluate interpretability methods for foundation models. Have a look! Shruti Joshi (@_shruti_joshi_) Mechanistic interpretability aims to understand models โ€” and the more superhuman or incoherent they become, the more we need that understanding to be reliable. We propose a framework for this, drawing on established tools from causal reasoning and statistical identifiability: ๐Ÿงต โ€” https://nitter.net/_shruti_joshi_/status/2035025756632302039#m

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-24 16:12 UTC

  • NeurIPS 2026 Announces Satellite Events in Paris and Atlanta

    By

    @hugo_larochelle

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    Following the success of the EurIPS and NeurIPS-Mexico City pilots in 2025, we are thrilled to announce two official NeurIPS 2026 satellite events for this year! These will be held in Paris, France and Atlanta, USA, respectively, running alongside the main venue in Sydney, Australia. Both satellite events will feature keynotes, oral and poster presentations of accepted NeurIPS 2026 papers, as well as workshops. We are planning tutorials, affinity events, and other elements for the satellite sites and we'll share more information as planning advances. Wherever you choose to join us, the entire NeurIPS organizing committee is working hard to deliver an outstanding experience for the whole community! neurips.cc/

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-23 20:58 UTC

  • Sub-agent teams improving rapidly, management skills becoming essential

    By

    @hugo_larochelle

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    The sub-agent teams are getting very good. So good, I may have to start providing management textbooks to my students soon.

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-19 20:25 UTC

  • Agentic Coding for Beginners: AI Tools and Research Workflows

    By

    @hugo_larochelle

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    I wrote an article on agentic coding for beginners after my talk at @apsarathchandar @ChandarLab group. We cover history of AI coding tools, the importance of model harnesses, and general principles in simple research workflows. Feedback is very welcome! aidanli.dev/writing/articlesโ€ฆ

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-19 12:22 UTC

  • Gilles Brassard and Charles Bennett Receive 2025 Turing Award

    By

    @hugo_larochelle

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    Congratulations to my friend and colleague at @UMontreal Gilles Brassard and Charles H. Bennett on receiving the 2025 Turing Prize, which recognizes their pioneering work in the field of quantum computing! Gilles, you are a source of pride for our university and our nation, and it is a tremendous joy to work alongside you over the many years.
    acm.org/media-center/2026/march/turing-award-2025 [Translated from EN to English]

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-18 13:32 UTC

  • Preserving Figures in AI Chat: A Solution for Scientific Papers

    By

    @hugo_larochelle

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    When you ask ChatGPT, Claude, Gemini about a paper, they strip out the figures and give you prose. Scientists choose to include plots and diagrams for a reason — they are dense and precise. I've cooked a way to preserve them in our chat agent, with architecture diagrams, tables, plots, linked back to the source PDF. How was this not already a thing? tiptreesystems.com/blog/compโ€ฆ

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-17 17:50 UTC

  • OpenLeaf Clarifications: Discovery Tool, Not Citation Button

    By

    @hugo_larochelle

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    wanted to make a few clarifications on openleaf as thereโ€™s lot of love from people (thanksโค๏ธ!) but also some misunderstanding: 1. "this encourages blind citation" — openleaf links every suggested paper for a reason. you're supposed to read it before citing (the paper link is right there). it's a discovery tool, and most def not a "cite for me" button. also, its ranking is purely content-based — no citation count, no popularity metrics — specifically to avoid unfair concentration of citations to a select few papers/institutions. 2. "if you do your lit search after writing a paragraph, you're doing it wrong" — agree! but the demo showed a simplified flow. the real use case: you've read 20 papers, but there are 1000s published monthly. you will miss relevant ones. openleaf helps you find them. already working on improvements to make it even better: – reading your existing .bib so it's aware of what you already cite – analyzing full paper text, not just abstracts – better reasoning track progress, suggest features, or pick up an issue! github.com/Demfier/openleaf/โ€ฆ Gaurav Sahu (@dem_fier) ever been here? open overleaf โ†’ write a paragraph โ†’ "hmm…this needs a citation" โ†’ open 15 different tabs โ†’ skim 8 abstracts โ†’ find the 1 actually relevant paper โ†’ format bibtex โ†’ paste it back on overleaf if so, i built a plugin just for you. meet openleaf: โ†’ reads your paper paragraph by paragraph โ†’ searches major academic databases โ†’ filters out irrelevant papers using ai โ†’ one click to add BibTeX to your .bib you'll also find the ๐Ÿค friendly and ๐Ÿ”ฅ fire reviewers there. i don't think i need to tell you what they do ๐Ÿ™‚ free. open source. no account. no data collection. works with ollama, openrouter, openai api and more. github.com/demfier/openleaf dear algorithm, please show this to my fellow researchers in need ๐Ÿ™ #overleaf #latex #opensource #academictwitter โ€” https://nitter.net/dem_fier/status/2033002945973752297#m

    โ†’ View original post on X โ€” @hugo_larochelle, 2026-03-16 15:07 UTC