We're looking for a CV/ML Engineer to help us improve the machine learning systems that power iNaturalist's species identification and geographic range modeling. If you're excited to help build tools that help millions of people engage with nature, we'd love to hear from you! Apply: buff.ly/YZqaW6c

Opportunity to join the fantastic iNaturalist team to help improve the underlying computer vision and machine systems that help power their platform. Role: CV/ML Engineer Deadline: Jul 15th (or sooner) app.beapplied.com/apply/i4mc1l...

Job opening for Lecturer/Associate Professor of AI for Biodiversity Science at University College London (UCL). www.ucl.ac.uk/work-at-ucl/...

🎓 Announcing the 1st Bath Summer School in Machine Learning 📅 5–7 August 2026 | 📍 University of Bath Topics: ODEs/SDEs, Bayesian methods, Self-Supervised Learning, World Models Open to PhDs, postdocs & staff at EU/UK universities www.bathmlsummerschool.org

Registration for the 29th British Machine Vision Association (BMVA) Computer Vision Summer School is now open! It will take place from the 13th to 17th of July 2026 at Durham University, UK. For more information, please check out the official webpage: cvss.bmva.org

Postdoc opportunity (2 years) at the University of Edinburgh on generative models.

@an-exlab.bsky.social · 7mo ago

We are advertising a postdoc position to work on #generative #models, #structure #induction, and MI #estimation with Michael Gutmann as part of @genaihub.bsky.social ! elxw.fa.em3.oraclecloud.com/hcmUI/Candid... Get in touch! (#ML #AI) 👉 homepages.inf.ed.ac.uk/snaraya3/ 👉 michaelgutmann.github.io

Addressing global biodiversity loss needs more than data collection. A new PNAS Perspective from the 2025 US–UK Scientific Forum outlines 9 changes to improve how biodiversity is measured and used for conservation. Read now: https://ow.ly/BH5Q50YsXUY Forum: https://ow.ly/U5ZV50YsUTK

How does AI interact with culture? We’re thrilled to have Dr. Maria Antoniak (@mariaa.bsky.social) join us at FGVC! Her interdisciplinary work on AI in the humanities brings a new perspective to our workshop: the fine-grained categorization of the intangible parts of culture. See you at #CVPR2026!

FGVC13 submissions are OPEN NOW! Whether you have new or existing work, we have a track for you: 1. Proceedings: Due Feb 27 2. Non-archival: Due April 3 3. Nectar (Already published): Due April 30 Full details: sites.google.com/view/fgvc13/... #AI #CVPR2026 #MachineLearning #DeepLearning

We will be running the 13th iteration of the workshop on Fine-Grained Visual Categorization (FGVC) at CVPR this summer. We have an open call for papers that explore questions in visual recognition. Please see our website for more information: sites.google.com/view/fgvc13/...

FGVC Workshop@fgvcworkshop.bsky.social · 9mo ago

FGVC's not dead! The 13th Workshop on Fine-Grained Visual Categorization has been accepted to CVPR 2026, in Denver, Colorado! CALL FOR PAPERS: sites.google.com/view/fgvc13/ From Ecology to Medical Imagining, join us as we tackle the long tail and the limits of visual discrimination! #CVPR2026 #AI

We have two open PhD positions at the interface of AI and ecology. Start dates are Sept 2026. We are looking for candidates with a background in AI/CS, Math, Stats, or Physics that are passionate about solving challenging problems in these domains.  Application deadline is in two weeks.

Thank you to everyone who joined us at #NeurIPS2025 for the inaugural AI for Non-Human Animal Communication workshop! Seeing a room full of researchers from ML, bioacoustics, and ethology gather around shared questions was such an exciting moment for the field.

The goal of semantic correspondence estimation is to establish semantically meaningful matches across different images of an object. It turns out however that recent supervised methods generalize poorly beyond the annotated keypoints seen during training. #NeurIPS2025

Today at #NeurIPS2025, Bingchen Zhao will be presenting our new LLM Speedrunning Benchmark which evaluates an LLM agent's ability to reproduce scientific finding in the context of LLM training. Stop by poster #3313 from 4:30pm to 7:30pm at #NuerIPS2025 today in San Diego to learn more.

Leonie @bossemel.bsky.social will be presenting CleverBirds, our new human visual learning dataset, at #NeurIPS2025 in San Diego today. Stop by poster #2012 from 11am-2pm to learn more.

Leonie Bossemeyer@bossemel.bsky.social · 11mo ago

From medicine to geo-guessing, humans can get incredibly good at solving visual recognition tasks. But how is this skill learned, and can we model its progression? We present CleverBirds, accepted #NeurIPS2025, a large-scale benchmark for visual knowledge tracing. 📄 arxiv.org/abs/2511.08512 1/5

Want to discover and visualise the differences between two different machine learning models? We will be presenting Neehar's work on "Representational Difference Explanations" at #NeurIPS2025 in San Diego from 4:30pm to 7:30pm PT today. Poster #1115. Full paper: arxiv.org/abs/2505.23917

Neehar Kondapaneni@therealpaneni.bsky.social · 10mo ago

Excited to share our paper Representational Difference Explanations (RDX) was accepted to #NeurIPS2025! 🎉RDX is a new method for model diffing designed to isolate 🔍 representational differences. 1/7

We will be presenting Elle Miller's (@elle-miller.bsky.social) work on Enhancing Tactile-based Reinforcement Learning for Robotic Control at #NeurIPS2025 in San Diego today. Stop by poster #2317 from 11am to 2pm PT today to learn more. Full paper: arxiv.org/abs/2510.21609

Check out this fantastic TED talk from Sara Beery @sarameghanbeery.bsky.social In it, she talks about how computer vision techniques can assist with extracting a wealth of information and insights from large image collections that depict the natural world.

Sara Beery@sarameghanbeery.bsky.social · 10mo ago

How do we do more with biodiversity data we've already collected? I gave a TED Talk on scientific discovery in ecological databases at a joint TED Countdown and Bezos Earth Fund event for #NYClimateWeek this year, and it's now live! @inaturalist.bsky.social #AIforConservation

Traditional clustering methods aim to group unlabelled data points based on their similarity to each other. However, clustering, in the absence of additional information, is an ill-posed problem as there may be many different, yet equally valid, ways to partition a dataset.

We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction. It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics: ai4bi-cdt.ed.ac.uk

Check out Neehar's (@therealpaneni.bsky.social) upcoming #NeurIPS2025 paper titled: Representational Difference Explanations He has a cool new approach for enabling more direct and interpretable model comparisons by isolating representational differences between models. arxiv.org/abs/2505.23917

Neehar Kondapaneni@therealpaneni.bsky.social · 10mo ago

Excited to share our paper Representational Difference Explanations (RDX) was accepted to #NeurIPS2025! 🎉RDX is a new method for model diffing designed to isolate 🔍 representational differences. 1/7

Check out Leonie's (@bossemel.bsky.social) upcoming NeurIPS Datasets and Benchmarks paper about a really interesting new dataset for evaluating models of human visual learning.

Leonie Bossemeyer@bossemel.bsky.social · 11mo ago

From medicine to geo-guessing, humans can get incredibly good at solving visual recognition tasks. But how is this skill learned, and can we model its progression? We present CleverBirds, accepted #NeurIPS2025, a large-scale benchmark for visual knowledge tracing. 📄 arxiv.org/abs/2511.08512 1/5

Great PhD opportunity to work with Serge and Toke on a really interesting computer vision / machine learning problem.

Serge Belongie@serge.belongie.com · 11mo ago

Prof. @tokehoye.bsky.social (Aarhus University) and I have an open PhD position (jointly advised) on biodiversity monitoring with camera trap networks. Deadline: 15-Jan-2026 Please help us share this post among students you know with an interest in Machine Learning and Biodiversity! 🤖🪲🌱

Meet our speakers for the AI for Non-Human Animal Communication workshop at @NeurIPSConf! 🐬 Laela Sayigh – decoding dolphin communication 🦇 Oisin Mac Aodha – AI for biodiversity monitoring 🐦 Julie Elie – neural mechanisms of songbird & bat vocal learning Learn more and join: aiforanimalcomms.org

Viacheslav's group does fantastic work in machine learning in geometric learning and uncertainty quantification. For those looking to start a PhD in the near future this is a brilliant opportunity to work with a great advisor! #phd #ml #edinburgh

Viacheslav Borovitskiy@vabor112.bsky.social · 11mo ago

I am hiring a fully-funded #PhD in #ML to work at the University of Edinburgh on 𝐠𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐪𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Application deadline: 31 Dec '25. Starts May/Sep '26. Details in the reply. Pls RT and share with anyone interested!

Interested in doing a PhD in machine learning at the University of Edinburgh starting Sept 2026? My group works on topics in vision, machine learning, and AI for climate. For more information and details on how to get in touch, please check out my website: homepages.inf.ed.ac.uk/omacaod

Working at the intersection of AI and Climate/Conservation? If so, check out our upcoming workshop which will taking place at #EurIPS in Copenhagen in December 2025. sites.google.com/g.harvard.ed... @euripsconf.bsky.social ‬

Climate AI Nordics@climateainordics.com · last yr.

🌍 Excited to announce our Workshop on AI for Climate & Conservation (AICC) at #EurIPS2025 in Copenhagen! 🎉 📢 Call for Participation: sites.google.com/g.harvard.ed... Confirmed speakers from Mistral AI, DeepMind, ETH Zurich, LSCE & more. Looking forward to meeting and discussing in Copenhagen!

The US-UK Scientific Forum on Measuring Biodiversity for Addressing the Global Biodiversity Crisis summary report is now available. I participated earlier this year and it was really enlightening. The report covers explores tools, challenges, and solutions for tackling the biodiversity crisis.

National Academy of Sciences@nasonline.org · last yr.

How do we measure life on Earth? 🌍🌱 The new summary report from the 2025 US-UK Forum on Measuring Biodiversity, hosted by the NAS and @royalsociety.org, explores tools, challenges, and solutions for tackling the #biodiversity crisis. Read here: bit.ly/460RB7R

This week at #ICML we are presenting our new work titled Feedforward Few-shot Species Range Estimation. TLDR; * Our model, FS-SINR, can estimate a species' range from few observations * It does not require an retraining for previously unseen species * It can integrate text and image information

We are not missing out! FGVC12 is excited to support "FOMO25: Foundation Model Challenge for Brain MRI". This MICCAI25 challenge is still running and there is still time to participate! Submission deadline: August 20, 2025 Join here: fomo25.github.io Check out the thread below👇

FOMO25: Foundation Model Challenge for Brain MRI@fomochallenge.bsky.social · last yr.

FOMO25 accepted at #MICCAI2025! 🚀 Excited to announce the first challenge at MICCAI focusing on the development of self-supervised pretraining of foundation models for brain MRI! 🧠 With access to a large-scale dataset, codebase, cash prices and multiple tracks. Read more ⬇️