New paper out:
Daniel Kissling, Henrique Pereira and many nice colleagues: Building the backbone for Europe’s biodiversity monitoring.

https://www.nature.com/articles/s44358-026-00140-6

#biodiversity #monitoring #Europe #newpaper #newpublication
#xp

Anyone interested in ocean skin temperatures derived from microwave imagers? #NewPaper

This is the last in the series where we look at the uncoupled system - it's all or nothing from here on!

https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.70087

New publication in #EcologicalModelling! Benedikt Hartweg & his colleagues simulated tropical forests in #Brazil under disturbance scenarios and fitted allometries at different spatial scales. Super helpful insights for the new #BIOMASS mission by @esa

🔗 Learn more on our blog: https://www.geo.lmu.de/geographie/en/latest-news/news-overview/news/new-publication-in-ecological-modelling.html

#science #research #newpaper #ecologicalmodelling #forest #geography #remotesensing

‼️Try the new @gnutiez dashboard!
http://visual.gnutiez.de/dashboard

#medien #medienkritik #zeitung #headline #journalismus #ddj #datajournalism #datenjournalismus #newpaper

Nghiên cứu mới chỉ ra tự chủ AI thực sự không phải là mô hình lớn hơn, mà dựa trên 4 trụ cột nhận thức: Nhận thức, Lý luận, Trí nhớ và Hành động. Một khung làm việc thú vị cho các tác nhân AI tự động.

#AI #TựChủAI #NhậnThức #NghiênCứuMới #AutonomousAgents #Cognition #NewPaper

https://www.reddit.com/r/LocalLLaMA/comments/1pfk8aw/new_paper_true_ai_autonomy_isnt_about_bigger/

I would love if anyone would look at my independent research dossier, available free on Substack. I would be thrilled to receive any constructive critique or feedback that anyone has: https://open.substack.com/pub/josephcornett/p/humanai-co-authorship-as-prompt-logic?r=48ca26&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false

#ai #NewPaper #RL #GenAI #llm #JobHunt #ethics #Toottoot

Excited to share new #research I co-authored with amazing experts in the field of addiction and recovery!

In a sample of nearly 500 adults in Canada and the US with alcohol use disorder (AUD) who underwent a recovery attempt, substantial improvements in psychosocial wellbeing were reported for those who met the NIAAA definition of remission (low-risk drinking + no AUD symptoms present other than cravings).

With most focus on abstinent-based recovery and associated outcomes, these findings offer support for the use of an alternative definition of recovery!

https://doi.org/10.1111/acer.70172

#Publication #AcademicResearch #NewPaper

Glad to share the publication of our #newpaper :

A Predictive Approach to Enhance Time-Series Forecasting

By Skye Gunasekaran, Assel Kembay, Hugo Ladret, Rui-Jie Zhu, myself, Omid Kavehei and Jason Eshraghian

The lead author, Jason Eshragian, speaks most clearly about it:

For the amount of compute they burn, transformers are pretty bad at time-series data analysis. Which is pretty unsurprising if your objective is to predict the next token, one step at a time.

Brains, on the other hand, are predictive machines. Think of your daily commute to work. On Day 1, your brain was probably in overdrive to make sure you're not late, taking in all of your environment. On Day 1000, you're on full autopilot, barely burning mental energy unless something unexpected - like a major accident - forces you to adjust.

That's predictive coding in action: the brain continuously compares its expectations (no traffic) to reality (flipped car damn), then updates only when surprised.

Skye Gunasekaran has spent the past couple of years integrating this principle into Future-Guided Learning, where a "future" model guides a "past" forecasting model, dynamically minimizing surprise when reality deviates from predictions.

In our preprint, we show how drawing upon neuroscience-inspired ideas actually helps in time-series forecasting with deep learning. Efficiency isn't the only win from the brain; it's also pretty damn good at organizing long-range time-series information.

https://www.linkedin.com/feed/update/urn:li:activity:7378797683425296385/
https://www.nature.com/articles/s41467-025-63786-4
https://laurentperrinet.github.io/publication/gunasekaran-25/

We have a #NewPaper in Evolution (@journal_evo), led by Xueling Yi, on the #evolution of dietary preferences across (but not only) Phyllostomid #bats. 🦇

https://academic.oup.com/evolut/advance-article/doi/10.1093/evolut/qpaf154/8222499