Mastodawn

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And follow the authors Sukannya Purkayastha, Nils Dycke, and Iryna Gurevych from the Ubiquitous Knowledge Processing Lab (UKP Lab), Technische Universität Darmstadt and National Research Center for Applied Cybersecurity ATHENE, as well as Anne Lauscher from the Data Science Group, University of Hamburg.

See you this week in Rabat 🕌! #EACL2026

#EACL2026 #PeerReview #ScientificPublishing #AIforScience #LLMs #DialogueSystems #Evaluation #ResearchIntegrity #NLP #MachineLearning #UKPLab

it's B! Cavello 🐝5d ago

For anyone in #ATX today, I’ll be moderating this panel at noon on #AIForScience for the British Consulate’s #SXSW “UK House.”
No badges required!
https://luma.com/xfqv2itr

UKHOUSE @ SXSW: AI for Science - How the UK & US Are Building the Future of Discovery · Luma

How can AI help solve the hardest scientific problems of our time? Join the UK Government at SXSW for a flagship conversation on AI for Science, bringing…

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UKP Lab Mar 11

Follow the authors Osama Mohammed Afzal and Iryna Gurevych from the Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt, as well as Preslav Nakov from MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) and Tom Hope from Ai2.

See you this #EACL2026 in Rabat 🕌!

#UKPLab #NLP #NLProc #AI #PeerReview #AIforScience #ScientificPublishing #NoveltyDetection #Evaluation #OpenScience

sayzard Feb 19

Google India (@GoogleIndia)

AI가 문제 해결 속도 향상뿐 아니라 과학적 발견과 확장성에서 새로운 가능성을 연다고 언급하며, 기존의 AI for Science 펀드를 기반으로 전 세계를 대상으로 한 신규 3천만 달러 규모의 글로벌 펀드를 출범한다고 발표했습니다. 과학 연구 지원을 위한 AI 자금 조성 확대 소식입니다.

https://x.com/GoogleIndia/status/2024119878656069723

#ai #science #funding #research #aiforscience

Google India (@GoogleIndia) on X

AI isn’t just helping people solve problems faster, it’s unlocking new possibilities for discovery and scalability. To support organizations at the forefront of scientific discovery and build on our inaugural AI for Science fund, we are launching a new $30 million global

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Winbuzzer Feb 18

https://winbuzzer.com/2026/02/18/google-org-30-million-ai-science-funding-initiative-xcxwbn/

Google.org Launches $30M AI for Science Global Funding Initiative

#AI #Google #AIResearch #GoogleDeepMind #Philanthropy #BigTech #Nonprofits #LifeSciences #AIforScience #ScientificResearch

sayzard Feb 11

Melissa Du (@bearablylight)

LLMs만으로 암을 해결할 수 없다는 문제 제기와 함께, 현재 AI for science 담론에서 빠진 요소들과 지능 외에 필요한 것들에 대해 논하는 글을 썼다는 내용입니다. 작성자는 해당 글에서 @swyx와 함께 작업한 점을 언급하고 있습니다.

https://x.com/bearablylight/status/2021288070654611853

#llms #aiforscience #ai #research

Melissa Du (@bearablylight) on X

llms won't solve cancer by themselves wrote about what's missing from the current AI for science discourse and why we need more than just intelligence was an absolute pleasure to work with @swyx on this piece!

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sayzard Feb 3

Mike Cottone (@M_Cottone)

labenz가 크로스포스트한 Latent Space Podcast 에피소드를 추천하며, 2026년 이후 과학 및 바이오 분야에서 AI 발전이 매우 클 것이며 연구·응용 측면에서 큰 도약이 기대된다는 전망을 공유함.

https://x.com/M_Cottone/status/2018519307748315183

#ai #aiforscience #bio #podcast

Mike Cottone (@M_Cottone) on X

Great pod today from @labenz feed - crosspost of the @latentspacepod 2026 and beyond is going to be incredible in AI for science and bio https://t.co/tRL3ecvDcd

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Sinclair Ta Jan 28

OpenAI Prism: Free GPT-5.2 LaTeX Workspace—Science's Cursor Moment

OpenAI launches Prism: free cloud LaTeX editor with GPT-5.2 baked in—proofreads, cites, diagrams from sketches, unlimited collab (no Overleaf paywalls). From acquired Cricket (Reddit DM'd): AI-first science writing—assess claims, lit search, equation fixes in context.

https://buff.ly/CZ1Ojlt
#OpenAI #PrismAI #LaTeX #AIForscience

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Javier Manuel Martín Alonso Jan 26

@sflorg Thanks for the bookmark and interest in follow-up! My TMST already solves Lattice QFT with precise T0 thresholds in Python/NumPy. More on GitHub soon. 😊 #QFT #OpenScience #QuantumSimulation #LatticeQCD #AIforScience

🔗 https://github.com/JavierMartinAlonso1980/entanglement-dominance-tmst

Reddit Tech VN Bot Jan 25

Mô hình ngôn ngữ tổng quát (LLM) như GPT-2 và Qwen-3 có khả năng phát hiện cấu trúc sinh học một cách đáng kinh ngạc, đạt đến 100% độ chính xác trong nhận diện đồng nguyên protein. Nghiên cứu cho thấy kiến thức cấu trúc ẩn trong ngôn ngữ giúp mô hình "gấp nếp tinh thần", suy luận hình dạng protein như trí tuệ sinh học. Sự tương đồng sâu giữa ngôn ngữ loài người và "ngôn ngữ của sự sống" mở ra hướng tiếp cận tối giản cho trí tuệ nhân tạo trong khoa học. #AIforScience #BioDiscovery #LLMs #ProteinS