👇 Full job ad with all details on the UKP Lab page: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2026_intertext_postdoc.en.jsp
Innovation Group Lead - Computer Science
Brentwood School
The Computer Science Innovation Group Lead will mentor exceptional high school students working on independent study projects
See the full job description on jobRxiv: https://jobrxiv.org/job/brentwood-school-27778-innovation-group-lead-computer-science/
#agenticAI #aiagentengineering #aiforscience #computerscience #multiyearindepend...
https://jobrxiv.org/job/brentwood-school-27778-innovation-group-lead-computer-science/?fsp_sid=11657
Derya Unutmaz, MD (@DeryaTR_)
GPT-5.5 Pro가 복잡한 생체의학 실험 결과를 처음으로 완전히 예측한 모델로 소개됐다. 2주에 걸친 유전공학 면역암 실험 설계를 바탕으로 실제 실험 결과를 정확히 맞췄다고 주장해, AI의 과학 연구 예측 능력 측면에서 중요한 성과로 보인다.
GPT-5.5 Pro is the first model ever to completely predict the outcome of a highly complex biomedical experiment we had performed in the lab: I had given GPT-5.5 Pro the design of a highly complex, two-week long immune cancer experiment involving genetically engineered killer
AI Leaks and News (@AILeaksAndNews)
OpenAI의 내부 모델이 새로 에르되시(Erdos) 문제 3개를 추가로 해결했다는 소식입니다. 아직 ChatGPT에는 공개되지 않은 차기 모델 계열이 수학 추론에서 성과를 보였다는 점에서, AI for science와 고난도 추론 능력의 진전을 보여주는 중요한 신호입니다.
An internal model at OpenAI has solved three more Erdos problems (not an April fools joke) An AI model not currently available in ChatGPT that many are expecting is a version of the upcoming Spud model has solved three new Erdos problems AI for science and mathematics is here
Work by Nils Dycke & Iryna Gurevych (Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt and National Research Center for Applied Cybersecurity ATHENE)
See you at #EACL2026 in Rabat 🕌!
#UKPLab #LLMs #PeerReview #AIforScience #TrustworthyAI #NLP #Evaluation
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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
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
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.
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
UKP Lab
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