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The University of Wisconsin–Madison Department of Computer Sciences is hiring tenure-track and tenured faculty at the assistant, associate, and full professor levels to join its new College of Computing & Artificial Intelligence, with appointments beginning August 2027. Outstanding candidates are sought in all areas of computer science, with particular interest this year in artificial intelligence (broadly, including embodied AI, machine learning systems, and applications across science, medicine, education, and society), security and privacy, and quantum computing.


https://jobs.wisc.edu/jobs/assistant-associate-full-professor-of-computer-sciences-madison-wisconsin-united-states

The University of Cambridge is hiring an Assistant/Associate Professor in AI and Machine Learning to lead fundamental research that rethinks current approaches and develops next-generation models, from post-transformer architectures to probabilistic, causal and robust learning.

https://www.cam.ac.uk/jobs/university-assistantassociate-professor-in-artificial-intelligence-and-machine-learning-nr49860

An Error Taxonomy for Property Graph Data by Valerie Restat, Dominique Hausler, Désirée Bruns, and Uta Störl

Despite widespread predictions of AI-driven disruption, mass layoffs and a jobpocalypse for new graduates have not yet arrived, as companies struggle with effective AI adoption and recent college-grad unemployment remains comparable to prior summers. In computer science and related fields, AI is mainly automating routine tasks while shifting emphasis toward human strengths such as judgment, leadership, creativity, and directing AI systems, marking a period of transition rather than wholesale replacement. Over time this could free people from repetitive work and open new opportunities, provided organizations invest in re-skilling and rethink entry-level roles.

https://www.library.hbs.edu/working-knowledge/ai-hasnt-spurred-widespread-layoffs-yet-why-not

Nearly 90% of fictional stories generated by current large language models like ChatGPT, Claude, Gemini, and OLMo recycle the same handful of elements—most often a lighthouse, a keeper, and names such as Elias, Mara, or Elara—according to new research that analyzed 20,000 AI-written tales. More than half of the outputs feature a lighthouse, a pattern the authors trace partly to mode collapse from overlapping training data and possibly to a small cluster of conversations in Cornell’s earlier WildChat dataset

https://news.cornell.edu/stories/2026/10/who-elias-lighthouse-keeper-ai-fiction-tells-same-old-story