Editors:
Tianyin Xu, Akshitha Sriraman, Baris Kasikci, and Dong Du
Protected: The Next Horizon of System Intelligence
There is no excerpt because this is a protected post.
Ethical and Moral Fraying due to Intellectual Conflicts in Paper Reviews
Editor’s note: This article is cross-posted from SIGARCH. We believe that the article is of importance to SIGOPS conferences and thus republish as a SIGOPS blog post to disseminate the message further. In computer architecture conferences, “expert”/”knowledgeable” reviewers often are conflicted intellectually with at least some of the submissions they review (e.g., the submissions directly
Lessons from Five Years of Artifact Evaluation at EuroSys
Reproducibility is a cornerstone of scientific progress, yet in systems research, it remains a persistent challenge. Over the past five years, the Artifact Evaluation (AE) process at the European Conference on Computer Systems (EuroSys) has aimed to address this challenge head-on. In this blog post, we reflect on what we have learned from organizing AE
The role of LLMs in academic reviewing
The past few years have witnessed a staggering acceleration in the capabilities of large language models (LLMs). What began as an intriguing toy for autocomplete has evolved into sophisticated tools capable of summarizing research papers, drafting technical arguments, and even simulating expert‑level discussion. As these models continue to improve at an astonishing rate, the question
The Academic Pipeline Stall: Why Industry Must Stand for Academia
The Research Pipeline is Stalling The U.S. National Science Foundation (NSF) froze all outgoing funding, including new awards and scheduled payments on active grants. Over 1,000 NSF research projects were abruptly canceled in a few days, resulting in roughly $739 million in halted research funding. The directive, issued with little explanation, has created chaos across the academic research
Do you know what I did this summer? My experience as an intern at an industrial research lab
Editor’s note: Summer internships are good opportunities for graduate students to learn new research problems in industry, working with researchers and practitioners, and experience different culture. In this post, Vaastav Anand from MPI-SWS shares some of his great experience at Azure Research, a young systems research group at Microsoft. Apparently, he had a lot of