Dubai launches AI-powered digital ecosystem to drive growth - Smart Cities World
Dubai launches AI-powered digital ecosystem to drive growth Smart Cities World
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Best Form Backend for Job Applications and Event Registrations in 2026
If you're collecting job applications or event registrations online, you've probably hit the same wall. Either you're overpaying for a tool like Typeform or JotForm, or you're cobbling together a Google Form that looks unprofessional and gives you zero control over where your data goes. In this article, I'll walk through the best form backends for job applications and event registrations in 2026, covering price, features, file upload support, and which one is right for your use case. Why the Right Form Backend Matters for Applications and Registrations A contact form getting 10 submissions a month is simple. A job application form getting 500 submissions a month is a different problem entirely. You need: File uploads: Candidates submit resumes, cover letters, and portfolios. High submissio
Qodo vs Diffblue: AI Test Generation Compared
Quick Verdict Qodo and Diffblue Cover address the same problem - generating unit tests automatically so developers do not have to write them by hand - but they approach it from fundamentally different angles. Qodo is a multi-language code quality platform that includes proactive test generation as one capability alongside PR code review. Diffblue Cover is a Java-exclusive test generation specialist built on symbolic AI and bytecode analysis, designed from the ground up for enterprise Java codebases. Choose Qodo if: your team works across multiple languages (Python, JavaScript, TypeScript, Go, C# alongside Java), you want test generation integrated with PR code review in a single tool, you need a free tier for evaluation, or you want the deepest available AI code review paired with test gen
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![[D] ICML Rebuttle Acknowledgement](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-hand-JvPW6jsLFTCtkgtb97Kys5.webp)
[D] ICML Rebuttle Acknowledgement
I've received 3 out of 4 acknowledgements, All of them basically are choosing Option A without changing their scores, because their initial scores were already positive. Meanwhile, the 4th reviewer had already given me a 3 and still hasn’t replied. What frustrates me is that I didn’t just clarify a few points. I ran a lot of additional experiments and wrote proofs to address every request they raised. So is this really how the process is supposed to work? Reviewers can ask for as many edits, experiments, and proofs as they want, and in the end all you get is “thanks for your response” with no score update? I’m trying to understand whether this is normal or if I just got unlucky. submitted by /u/Charming-Fail-772 [link] [comments]
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