Au Gai (R. G. Kula)

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Au Gai (R. G. Kula)

Au Gai (R. G. Kula)

@Augaiko

Pro-Retweeter and on both rain and sunny days a Professor at The University of Osaka.

Katılım Şubat 2011
1.9K Takip Edilen825 Takipçiler
Au Gai (R. G. Kula) retweetledi
FSE 2026
FSE 2026@FSEconf·
Building AI dev tools people actually trust. HumanAISE 2026 (FSE’26 workshop, Montreal) invites papers on explainability, bias/fairness, human-AI workflows, and evaluation of human-AI systems in SE. Submit by Feb 12: humanaise2026.hotcrp.com #FSE2026 #AI4SE #ResponsibleAI
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FSE 2026
FSE 2026@FSEconf·
ODAI-LIB Challenge (FSE/AIWare 2026): generate software libraries on demand with GenAI. Live on-site test on unseen targets in Montreal (Jul 6). Rolling abstracts open now–Feb 27. Submit: odai-lib.github.io #FSE2026 #AIware #GenAI
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Au Gai (R. G. Kula)
Au Gai (R. G. Kula)@Augaiko·
Attention Software Ecosystem, Libraries, Reuse Researchers for AI! This competition aims to address challenges arising from software ecosystem dependencies by introducing a novel approach: On-Demand Library Generation (ODAI-LIB). odai-lib.github.io with FSE2026!
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IEEE ICSME 2026
IEEE ICSME 2026@IEEEICSME·
✨ That’s a wrap on #VISSOFT2025! Thanks to all the speakers, participants, and organizers who made it such an inspiring event.
IEEE ICSME 2026 tweet mediaIEEE ICSME 2026 tweet mediaIEEE ICSME 2026 tweet mediaIEEE ICSME 2026 tweet media
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Satya Nadella
Satya Nadella@satyanadella·
Today we’re introducing Copilot Mode in Edge, our first step in reinventing the browser for the AI age. My favorite feature is multi-tab RAG. You can use Copilot to analyze your open tabs, like I do here with papers our team has published in @Nature journals over the last year. And there is a lot more to come, including built-in actions so you can delegate tasks as you browse.
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Dong Wang
Dong Wang@dong_w11·
Are you curious about how SE researchers apply Reinforcement Learning (RL) in their SE tasks? We recently conducted a survey of RL4SE, including the trends, research topics, used RL algorithms, model design and optimization, and more! Please check it! arxiv.org/abs/2507.12483
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