Masaki Shiraishi / 白石将晃
823 posts

Masaki Shiraishi / 白石将晃
@masawhitestone
Quantum Algorithm & ML Engineer | Applied Physics Undergrad (Year 3) @waseda_univ | AI4Quantum/Science | Quantum4AI | GenQAI | QAI4Science | Intern @Jij_Inc_JP



英語リスニング壊滅勢なんだけど、これめちゃくちゃほしい。 翻訳ではなくリアルタイム文字起こしにだけ使う前提で。 youtu.be/RBlNOnEiRCI




🫱 Introducing 𝐍𝐞𝐮𝐫𝐚𝐥 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫s: 𝐰𝐡𝐚𝐭 𝐢𝐟 𝐀𝐈 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐮𝐬𝐞 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫𝐬 𝐛𝐞𝐭𝐭𝐞𝐫, 𝐛𝐮𝐭 𝐛𝐞𝐠𝐢𝐧𝐬 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐭𝐡𝐞 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐢𝐭𝐬𝐞𝐥𝐟? Beyond today's conventional computers, agents, and world models, Neural Computers (NCs) are new frontiers where computation, memory, and I/O move into a learned runtime state. We ask: whether parts of runtime can move inward into the learning system itself. This is our first step toward the Completely Neural Computer (CNC): a general-purpose neural computer with stable execution, explicit reprogramming, and durable capability reuse. Work done with Mingchen Zhuge (@MingchenZhuge), Changsheng Zhao, Haozhe Liu (@HaoZhe65347 ), Zijian Zhou (@ZijianZhou524 ), Shuming Liu (@shuming96 ), Wenyi Wang (@Wenyi_AI_Wang ), Ernie Chang (@erniecyc ), Gael Le Lan, Junjie Fei, Wenxuan Zhang, Zhipeng Cai (@cai_zhipeng ), Zechun Liu (@zechunliu ), Yunyang Xiong (@YoungXiong1 ), Yining Yang, Yuandong Tian (@tydsh ), Yangyang Shi, Vikas Chandra (@vikasc), Juergen Schmidhuber (@SchmidhuberAI)

私が東大から香港に移ったわけ 研究費と待遇に圧倒的な格差が生じている 最初の5年間に約1億円の研究費をオファーされました。東大では教授の場合、年間約200万円、初年度は準備資金としてさらに200万円を頂けますが、これでは全然足りません。 nikkei.com/article/DGXZQO…

Our paper “Exponential Quantum Advantage in Processing Massive Classical Data” proves that quantum machines can solve common machine learning tasks using exponentially less memory than a classical machine would require. Much further work will be needed to translate this theory into practice. But because modern AI is often hampered by insufficient memory, this finding bolsters our confidence that quantum AI can eventually have a broad impact on daily life. This project was led by the remarkable Caltech student @haimengzhao and inspired by the vision of @RobertHuangHY, with essential contributions from all our collaborators. Here Haimeng tells the story. quantumfrontiers.com/2026/04/09/unl…







