Tootfinder

Even de reacties gehoord.
NSC en BBB zijn verbijsterd en ze balen als een stekker want ze kunnen hun partij nu wel opheffen. Eigenlijk zijn ze soort van genaaid door Yesilgoz. Hun enige kans was om Geert zijn zin te geven.
Yesilgoz zelf is zogenaamd verbijsterd (buhne!) maar lacht in haar vuistje. Hoe groot kunnen ze hiermee worden bij de volgende verkiezingen? Ze eten weer een deel van de PVV op grote delen van BBB en NSC. Dat deel dat niet naar het CDA gaat, zeg maar.

どんな内容のレポートがほしいって具体的に指示していて、内容も予測したものを出力させてはいるんですが、
このぐらい周辺情報を集めて綺麗にまとめてくれると便利ですね。
AI生成とはいえ、内容は重要なものなので、記事の類と思って読んでいただければ。
あと、Hackers' Pubという、ActivityPub対応のQiita、Zennを目指したプラットフォームのテストでもあります。
ブログどこに書こうかな……って考えている方は、検討してみるといいですよ。私も少し招待コード出せます。開発者の洪民憙さんにお願いすれば確実です。

Ohrenbetäubendes Grillenzirpen.
#Dudeception

A #researchdata #zine ☺️
@… @…

Paris-based Zama, which is developing fully homomorphic encryption tech for blockchain and AI apps, raised a $57M Series B at a $1B valuation (Cate Lawrence/Tech.eu)
https://tech.eu/2025/06/25/zama-becomes-1st-i-fhe-unicorn…

Zama becomes 1st fully homomorphic encryption unicorn with $57M raise
French open source cryptography company Zama today announced a $57 million Series B funding round co-led by Blockchange Ventures and Pantera Capital, bringing Zama’s total funding to over $150 million, and its valuation to north of a billion USD.  Founded by Dr Pascal Paillier and Dr Rand Hindi, the company is building state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain. Fully homomorphic encryption (FHE) allows computations to be performed on encrypted data without…

The Exact and Approximate Tales of Boost-Breaking Cosmological Correlators
Zhehan Qin, S\'ebastien Renaux-Petel, Xi Tong, Denis Werth, Yuhang Zhu
https://arxiv.org/abs/2506.01555

The Exact and Approximate Tales of Boost-Breaking Cosmological Correlators
Cosmological correlators offer a remarkable window into the high-energy physics governing Universe's earliest moments, with the tantalising prospect of discovering new particles. However, extracting new physics from these observables requires both precise theoretical predictions of inflationary theories and accurate, analytical templates suitable for data analysis throughout parameter and kinematic spaces. In this paper, we extend the current analytical results by computing the most general boo…

@… Hängt da an der Ewe-Go-Ladesäule am Landstuhler McDonalds ein Schild? Bei öffentlichen Parkplätzen gibt es ja Schilder für E-Fahrzeuge und „während des Ladevorgangs“.
Aber an und für sich ist das schon eher scheiße, dass hier jemand anderen die Möglichkeit zum Laden nimmt.

We took a break from unpacking and organizing and did tour of local greenhouses and garden centres. We came across this humble establishment in Bradford that takes up 10 acres of growing and retail space. My wife said she has found her new favourite place. The Bad News - it's too close, only 15 minutes by car. The Good News - we have a tiny yard, so we might not go broke.
#Gardening #Zone5a

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
Wenqi Jia, Ying Huang, Jian Xu, Zhewen Hu, Sian Jin, Jiannan Tian, Yuede Ji, Miao Yin
https://arxiv.org/abs/2507.01224

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
Scientific simulation leveraging high-performance computing (HPC) systems is crucial for modeling complex systems and phenomena in fields such as astrophysics, climate science, and fluid dynamics, generating massive datasets that often reach petabyte to exabyte scales. However, managing these vast data volumes introduces significant I/O and network bottlenecks, limiting practical performance and scalability. While cutting-edge lossy compression frameworks powered by deep neural networks (DNNs) …

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder
Yongling Tang, Lulu Fan, Zhen Wan, Yating Liu, Yan Lu
https://arxiv.org/abs/2506.01216

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder
Modern time-domain astronomy will benefit from the vast data collected by survey telescopes. The 2.5 m Wide Field Survey Telescope (WFST), with its powerful capabilities, is promising to make significant contributions in the era of large sky surveys. To harness the full potential of the enormous amount of unlabeled light curve data that the WFST will collect, we have developed a semisupervised light curve classification framework. This framework showcases several unique features. First, it is o…