Tootfinder

https://www.forbes.com/sites/thomasbrewster/2025/06/05/trump-pardoned-corellium-founder-now-selling-cyber-business-to-cellebrite/
Trump Pardoned Him. Now He’s Selling His Cyber Business For $200 Mil…

Cellebrite To Acquire Phone Forensics Startup Corellium For $200 Million
Corellium founder and CEO Chris Wade is selling his startup to Cellebrite, law enforcement’s favorite cellphone forensics business.

Grapheme-Coherent Phonemic and Prosodic Annotation of Speech by Implicit and Explicit Grapheme Conditioning
Hien Ohnaka, Yuma Shirahata, Byeongseon Park, Ryuichi Yamamoto
https://arxiv.org/abs/2506.04527

Grapheme-Coherent Phonemic and Prosodic Annotation of Speech by Implicit and Explicit Grapheme Conditioning
We propose a model to obtain phonemic and prosodic labels of speech that are coherent with graphemes. Unlike previous methods that simply fine-tune a pre-trained ASR model with the labels, the proposed model conditions the label generation on corresponding graphemes by two methods: 1) Add implicit grapheme conditioning through prompt encoder using pre-trained BERT features. 2) Explicitly prune the label hypotheses inconsistent with the grapheme during inference. These methods enable obtaining p…

HHS Secretary Kennedy told us not to listen to him. We agree (STAT)
https://www.statnews.com/2025/06/04/rfk-jr-hhs-cdc-vaccines-covid-pregnant-women-children-policy/
http://www.memeorandum.com/250604/p49#a250604p49

Dzisiejszy #SierraEcho upłynął pod znakiem, hmmm... wołania stacji DX.
Jak to "wołanie" wygląda u SQ7SE:
czat podrzuca np. Azory na 14262
idzie wołać
ktoś się dziwnie stroi
"dobra wołamy Azora"
woła raz
zaczyna się bawić Tipply, a tam zły dżingiel do donejta XD
"to teraz wołamy Azora"
dalej gada do czatu
"aaa…

Es gibt den Hashtag #ZeigtHerEureFächer !? Da muss ich natürlich zwei meiner inzwischen 20 Fächer zeigen. In jedem Raum befinden sich ein paar, taktisch verteilt, und ich gehe seit Jahren nirgendwo mehr ohne einen hin. Selbst bei milden Temperaturen ist mir oft vor allem in Innenräumen schnell zu warm.
Das sind zwei besonders hübsche Exemplare, das zweite Bild ist einer de…

Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng
https://arxiv.org/abs/2506.00794 htt…

Predicting Empirical AI Research Outcomes with Language Models
Many promising-looking ideas in AI research fail to deliver, but their validation takes substantial human labor and compute. Predicting an idea's chance of success is thus crucial for accelerating empirical AI research, a skill that even expert researchers can only acquire through substantial experience. We build the first benchmark for this task and compare LMs with human experts. Concretely, given two research ideas (e.g., two jailbreaking methods), we aim to predict which will perform better…

Ravens star confirms Cowboys tried trading for him before Pickens deal https://www.si.com/nfl/cowboys/news/baltimore-ravens-rashod-bateman-confirms-dallas-cowboys-trade-talks

Temperature and Magnetic-Field Dependence of Energy Relaxation in a Fluxonium Qubit
Lamia Ateshian, Max Hays, David A. Rower, Helin Zhang, Kate Azar, R\'eouven Assouly, Leon Ding, Michael Gingras, Hannah Stickler, Bethany M. Niedzielski, Mollie E. Schwartz, Terry P. Orlando, Joel \^I-j. Wang, Simon Gustavsson, Jeffrey A. Grover, Kyle Serniak, William D. Oliver

Temperature and Magnetic-Field Dependence of Energy Relaxation in a Fluxonium Qubit
Noise from material defects at device interfaces is known to limit the coherence of superconducting circuits, yet our understanding of the defect origins and noise mechanisms remains incomplete. Here we investigate the temperature and in-plane magnetic-field dependence of energy relaxation in a low-frequency fluxonium qubit, where the sensitivity to flux noise and charge noise arising from dielectric loss can be tuned by applied flux. We observe an approximately linear scaling of flux noise wit…

BuzzFeed brackets are 100% accurate and do not lie. And only 5% agree with me? Go home 😂

The Instrumental Background of EP/FXT
Juan Zhang, Yong Chen, Shumei Jia, Haisheng Zhao, WeiWei Cui, Tianxiang Chen, Juan Wang, Hao Wang, Jin Wang, Chengkui Li, Xiaofan Zhao, Ju Guan, Dawei Han, Jingjing Xu, Liming Song, Hua Feng, Shuangnan Zhang, Weimin Yuan
https://arxiv.org/abs/2507.00510

The Instrumental Background of EP/FXT
The in-flight instrumental background of the Follow-up X-ray Telescope (FXT) onboard Einstein Probe (EP) mission is analysed in this work by utilizing observations collected during Performance Verification phase and subsequent dedicated filter wheel closed observations. The instrumental backgrounds of the two FXT modules are consistent with each other, with an average rate of $\sim 4\times10^{-2}$\,counts/s/keV at 0.5--10\,keV for each module. The background is nearly uniformly distributed acro…