Leilão de PPP na educação do RS prevê gasto 5 vezes maior para apenas 4% da rede estadual, de acordo com economista

https://fed.brid.gy/r/https://www.brasildefato.com.br/2026/06/17/leilao-de-ppp-na-educacao-do-rs-preve-gasto-5-vezes-maior-para-apenas-4-da-rede-estadual-de-acordo-com-economista/

Почему A/B-тест не подходит для оценки ранжирования и что с этим делать

Всем привет! Меня зовут Вардан Манучарян , я аналитик в команде Монетизации Авито , и мы отвечаем за механику алгоритмов продвижения, то есть управляем порядком, в котором пользователи видят объявления. Для этого нам нужно отслеживать, как изменения в ранжировании влияют на бизнес и покупателей. В этой статье расскажу про интерливинг , — метод, который помогает корректно проводить A/B-тесты с изменением ранжирования. Статья будет интересна аналитикам, которые проводят много A/B-тестов.

https://habr.com/ru/companies/avito/articles/1043880/

#абтесты #ранжирование #сетевые_эффекты #counterfactual_interleaving #интерливинг #сплиттестирование #mde

Почему A/B-тест не подходит для оценки ранжирования и что с этим делать

Всем привет! Меня зовут Вардан Манучарян , я аналитик в команде Монетизации Авито , и мы отвечаем за механику алгоритмов продвижения, то есть управляем порядком, в котором пользователи видят...

Хабр
GitHub - reqvire-org/reqvire: Semantic engineering graph for building verifiable and traceable systems.

Semantic engineering graph for building verifiable and traceable systems. - reqvire-org/reqvire

GitHub
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review

Context: Machine Learning (ML) has become widely adopted as a component in many modern software applications. Due to the large volumes of data available, organizations want to increasingly leverage their data to extract meaningful insights and enhance business profitability. ML components enable predictive capabilities, anomaly detection, recommendation, accurate image and text processing, and informed decision-making. However, developing systems with ML components is not trivial; it requires time, effort, knowledge, and expertise in ML, data processing, and software engineering. There have been several studies on the use of model-driven engineering (MDE) techniques to address these challenges when developing traditional software and cyber-physical systems. Recently, there has been a growing interest in applying MDE for systems with ML components. Objective: The goal of this study is to further explore the promising intersection of MDE with ML (MDE4ML) through a systematic literature review (SLR). Through this SLR, we wanted to analyze existing studies, including their motivations, MDE solutions, evaluation techniques, key benefits and limitations. Results: We analyzed selected studies with respect to several areas of interest and identified the following: 1) the key motivations behind using MDE4ML; 2) a variety of MDE solutions applied, such as modeling languages, model transformations, tool support, targeted ML aspects, contributions and more; 3) the evaluation techniques and metrics used; and 4) the limitations and directions for future work. We also discuss the gaps in existing literature and provide recommendations for future research. Conclusion: This SLR highlights current trends, gaps and future research directions in the field of MDE4ML, benefiting both researchers and practitioners

arXiv.org

Hunting CVE-2026-41096 (Windows DNS Client RCE, CVSS 9.8) in Advanced Hunting?

DeviceProcessEvents
| where Timestamp > ago(7d)
| where InitiatingProcessFileName =~ "svchost.exe"
| where InitiatingProcessCommandLine has_any ("dnscache", "NetworkService")
| where FileName !in~ ("conhost.exe", "WerFault.exe", "wermgr.exe")
| project Timestamp, DeviceName, FileName, ProcessCommandLine
| order by Timestamp desc

#CVE202641096 #KQL #ThreatHunting #MDE

Running Ubuntu 26.04 LTS as a daily driver, enrolled in Microsoft Intune with MDE, and it just works.

Linux endpoint management has come a long way. Zero friction, full compliance.

#Ubuntu #Intune #MDE #Linux #EndpointSecurity #Microsoft

📣📢 Announcing the 1st edition of the #workshop on #Quantum #Modeling, co-located with MODELS'26

Join us to explore the combination of quantum for model-driven engineering and #MDE for the development of quantum #hybrid systems

Beyond paper presentations, we plan to have a session to discuss and write down together a roadmap for this exciting area! 🤯

Details: ➡️ ➡️➡️ https://quantum-modeling-workshop.github.io/

QMod – 1st Workshop on Quantum Modeling – MODELS 2026

QMod 2026 — the 1st Workshop on Quantum Modeling, co-located with MODELS 2026. Bringing together model-driven engineering and quantum computing communities.

Payload: luad.exe (family: Alevaul)
SHA256: 88ec32a311b56441cfe6126b7780f073f36dfb8808de0dab9219d1a0be9c01ac
VT: https://www.virustotal.com/gui/file/88ec32a311b56441cfe6126b7780f073f36dfb8808de0dab9219d1a0be9c01ac
#MDE #Malware #IOC
VirusTotal

VirusTotal

⚠️ Heads up #infosec community
Found a malicious GitHub repo posing as a curated list of cybersecurity Telegram channels.
Every link in the README points to the same ZIP payload containing luad.exe (malware family: Alevaul). Detected by Microsoft Defender before execution.
VT 0/91 on URL but MDE flagged it as True Positive. Classic evasion.
🔗 https://github.com/simplefastfunnels254/tg-cybersec
Reported to GitHub under Active Malware / DSA Article 16.
#CyberSecurity #ThreatIntel #MDE #Malware #GitHub #OSINT

#WOBSGE – Überraschung

Bin ein bisschen müde. Müde über den Trainer zu lesen und auch müde über den Trainer zu schreiben. Aus diesem Grund versuche ich es heute weitestgehend zu vermeiden.

Auswärts in Wolfsburg also. Die Ausgangslage: Einzig realistisches Ziel in dieser Saison: Verteidigung von Platz 7. Aktuell zwei Punkte auf den, sehr manierlich auf drei Hoch

https://maintracht.blog/2026/04/11/wobsge-ueberraschung/

#Bundesliga #MMV #Auswrts #Mentalitt #Mde #Plan #Startpltze