Memonic's White Label Publisher Solution
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This document introduces Memonic's white label solution for publishers to improve reader retention on their websites. The solution allows readers to clip and save any content from a publisher's site or other sources to a personal digital archive. With a single link integration, publishers can offer this archiving capability to readers. The archive can then be accessed from any device. This helps engage readers and create a knowledge hub around the publisher's site. Memonic's business model involves an annual subscription fee per reader account. The solution aims to help publishers retain readers, improve the user experience, build their audience, and position themselves as industry innovators.
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ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
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BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
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Memonic's White Label Publisher Solution
- 1. A Publisher‘s Dream: Reader Retention An Introduction to Memonic’s White Label Solution for Publishers Online Keren Eldad , Marketing Director 20101104
- 3. Read What YOU Want: Clip any content to personal archive One link integration on editor website = White Label archive.
- 4. First Time Users: Login/account generation - how it works Single sign-on with your current login system
- 5. Registration: Focused on minimal user effort Initial use without registration focus on user adoption
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- 11. About the team Dr. Dorian Selz, CEO Felix Hürlimann, lic. ETH, Lead Retrieval Patrice Neff, Lead Engineering Toni Birrer, Lead Platform Chris Hauzenberger, ETH Lead Clients Keren Eldad, Marketing Director We’ve done it before: Built Switzerland’s 5 th largest website
- 12. „ The Proof Is In The Pudding“
- 13. Award-Winning Company CTI Startup Certified Winner W.A. De Vigier Price for Startups Winner Red Herring Top 100 Europe Winner Bronze Medal Business Idea 2010
- 14. Thanks for your time! Keren Eldad , Marketing Director +41 44 533 1068, keren@memonic.com Feldstrasse 133, CH-8004 Zurich www.memonic.com
Editor's Notes
- Components Capture - Clipping Pipeline & Storage Access - Frontend Retrieve Interaction with 3 rd Parties Infrastructure Minimalistic setup: Server inhouse, AWS for prod. setup OS: Debian Language: Python Key Services for scaling: FAI and Puppet
- Components Capture - Clipping Pipeline & Storage Access - Frontend Retrieve Interaction with 3 rd Parties Infrastructure Minimalistic setup: Server inhouse, AWS for prod. setup OS: Debian Language: Python Key Services for scaling: FAI and Puppet
- Components Capture - Clipping Pipeline & Storage Access - Frontend Retrieve Interaction with 3 rd Parties Infrastructure Minimalistic setup: Server inhouse, AWS for prod. setup OS: Debian Language: Python Key Services for scaling: FAI and Puppet
- Wir haben am Swiss Innovation Forum in Basel am 5. November gelauncht. Und innerhalb weniger Tage haben wir es bis nach Korea geschafft. Ohne ein Strich PR.