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The document proposes a method called TwiNews to detect local user interests in Twitter to re-rank news search results. It uses LDA topic modeling on geotagged tweets to determine the local topical distribution, and then calculates cosine similarity between news articles and local topics to re-rank news for a given query based on local user interests. An A/B test with turkers from California and New York showed the localized ranking improved relevance by 3-7% over the baseline.
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This document promotes participation in a cultural project focused on bicycles. It mentions an exhibition, distribution of works, and promotion on Facebook and a website. It asks if the reader wants to participate, providing contact information for Brandusa Gheorghe across social media platforms.
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2. Understanding how this integration enhances test automation within the UiPath platform
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Test Automation with generative AI and Open AI.
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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3. Practical demonstrations
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Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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).
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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Presentation of the OECD Artificial Intelligence Review of Germany
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Best 20 SEO Techniques To Improve Website Visibility In SERP
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Insight demo
- 1. TwiNews: Detect local user interests in Twitter to re- rank news Xin Shuai Tuesday, October 8, 2013
- 2. Tuesday, October 8, 2013
- 3. Tuesday, October 8, 2013
- 4. Top ranked news may not satisfy all users from different geographical locations! Tuesday, October 8, 2013
- 5. Not relevant to China! Tuesday, October 8, 2013
- 6. Word Closeness Local User Interests Tuesday, October 8, 2013
- 7. How to detect the local user interests given a news query? Tuesday, October 8, 2013
- 8. How to detect the local user interests given a news query? Tuesday, October 8, 2013
- 9. Tuesday, October 8, 2013
- 10. Tuesday, October 8, 2013
- 11. Can we provide localized news ranking for users by leveraging geographical tweets? Tuesday, October 8, 2013
- 12. Tuesday, October 8, 2013
- 13. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor Tuesday, October 8, 2013
- 14. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 Tuesday, October 8, 2013
- 15. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
- 16. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
- 17. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 news 1 news 2 news 3 technology (topic 1) local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
- 18. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 news 1 news 2 news 3 technology (topic 1) local topical distribution + + + technology (topic 1) cosine similarity cosine similarity cosine similarity Tuesday, October 8, 2013
- 19. A/B Testing TwiNews 30 queries, 2 weeks 100 turkers from CA & NY +3% +7% t-test: p < 0.05 A B Tuesday, October 8, 2013
- 20. GibbsLDA++ Tuesday, October 8, 2013
- 21. localized news ranking localized user interests from Twitter Tuesday, October 8, 2013
- 22. localized news ranking localized targeted advertising localized user interests from Twitter Tuesday, October 8, 2013
- 23. localized news ranking localized targeted advertising localized deal recommendation localized user interests from Twitter Tuesday, October 8, 2013
- 24. localized news ranking localized targeted advertising localized deal recommendation localized user interests from Twitter localized music/movie recommendation Tuesday, October 8, 2013
- 25. Xin Shuai Tuesday, October 8, 2013
- 26. LDA topic modeling LDA (Latent Dirichlet Allocation) Tuesday, October 8, 2013
- 27. LDA topic modeling LDA (Latent Dirichlet Allocation) topic 1: mobile iphone facebook ipad topic 2: market stock index investor topic 3: .... .... .... Tuesday, October 8, 2013
- 28. Amazon Mechanical Turk Price: eleven cents/HITS Total Cost: over 200 dollars Tuesday, October 8, 2013
- 29. Tuesday, October 8, 2013
- 30. Tuesday, October 8, 2013
- 31. Tuesday, October 8, 2013
- 32. Tuesday, October 8, 2013