This document discusses the PageRank algorithm developed by Larry Page for ranking web pages. It introduces the motivation for developing PageRank to bring order to the unstructured web based on link analysis. It then describes the random surfer model that PageRank is based on and how it approximates page importance based on the quantity and quality of backlinks. The document concludes by discussing applications of PageRank and some issues with the algorithm, such as its inability to account for user intent in queries.
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Alahad Group (Pvt) Ltd. is a Manpower Recruitment, Business Management and Outsourcing Group combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world's most successful companies, Alahad Group collaborates with clients to help them become high-performance Businesses and Governments. http://www.alahadgroup.com
Incremental Page Rank Computation on Evolving Graphs : NOTESSubhajit Sahu
Highlighted notes while doing research work under Prof. Dip Sankar Banerjee and Prof. Kishore Kothapalli:
Incremental Page Rank Computation on Evolving Graphs.
https://dl.acm.org/doi/10.1145/1062745.1062885
This paper describes a simple method for computing dynamic pagerank, based on the fact that change of out-degree of a node does not affect its pagerank (first order markov property). The part of graph which is updated (edge additions / edge deletions / weight changes) is used to find the affected partition of graph using BFS. The unaffected partition is simply scaled, and pagerank computation is done only for the affected partition.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
7. PageRank Pages with lots of backlinks are important Backlinks coming from important pages convey more importance to a page Problem: Rank Sink
8. Rank Sink Page cycles pointed by some incoming link Problem: this loop will accumulate rank but never distribute any rank outside
9. Escape Term Solution: Rank Source c is maximized and = 1 E(u) is some vector over the web pages – uniform, favorite page etc.
10. Matrix Notation R is the dominant eigenvector and c is the dominant eigenvalue of because c is maximized
11. Computing PageRank - initialize vector over web pages loop: - new ranks sum of normalized backlink ranks - compute normalizing factor - add escape term - control parameter while - stop when converged
12. Random Surfer Model Page Rank corresponds to the probability distribution of a random walk on the web graphs E(u) can be re-phrased as the random surfer gets bored periodically and jumps to a different page and not kept in a loop forever
13. Implementation Computing resources — 24 million pages — 75 million URLs Memory and disk storage Weight Vector (4 byte float) Matrix A (linear access)
14. Implementation (Con't) Unique integer ID for each URL Sort and Remove dangling links Rank initial assignment Iteration until convergence Add back dangling links and Re-compute
15. Convergence Properties Graph (V, E) is an expander with factor if for all (not too large) subsets S: |As| |s| Eigenvalue separation: Largest eigenvalue is sufficiently larger than the second-largest eigenvalue Random walk converges fast to a limiting probability distribution on a set of nodes in the graph.
17. Personalized PageRank Rank Source E can be initialized : – uniformly over all pages: e.g. copyright warnings, disclaimers, mailing lists archives result in overly high ranking – total weight on a single page, e.g. Netscape, McCarthy great variation of ranks under different single pages as rank source – and everything in-between, e.g. server root pages allow manipulation by commercial interests
18. Applications I Estimate web traffic – Server/page aliases – Link/traffic disparity, e.g. porn sites, free web-mail Backlink predictor – Citation counts have been used to predict future citations – very difficult to map the citation structure of the web completely – avoid the local maxima that citation counts get stuck in and get better performance
19. Applications II - Ranking Proxy Surfer's Navigation Aid Annotating links by PageRank (bar graph) Not query dependent
20. Issues Users are no random walkers – Content based methods Starting point distribution – Actual usage data as starting vector Reinforcing effects/bias towards main pages How about traffic to ranking pages? No query specific rank Linkage spam – PageRank favors pages that managed to get other pages to link to them – Linkage not necessarily a sign of relevancy, only of promotion (advertisement…)
23. Conclusion PageRank is a global ranking based on the web's graph structure PageRank use backlinks information to bring order to the web PageRank can separate out representative pages as cluster center A great variety of applications
