The document discusses Melvin Zhang's research project on finding gene teams. It provides an overview of conserved gene clusters and gene teams. Melvin Zhang's project involves developing an algorithm called FindTeams that can compute the gene teams of two permutations in O(n lg^2 n) time. Over the years, Melvin Zhang and other researchers worked to improve the algorithm's time complexity for this problem and related problems such as constructing gene team trees.
This document introduces Monte Carlo methods and their application to the game of Go. It discusses how Monte Carlo methods can be used to simulate games and approximate properties without a closed-form solution. It also describes the multi-armed bandit problem and the upper confidence bound algorithm for exploration-exploitation. Finally, it outlines how the UCT algorithm extends upper confidence bounds to tree search for move selection in Monte Carlo Go programs.
This document discusses adversarial search techniques for two-agent games with perfect information. It introduces the minimax procedure and how it recursively assigns values to nodes in a game tree by maximizing the value for the maximizing agent and minimizing for the minimizing agent. The alpha-beta pruning technique is described which improves search efficiency by pruning subtrees that cannot alter the minimax value of the root. Examples of applying minimax and alpha-beta to tic-tac-toe are provided. The document also discusses handling games of chance using expectimax search and learning effective evaluation functions from self-play.
Adversarial search is an algorithm used in game playing to plan ahead when other agents are planning against you. The minimax algorithm determines the optimal strategy by assuming the opponent will make the best counter-move. It searches the game tree to find the move with the highest minimum payoff. α-β pruning improves on minimax by pruning branches that cannot affect the choice of move. State-of-the-art game programs use techniques like precomputed databases, deep search trees, and pattern knowledge bases to defeat human champions at games like checkers, chess, and Othello.
Those are the slides for my Master course on Monte Carlo Statistical Methods given in conjunction with the Monte Carlo Statistical Methods book with George Casella.
1) The document summarizes research into synthesizing the consonants /pi/, /ti/, and /ki/ from the vowel /i/ using signal processing methods.
2) It describes the synthesis methods for each consonant, which involve modifying features of the spectrogram of /i/, like adding noise or changing amplitudes.
3) Two test subjects provided feedback on the intelligibility of the synthesized consonants, finding /ki/ to be most intelligible and disagreement on /pi/ and /ti/.
The document discusses Melvin Zhang's research project on finding gene teams. It provides an overview of conserved gene clusters and gene teams. Melvin Zhang's project involves developing an algorithm called FindTeams that can compute the gene teams of two permutations in O(n lg^2 n) time. Over the years, Melvin Zhang and other researchers worked to improve the algorithm's time complexity for this problem and related problems such as constructing gene team trees.
This document introduces Monte Carlo methods and their application to the game of Go. It discusses how Monte Carlo methods can be used to simulate games and approximate properties without a closed-form solution. It also describes the multi-armed bandit problem and the upper confidence bound algorithm for exploration-exploitation. Finally, it outlines how the UCT algorithm extends upper confidence bounds to tree search for move selection in Monte Carlo Go programs.
This document discusses adversarial search techniques for two-agent games with perfect information. It introduces the minimax procedure and how it recursively assigns values to nodes in a game tree by maximizing the value for the maximizing agent and minimizing for the minimizing agent. The alpha-beta pruning technique is described which improves search efficiency by pruning subtrees that cannot alter the minimax value of the root. Examples of applying minimax and alpha-beta to tic-tac-toe are provided. The document also discusses handling games of chance using expectimax search and learning effective evaluation functions from self-play.
Adversarial search is an algorithm used in game playing to plan ahead when other agents are planning against you. The minimax algorithm determines the optimal strategy by assuming the opponent will make the best counter-move. It searches the game tree to find the move with the highest minimum payoff. α-β pruning improves on minimax by pruning branches that cannot affect the choice of move. State-of-the-art game programs use techniques like precomputed databases, deep search trees, and pattern knowledge bases to defeat human champions at games like checkers, chess, and Othello.
Those are the slides for my Master course on Monte Carlo Statistical Methods given in conjunction with the Monte Carlo Statistical Methods book with George Casella.
1) The document summarizes research into synthesizing the consonants /pi/, /ti/, and /ki/ from the vowel /i/ using signal processing methods.
2) It describes the synthesis methods for each consonant, which involve modifying features of the spectrogram of /i/, like adding noise or changing amplitudes.
3) Two test subjects provided feedback on the intelligibility of the synthesized consonants, finding /ki/ to be most intelligible and disagreement on /pi/ and /ti/.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
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.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
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2. Abstract
• On algorithm for computer Shogi (Japanese
chess)
• Contents
– Exhibition of Dobutsu Shogi
– Min-max method (conventional)
– Monte-Carlo method (conventional)
– Win rate first search (presented)
3. Dobutsu shogi
• This slide mentions computer game
algorithm by using Dobutsu Shogi
• Dobutsu Shogi: a miniature shogi
• Shogi: Japanese chess
• Dobutsu: animal
• Normal shogi is too large to examine new
methods
4. Rule of Dobutsu Shogi 1
Five kind of pieces
Initial position is as figure
Win if you catch lion
Win if your lion reaches
to opposite end
Chick promotes
chicken
5. Rule of Dobutsu Shogi 2
All pieces move by one step
vertical horizontal and
forward forward-diagonal
around 8 diago vertical
squares nal horizontal
You can reuse (drop) the pieces that you took
6. Copy right of Dobutsu shogi
• I do not know who has copy right
– FUJITA Maiko (illustration)
– KITAO Madoka (making rule)
– LPSA (the two designers had belonged to)
– GENTOSHA Education (toy seller)
7. Illustration on this slide
• Because of that complex copy right, I use
the illustrations on the website below in this
slide, instead of FUJITA's ones
• “SOZAIYA JUN”
• (http://park18.wakwak.com/~osyare/)
8. Exhibition initial position
Black: win rate first
search (presented)
White: min-max
method, search depth
9, evaluation function
is composed by only
piece value
(conventional)
39. Exhibition 31st move
Black took chick by
lion, and white
resigned
After it, white drops giraffe on side of
lion, black giraffe takes elephant and
check, white lion takes it, black chick
advances, white lion moves backward,
black drops chick, check mate
40. Min-max method
• A conventional method
• Today the most successful method for shogi
• Explanation using tree structure from next
page
41. Min-max Example: 3 depth
Present board position
after 1 and 2 moves
Board position
Board position after 3 moves
43. Scores after 2 moves are
maximum of each score
-8
23
23
5
5
-9
Min-max
3
10
10
-3
-3
-4
44. Scores after 1 moves are
minimum of each score
-8
23
23
5
5
5
-9
Min-max
3
10
10
-3
-3
-3
-4
45. Select the move having
maximum score
-8
23
23
5
5
5
-9
5
Min-max
3
10
10
-3
-3
-3
-4
46. Min-max method
• Theoretically you can select the move that
has the maximum score after N moves
• Theoretically if we could obtain the score of
the end of the game, we would always win
the game
• Practically because of too large
computational cost, we cannot calculate all
moves
47. Min-max method
• Although many methods for reducing
computational cost is presented, they will
be not mentioned this slide (It is called
pruning to reduce the number of searched
nodes)
48. Conclusion of min-max method
• It uses tree structure
• Scores after N moves are needed
• Pruning is needed
49. Monte-Carlo method
• While I do not know the history of Monte-
Carlo method, it have been successful for
computer “go” (precisely successful by
Monte-Carlo tree search)
• They say that it is difficult to apply
computer shogi (or chess-like game) yet
50. Outline of Monte-Carlo
first move • Repeat random
moves
• Then game finishes
random move
and winner is
playout
revealed
• making game end by
random moves is
called playout
end of game
51. Outline of Monte-Carlo
• Repeat playout
• Obtain win rate of
the first move
• (number of win) /
(number of playout)
• Select move having
highest win rate at
the last
52. Outline of Monte-Carlo
• Outline is only it
• As to “Go”, this method has become
stronger by combining tree structure and
making Monte-Carlo tree search (this slide
does not mention it)
• Another improvement is that playout uses
moves by knowledge of “Go” instead of
simple random moves
53. Example of knowledge of “Go”
• Observe 3x3 squares
• Set low probability to drop
black stone the center of
above figure
• Set high probability to drop
black stone the center of
below figure
54. Monte-Carlo for shogi
• Simple Monte-Carlo method does not work
for shogi (too many bad moves appear)
• A causal must be that few moves in all legal
moves are good on shogi
• I do not want to use knowledge of shogi by
neither machine learning nor manual setting
55. Why Monte-Carlo for shogi
• Ability to determine the move by result of
the end of game, which seems beautiful
• No evaluation function is needed, no preset
knowledge is needed
56. Discussion Monte using tree
green and red
equal win rate between
Simple random moves lead
Truth is that green win and red lose
It tells importance of tree structure
57. Discussion Monte using tree
after 3 moves
Suppose you obtain win rate
0.1 0.3 0.7 0.8 0.2 0.6 0.9 0.4
Obtain win rate of green and red from
These 3-move-after rates by playout
58. Discussion Monte using tree
ones of min-max method
Ideally the rates are equal to
0.3 0.6
0.3 0.8 0.6 0.9
0.1 0.3 0.7 0.8 0.2 0.6 0.9 0.4
59. Discussion Monte using tree
• Q: How do you calculate
parent node 0.6 by children
nodes 0.2 and 0.6
0.6
• A: Ignore 0.2
0.2 0.6
60. Discussion Monte using tree
• Q: How do you ignore 0.2?
• A1: Always search maximum
0.6 win rate node
• A2: sometimes search through
node randomly
0.2 0.6
61. Discussion Monte using tree
maximum win rate
Search node that has
0.1 0.3 0.7 0.8 0.2 0.6 0.9 0.4
This tactics finds the best path
62. Win rate first search
• Remember win rate of searched node
• Almost always search node that has
maximum win rate
• Sometimes search randomly (ideally it is
not needed)
• Then this algorithm finds the best move
63. Additional explanation
• Update win rate at every playout
• Keep numerator and denominator as win
rate
• Add constant number to both numerator and
denominator when win the playout
• Add constant number to only denominator
when lose the playout
64. Problems of presented method
• Win rates of the nodes that have not been
searched are mentioned from the next pages
• Many other issues must be hiding, though I
have not defined them
65. Unreached node
• On the node that has
not been searched
and no win rate
0.4 0.6 0.3
unreached
66. Another win rate
• Before this page, knowledge of shogi does
not appear and only graph is used
• This win rate uses knowledge of shogi
• Win rate is calculated by kind of moves
• For example, taking piece, promotion, and
etc.
67. Another win rate
• Calculate win rate by these factors
– Piece position before and after move
– Kind of pieces moving and taken
– Is position whether controlled or not
• Win rate table for all combination of these
factors is prepared
• These win rates are learned by playout,
whose values are not prepared
68. Another smaller win rate
• Another smaller win rate table is prepared
– Kind of pieces moving and taken
– Is position whether controlled or not
• Since it is small, it learns fast
• It is used when “another larger win rate” is
not learned yet
• If all three kinds of win rate have not been
learned, let win rate be 1
69. Conclusion of presented method
• Win rates of all searched nodes are
remembered and learned by playout
• Select node that has highest win rate in
playout (“win rate first search”)
• Sometimes select node randomly
• If win rate has not been learned, other win
rates are used
70. Condition of simulation game
• Win rate first search vs. Simple min-max
method (evaluation function is composed
by only values of pieces)
• If the game continues till 80 moves, the
game is regarded as even (special rule for
this simulation)
71. Result of simulation 1
Number
of playout 10000 30000 100000
Presented
method: 22-76 44-52 48-49
black
Presented
method: 16-81 30-68 61-35
white
Win-lose for presented method in 100 games
Some even games exist
Depth of min-max method is 6
More the playouts are, stronger the method is
72. Result of simulation 2
Depth of
min-max 4 5 6 7 8 9
Present
method: 94-6 77-20 48-49 37-61 24-73 14-85
black
Present
method: 78-21 78-20 61-35 38-57 40-52 20-74
white
Win-lose for presented method in 100 games
Some even games exist
100000 playouts for presented method
Almost same strongness to 6-depth min-max
73. Impression by human viewer
• Frequently presented method take bad
moves
• Although it is a variation of Monte-Carlo
method, it can find mate route
• It is good at finding narrow route
• Difference of the number of playout shows
clearly difference of strongness
74. Conclusion and future issue
• Conclusion
– Playout by win rate first
– Select moves without preset knowledge
– Select moves by result of playout
• Future
– Someone can apply it to “Go” or other
chess-like games
– I return to research speech signal
processing