Get ready to immerse yourself in an event that promises to reshape your cloud journey and unveil a world of opportunities! Cloud Kickstart 2.0 is your gateway to Google Cloud excellence, brought to you by GDSC NIST.
Cloud Kickstart 1.0, an electrifying event designed to ignite your journey into the dynamic world of Google Cloud. Hosted by GDSC NIST, this experience will be a stepping stone towards transforming your career and perspective.
30 Days of Google Cloud program will provide you an opportunity to kickstart your career in cloud and get hands-on practice on Google Cloud - the tool that powers apps like Google Search, Gmail, and YouTube. Along the way, you will learn & practice concepts like computing, application development, big data & machine learning using cloud.
The 30 Days of Google Cloud program provides participants the opportunity to kickstart their career in cloud computing through hands-on practice on the Google Cloud Platform via Qwiklabs. The month-long program in September and October 2021 consists of two tracks - Cloud Engineering and Data Science & Machine Learning - made up of self-paced labs that provide temporary credentials to work on real Google Cloud resources. Completing the skill badges in each lab allows participants to be rewarded and a chance to win Google Cloud goodies.
- The document outlines a 30 day Google Cloud program for Google Developer Student Clubs (GDSCs) to help students gain hands-on experience with Google Cloud technologies.
- The program includes two tracks - Cloud Engineering and Data Science & Machine Learning - consisting of skills badges that can be earned by completing Qwiklabs assessments.
- Students who complete one track will receive rewards and a certificate of appreciation, while those completing both tracks will receive additional rewards. The goal is to help students prove they have in-demand cloud skills and gain real-world experience with Google Cloud.
The program will introduce you to Computing, Application Development, Big Data & Machine Learning using Google Cloud's training platform called Qwiklabs where you will learn each of these topic using self-paced labs that provides you temporary credentials to Google Cloud, so you can learn the cloud using the real thing – no simulations.
The document outlines a 30 Days of Google Cloud program that aims to prepare students for cloud careers. It discusses two tracks - Cloud Engineering and Data Science & Machine Learning. Students can get hands-on training using Qwiklabs and earn skill badges. Upon completing all challenges, they will receive a certificate from Google along with other rewards and prizes. The timeline shows the program kicking off on September 26th with student enrollment until September 31st and track completions deadline on November 5th.
This document outlines the 30 Days of Google Cloud program which includes two tracks - Cloud Engineering and Data Science & Machine Learning. It details the contents and tasks for each track over 30 days to help students gain hands-on experience with Google Cloud skills. Students can earn Google Cloud skill badges by completing labs and assessments, and will receive a certificate of appreciation from Google upon completion. The document provides information on how to get help during the program and encourages students to share their achievements on social media.
Cloud Kickstart 1.0, an electrifying event designed to ignite your journey into the dynamic world of Google Cloud. Hosted by GDSC NIST, this experience will be a stepping stone towards transforming your career and perspective.
30 Days of Google Cloud program will provide you an opportunity to kickstart your career in cloud and get hands-on practice on Google Cloud - the tool that powers apps like Google Search, Gmail, and YouTube. Along the way, you will learn & practice concepts like computing, application development, big data & machine learning using cloud.
The 30 Days of Google Cloud program provides participants the opportunity to kickstart their career in cloud computing through hands-on practice on the Google Cloud Platform via Qwiklabs. The month-long program in September and October 2021 consists of two tracks - Cloud Engineering and Data Science & Machine Learning - made up of self-paced labs that provide temporary credentials to work on real Google Cloud resources. Completing the skill badges in each lab allows participants to be rewarded and a chance to win Google Cloud goodies.
- The document outlines a 30 day Google Cloud program for Google Developer Student Clubs (GDSCs) to help students gain hands-on experience with Google Cloud technologies.
- The program includes two tracks - Cloud Engineering and Data Science & Machine Learning - consisting of skills badges that can be earned by completing Qwiklabs assessments.
- Students who complete one track will receive rewards and a certificate of appreciation, while those completing both tracks will receive additional rewards. The goal is to help students prove they have in-demand cloud skills and gain real-world experience with Google Cloud.
The program will introduce you to Computing, Application Development, Big Data & Machine Learning using Google Cloud's training platform called Qwiklabs where you will learn each of these topic using self-paced labs that provides you temporary credentials to Google Cloud, so you can learn the cloud using the real thing – no simulations.
The document outlines a 30 Days of Google Cloud program that aims to prepare students for cloud careers. It discusses two tracks - Cloud Engineering and Data Science & Machine Learning. Students can get hands-on training using Qwiklabs and earn skill badges. Upon completing all challenges, they will receive a certificate from Google along with other rewards and prizes. The timeline shows the program kicking off on September 26th with student enrollment until September 31st and track completions deadline on November 5th.
This document outlines the 30 Days of Google Cloud program which includes two tracks - Cloud Engineering and Data Science & Machine Learning. It details the contents and tasks for each track over 30 days to help students gain hands-on experience with Google Cloud skills. Students can earn Google Cloud skill badges by completing labs and assessments, and will receive a certificate of appreciation from Google upon completion. The document provides information on how to get help during the program and encourages students to share their achievements on social media.
This document provides information about an information session being held by the Google Developer Student Club (GDSC) at G Narayanamma Institute of Technology and Science on September 3rd. The session will explain how students can get involved with GDSC to learn various technologies, participate in contests and hackathons, build networks, and interact with industry experts. Students will also learn about the different teams within GDSC focused on areas like AI/ML, web development, social media, and outreach. The event will conclude with an introduction to each team and their leaders.
The document outlines a 30-day Google Cloud program for GDSC India campuses with two tracks: Cloud Engineering and Data Science & Machine Learning. Students can earn skill badges, hands-on experience using Qwiklabs, and a certificate of appreciation from Google. Upon registering, students will receive Qwiklabs credits and support. Rewards are offered for completing one or both tracks after enrollment.
This document summarizes a session on Google's 30 Days of Google Cloud program. The session agenda includes an introduction to the program and Qwiklabs platform, a demo of a lab, and a Q&A. There are two tracks in the program - Cloud Engineering which covers deploying infrastructure and applications, and Data Science & Machine Learning which covers data and ML topics. Completing labs can earn digital skill badges and credits for the Qwiklabs platform. Students who complete one track will receive rewards, and those who complete both tracks will receive additional rewards.
Cloud computing allows data and services to be accessed from the internet rather than a local server or personal device. Google Cloud Study Jam is a program that teaches participants about Google Cloud Platform through expert instruction, hands-on projects, and certifications to enhance skills and resumes. Interested individuals must register on a first-come, first-served basis by creating a new Google Cloud account after September 22nd to take part in the cloud computing training.
This document outlines a 30-day Google Cloud training program for GDSC SKCT Campus students. It includes two tracks - Cloud Engineering and Data Science & Machine Learning. Students can complete one or both tracks to earn Google Cloud skill badges and rewards. The program runs from September 27th to October 27th, with weekly modules. Students must complete all modules and a final assessment lab by October 27th to be eligible for rewards, which will be shipped by November 27th. Support is available at dscsupport@qwiklabs.com.
Introduction to of 30 Days of Google CloudPushkar Patel
The document outlines an agenda and overview for a training session on Google Cloud and the 30 Days of Google Cloud program. It includes:
- An introduction to what cloud computing is and the different service models.
- An overview of the 30 Days of Google Cloud program which aims to provide university students hands-on cloud skills training and certification through two tracks - Cloud Engineering and Data Science & Machine Learning.
- Details of the two tracks, their contents and skill badges participants can earn upon completion of labs and assessments.
- An explanation of the facilitator's role in getting trained first before training peers, driving program completions, and the milestones and prizes they could achieve.
The document provides an agenda and overview for a Google Cloud Study Jams 101 session hosted by GDSC IIT Goa Chapter. The session will include an introduction to Google Cloud Study Jams, navigating the Google Cloud Console, the Google Cloud Skills Boost platform, participant rewards and skill badges, and accessing the learning pathways. There are two learning tracks - Google Cloud Computing Foundations and Generative AI Arcade Game. Students can earn skill badges by completing hands-on labs and assessments, and will receive rewards from Google for completing tracks. Daily reports will track participant progress and engagement.
The document summarizes information about Google Developer Student Clubs at PGDAV College. It discusses that the club helps students develop both technical and non-technical skills and bridges theory and practice. It provides details about past events hosted by the club including study jams, coding culture programs, and hackathons. It outlines the club's goals to learn new technologies, receive guidance and earn badges/certificates. Finally, it introduces the club's leadership team and how students can receive updates through the community page or by scanning a QR code.
The document summarizes information about Google Developer Student Clubs at PGDAV College. It discusses that the club helps students develop both technical and non-technical skills and bridges theory and practice. It provides details on past events hosted by the club including study jams, coding culture programs, and hackathons. It outlines the club's goals to learn new technologies, receive guidance and earn badges/certificates. Finally, it introduces the club's leadership team and how students can receive updates through the community page or by scanning a QR code.
This document provides information about the Google Developer Student Club (GDSC) at Gautam Buddha University. It introduces the GDSC, its core team, and upcoming events. The GDSC aims to help students grow their skills in peer-to-peer learning and build solutions for local businesses. Members get access to Google technologies and training, and can network with Google employees, students, and professionals. The GDSC-GBU was established in 2022 and has over 700 members and hosted over 20 workshops. Upcoming events for the year are also outlined.
This document outlines a Google Cloud Study Jam campaign hosted by the GDSC chapter at Dewan VS Institute of Engineering and Technology. The campaign provides hands-on experience with Google Cloud and access to the Qwiklabs platform. It involves a series of trainer sessions, enrolling participants via unique access codes, tracking daily progress reports, and completing the GenAI Arcade Game and Google Cloud Computing Foundations courses by October 13th. Participants who complete the campaign will receive a certificate of completion.
This document outlines a 30-day Google Cloud training program for students. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track involves 6 hands-on labs that teach skills like creating virtual machines, using Cloud Shell and gcloud, and deploying to Kubernetes. Students who complete tracks will earn participation certificates and prizes. Progress will be tracked via Qwiklabs completions and skill badge achievements.
This document provides information about a 30 Days of Google Cloud program being run by GDSC and RobSoc at Miranda House, University of Delhi. The summary includes:
- The program aims to help participants unlock benefits and gain hands-on experience in Google Cloud over 30 days by completing skill badges and tracks in cloud engineering and data science/machine learning.
- Participants can choose to complete one track for rewards, or both tracks for additional rewards, including a certificate of appreciation from Google and goodies.
- The program will provide training to help participants earn skill badges by completing hands-on labs and assessments to demonstrate their cloud skills.
GDSC IIITM - Orientation + Intro to 30 days of Google CloudManishKumar871050
GDSC IIITM conducted its 'Orientation Session + Intro to 30 Days of Google Cloud' where attendees were given a more detailed insight into what GDSC is and about the upcoming program '30 Days of Google Cloud'.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
The document provides information about an orientation for the Google Developer Student Club (GDSC) at Dr. B. C. Roy Engineering College Durgapur. It introduces the guest speaker Anubhav Singh and the GDSC leads Abhishek Dasgupta. Some key benefits of joining GDSCs are mentioned, such as access to Google resources, workshops, resume building and networking. An upcoming Cloud Study Jams event is also announced.
Hello cloud enthusiasts!!
Did you know that the global cloud market is expected to grow USD 545.8 bilion by the end of 2022 to 1,240 billion by 2027?
And well,we know Google Cloud is revolutionizing the way cloud computing works , across more than 20+ countries .
Keeping this in mind GDSC-ACEM brings the most awaited campaign The Google Cloud Career Practitioner .
The document provides information about an online training session on Google Cloud. It includes an agenda for the session that covers introductions, an overview of cloud computing, different compute offerings on Google Cloud Platform, and a weekly task and Q&A session. Additional details are provided on career preparation resources and certification tracks for cloud engineering and data science/machine learning. The training schedule outlines four weekly sessions that will cover various Google Cloud topics.
GDSC BVCOENM - Google Cloud Study Jam October 2021 | Day 1 + Day 2GDSCBVCOENM
The document provides an agenda and overview for a Google Cloud Study Jam event over two days. Day 1 will cover introductions, quizzes on cloud knowledge, an overview of Google Cloud Platform basics and services, and a demonstration. Day 2 will recap Day 1 content and include more advanced GCP topics, storage basics, and another demonstration. The goal is to help participants learn about cloud careers and Google Cloud.
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
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
This document provides information about an information session being held by the Google Developer Student Club (GDSC) at G Narayanamma Institute of Technology and Science on September 3rd. The session will explain how students can get involved with GDSC to learn various technologies, participate in contests and hackathons, build networks, and interact with industry experts. Students will also learn about the different teams within GDSC focused on areas like AI/ML, web development, social media, and outreach. The event will conclude with an introduction to each team and their leaders.
The document outlines a 30-day Google Cloud program for GDSC India campuses with two tracks: Cloud Engineering and Data Science & Machine Learning. Students can earn skill badges, hands-on experience using Qwiklabs, and a certificate of appreciation from Google. Upon registering, students will receive Qwiklabs credits and support. Rewards are offered for completing one or both tracks after enrollment.
This document summarizes a session on Google's 30 Days of Google Cloud program. The session agenda includes an introduction to the program and Qwiklabs platform, a demo of a lab, and a Q&A. There are two tracks in the program - Cloud Engineering which covers deploying infrastructure and applications, and Data Science & Machine Learning which covers data and ML topics. Completing labs can earn digital skill badges and credits for the Qwiklabs platform. Students who complete one track will receive rewards, and those who complete both tracks will receive additional rewards.
Cloud computing allows data and services to be accessed from the internet rather than a local server or personal device. Google Cloud Study Jam is a program that teaches participants about Google Cloud Platform through expert instruction, hands-on projects, and certifications to enhance skills and resumes. Interested individuals must register on a first-come, first-served basis by creating a new Google Cloud account after September 22nd to take part in the cloud computing training.
This document outlines a 30-day Google Cloud training program for GDSC SKCT Campus students. It includes two tracks - Cloud Engineering and Data Science & Machine Learning. Students can complete one or both tracks to earn Google Cloud skill badges and rewards. The program runs from September 27th to October 27th, with weekly modules. Students must complete all modules and a final assessment lab by October 27th to be eligible for rewards, which will be shipped by November 27th. Support is available at dscsupport@qwiklabs.com.
Introduction to of 30 Days of Google CloudPushkar Patel
The document outlines an agenda and overview for a training session on Google Cloud and the 30 Days of Google Cloud program. It includes:
- An introduction to what cloud computing is and the different service models.
- An overview of the 30 Days of Google Cloud program which aims to provide university students hands-on cloud skills training and certification through two tracks - Cloud Engineering and Data Science & Machine Learning.
- Details of the two tracks, their contents and skill badges participants can earn upon completion of labs and assessments.
- An explanation of the facilitator's role in getting trained first before training peers, driving program completions, and the milestones and prizes they could achieve.
The document provides an agenda and overview for a Google Cloud Study Jams 101 session hosted by GDSC IIT Goa Chapter. The session will include an introduction to Google Cloud Study Jams, navigating the Google Cloud Console, the Google Cloud Skills Boost platform, participant rewards and skill badges, and accessing the learning pathways. There are two learning tracks - Google Cloud Computing Foundations and Generative AI Arcade Game. Students can earn skill badges by completing hands-on labs and assessments, and will receive rewards from Google for completing tracks. Daily reports will track participant progress and engagement.
The document summarizes information about Google Developer Student Clubs at PGDAV College. It discusses that the club helps students develop both technical and non-technical skills and bridges theory and practice. It provides details about past events hosted by the club including study jams, coding culture programs, and hackathons. It outlines the club's goals to learn new technologies, receive guidance and earn badges/certificates. Finally, it introduces the club's leadership team and how students can receive updates through the community page or by scanning a QR code.
The document summarizes information about Google Developer Student Clubs at PGDAV College. It discusses that the club helps students develop both technical and non-technical skills and bridges theory and practice. It provides details on past events hosted by the club including study jams, coding culture programs, and hackathons. It outlines the club's goals to learn new technologies, receive guidance and earn badges/certificates. Finally, it introduces the club's leadership team and how students can receive updates through the community page or by scanning a QR code.
This document provides information about the Google Developer Student Club (GDSC) at Gautam Buddha University. It introduces the GDSC, its core team, and upcoming events. The GDSC aims to help students grow their skills in peer-to-peer learning and build solutions for local businesses. Members get access to Google technologies and training, and can network with Google employees, students, and professionals. The GDSC-GBU was established in 2022 and has over 700 members and hosted over 20 workshops. Upcoming events for the year are also outlined.
This document outlines a Google Cloud Study Jam campaign hosted by the GDSC chapter at Dewan VS Institute of Engineering and Technology. The campaign provides hands-on experience with Google Cloud and access to the Qwiklabs platform. It involves a series of trainer sessions, enrolling participants via unique access codes, tracking daily progress reports, and completing the GenAI Arcade Game and Google Cloud Computing Foundations courses by October 13th. Participants who complete the campaign will receive a certificate of completion.
This document outlines a 30-day Google Cloud training program for students. It includes two tracks: Cloud Engineering and Data Science & Machine Learning. The Cloud Engineering track involves 6 hands-on labs that teach skills like creating virtual machines, using Cloud Shell and gcloud, and deploying to Kubernetes. Students who complete tracks will earn participation certificates and prizes. Progress will be tracked via Qwiklabs completions and skill badge achievements.
This document provides information about a 30 Days of Google Cloud program being run by GDSC and RobSoc at Miranda House, University of Delhi. The summary includes:
- The program aims to help participants unlock benefits and gain hands-on experience in Google Cloud over 30 days by completing skill badges and tracks in cloud engineering and data science/machine learning.
- Participants can choose to complete one track for rewards, or both tracks for additional rewards, including a certificate of appreciation from Google and goodies.
- The program will provide training to help participants earn skill badges by completing hands-on labs and assessments to demonstrate their cloud skills.
GDSC IIITM - Orientation + Intro to 30 days of Google CloudManishKumar871050
GDSC IIITM conducted its 'Orientation Session + Intro to 30 Days of Google Cloud' where attendees were given a more detailed insight into what GDSC is and about the upcoming program '30 Days of Google Cloud'.
Here's an intro to the 30 Days of Google Cloud program to kickstart your career in the cloud as well as earn exciting prizes & digital badges. To start with, your facilitator, Mohini Gupta, will be taking you on board this journey, explaining you these :
1.) Introduction to the program
2.) About GCP Crash Course
3.) A Tour of Qwiklabs and the Google Cloud Platform Lab
4.) Hands-on lab experience
The document provides information about an orientation for the Google Developer Student Club (GDSC) at Dr. B. C. Roy Engineering College Durgapur. It introduces the guest speaker Anubhav Singh and the GDSC leads Abhishek Dasgupta. Some key benefits of joining GDSCs are mentioned, such as access to Google resources, workshops, resume building and networking. An upcoming Cloud Study Jams event is also announced.
Hello cloud enthusiasts!!
Did you know that the global cloud market is expected to grow USD 545.8 bilion by the end of 2022 to 1,240 billion by 2027?
And well,we know Google Cloud is revolutionizing the way cloud computing works , across more than 20+ countries .
Keeping this in mind GDSC-ACEM brings the most awaited campaign The Google Cloud Career Practitioner .
The document provides information about an online training session on Google Cloud. It includes an agenda for the session that covers introductions, an overview of cloud computing, different compute offerings on Google Cloud Platform, and a weekly task and Q&A session. Additional details are provided on career preparation resources and certification tracks for cloud engineering and data science/machine learning. The training schedule outlines four weekly sessions that will cover various Google Cloud topics.
GDSC BVCOENM - Google Cloud Study Jam October 2021 | Day 1 + Day 2GDSCBVCOENM
The document provides an agenda and overview for a Google Cloud Study Jam event over two days. Day 1 will cover introductions, quizzes on cloud knowledge, an overview of Google Cloud Platform basics and services, and a demonstration. Day 2 will recap Day 1 content and include more advanced GCP topics, storage basics, and another demonstration. The goal is to help participants learn about cloud careers and Google Cloud.
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
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
“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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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