The first Americans crossed into North America from Siberia over a land bridge around 30,000 years ago during the last ice age. As the climate warmed, sea levels rose and the land bridge disappeared. These early peoples adapted to different environments across North America, developing distinct cultural regions based on available natural resources and climate. While practices varied regionally, most Native American cultures shared beliefs like animism and communal land ownership.
Dynamic Knowledge-Base Alignment for Coreference ResolutionJinho Choi
Coreference resolution systems can benefit greatly from inclusion of global context, and a number of recent approaches have demonstrated improvements when precomputing an alignment to external knowledge sources. However, since alignment itself is a challenging task and is often noisy, existing systems either align conservatively, resulting in very few links, or combine the attributes of multiple candidates, leading to a conflation of entities. Our approach instead maintains ranked lists of candidate entities that are dynamically merged and reranked during inference. Further, we incorporate a large set of surface string variations for each entity by using anchor texts from the web that link to the entity. These forms of global context enable our system to outperform a competitive baseline without a knowledge base by 1.09 B3 F1 points, and a state-of-the-art system by 0.41 points on the ACE 2004 data.
Dynamic Knowledge-Base Alignment for Coreference ResolutionJinho Choi
Coreference resolution systems can benefit greatly from inclusion of global context, and a number of recent approaches have demonstrated improvements when precomputing an alignment to external knowledge sources. However, since alignment itself is a challenging task and is often noisy, existing systems either align conservatively, resulting in very few links, or combine the attributes of multiple candidates, leading to a conflation of entities. Our approach instead maintains ranked lists of candidate entities that are dynamically merged and reranked during inference. Further, we incorporate a large set of surface string variations for each entity by using anchor texts from the web that link to the entity. These forms of global context enable our system to outperform a competitive baseline without a knowledge base by 1.09 B3 F1 points, and a state-of-the-art system by 0.41 points on the ACE 2004 data.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
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.
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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:
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. America In The Beginning Who were the first Americans? This land bridge is known as Beriniga Animals like mammoths crossed the bridge or migration to the America's. This caused ocean levels to decrease and expose land. In the Bering straight a land bridge appeared connecting Siberia (Asia) and the Americans 30,000 years ago During a period of low temperatures called an ice age The world was covered in glaciers or sheets of ice. How and why did they come here?
2. America In The Beginning What happened when they came to America? The ice age ended warming up glaciers causing water levels to rise covering up the land bridge. Some animals died off like mammoths. Living in many different parts of the Americas the Natives needed to adjust or adapt to every thing in the new surrounds that made up each of their own environment in order to survive. How did they meet their new needs? Hunter's in Asia who moved from place to place to find food or nomads followed the mammoths and spread out or migrated to the America's
3. 8 Cultural Regions California Great Basin Great Plains South East North West Coast Plateau Eastern Woodlands South West
4. How did Native Americans adjust to the new environments? America In The Beginning Different groups in different environments developed their own beliefs and ways of life or culture. Groups in the same environments adapted similar life styles, and language creating cultural region. Many Native American have these things in common. 1. Nature has a spirit &believe in many gods. 2. No one can own land. 4. Only use what is needed (no waste). 5. trade was important to most societies Living in many different parts of the Americas the Natives used the different natural resources in their own different environments for food, clothing, and shelter. What did they have in common?
7. North West Coast Weather: long cold winters cool summers heavy rainfall Natural Resources: ocean/beaches thick forests of fir, spruce, and cedar rugged mountains seafood/salmon deer, moose, bear, elk, beaver, mountain goats Used cedar canoes to hunt Fenced in salmon laying eggs used cedar to make rope, mats and baskets shell needles used wedges, sledge hammers, drills, and knifes to carve wooden masks Clothing: Cedar water proof clothing like capes with decorative shell buttons Shelter: lived near the coast Cedar Long Houses with cedar bark roofs
8. California Weather: rainy winters hot dry summers Natural Resources: ocean/coast foothills valley's deserts mountains acorns, oak trees grass, and plants redwood trees salmon/seafood/shellfish deer, rabbits, ducks, roots berries, pine nuts Large thick walled houses made of bricks of adobe(sun baked clay). Up to 4 stories and had hundreds of rooms. Clothes were made of cotton that they grew. Using plants and minerals, they dyed the fabric Lived near naturally flooded areas. Men dug irrigation ditches, and also built dams to hold summer rain. Women spend most the day grinding corn kernels into cornmeal. They used clay pots to cook stews
9. Great Basin Weather: little rain hot during the day cold at night Natural Resources: mostly dessert low areas surrounded by mountains at the edges with valleys that had seasonal lakes and streams plants that need little water like grasses, sagebrush, pinon trees, at the outer edges pine trees, and willow small animals rabbits, lizards, grasshoppers, snakes sometimes ducks , duck eggs during certain seasons seeds,berries pine nuts, roots, cattail Houses were made from strips of young trees woven into a rectangular frame, then plastered with clay. These houses had pointed roofs made of leaves. Towns included many mounds, first mounds were burial sights, but others were larger, and used as platforms for temples. It took many months, even years, to build these mounds, because they moved the dirt 1 basket full at a time. Simple clothing was made of deer skin. Jewelry made of stones, shells, feathers, pearls, bones, and clay. Women used hoes made of stone, shell or animal shoulder blades. Men hunted using small blow guns, and bows and arrows.
10. Plateau Weather: long cold winters comfortable summers Natural Resources: mountains with dense forests in areas flatter in the center with drier grass lands rivers driftwood, mud, dirt, grass and sage brush fish, antelope, deer, seeds onions, carrots, camas roots, salmon Tools: woven baskets, willow digging sticks, wooden fishing platforms, nets, and spears for salmon Clothing: antelope and deer hides leggings, dresses and skirts, woven hats, seed and shell designs Shelter: near rivers, partly under ground out of driftwood, mud, sap, and reeds
11. Great Plains Weather: cold winters hot summers Natural Resources: mountains surrounding edges treeless grasslands in the center east more water and softer soil west drier dense grass Buffalo and smaller animals Used Bows& arrows, snares, and nets, used cooking stones to heat acorn meal tools from antlers Clothing:grass/leather aprons and skirts Shelter: Cone shaped made of redwood bark, pole, and reeds woven into mats
12. South West Weather: high temperatures little rain dry/arid Natural Resources: mountains, canyons desserts, flat top mesas rivers, little water clay, brightly colored plants, cotton corn, beans, squash, peppers, rabbits Large thick walled houses made of bricks of adobe(sun baked clay). Up to 4 stories and had hundreds of rooms. Clothes were made of cotton that they grew. Using plants and minerals, they dyed the fabric Lived near naturally flooded areas. Men dug irrigation ditches, and also built dams to hold summer rain. Women spend most the day grinding corn kernels into cornmeal. They used clay pots to cook stews
13. Eastern Woodlands Weather: snowy winters , rain Natural Resources: rivers, ocean/coast lots of lakes and streams Forests, plants, maple trees, elm, deer, bears, beavers, birds, fish corn, sunflowers, tobacco, vegetables, nuts, berries Used cedar canoes to hunt Fenced in salmon laying eggs used cedar to make rope, mats and baskets shell needles used wedges, sledge hammers, drills, and knifes to carve wooden masks Clothing: Cedar water proof clothing like capes with decorative shell buttons Shelter: lived near the coast Cedar Long Houses with cedar bark roofs
14. South East Weather: long warm humid summers mild winters Natural Resources: rivers, ocean/coast Fertile coastal plains mountains, swamps Trees, clay, shells, corn, beans, squash, pumpkins, sunflowers, sweet potatoes squirrels, rabbits, turkeys, deer, alligators, turtles, wild rice, persimmons Houses were made from strips of young trees woven into a rectangular frame, then plastered with clay. These houses had pointed roofs made of leaves. Towns included many mounds, first mounds were burial sights, but others were larger, and used as platforms for temples. It took many months, even years, to build these mounds, because they moved the dirt 1 basket full at a time. Simple clothing was made of deer skin. Jewelry made of stones, shells, feathers, pearls, bones, and clay. Women used hoes made of stone, shell or animal shoulder blades. Men hunted using small blow guns, and bows and arrows.