The first Americans crossed into North America over a land bridge that connected Asia to Alaska around 30,000 years ago during an ice age. As the ice age ended, sea levels rose and the land bridge disappeared. These early peoples adapted to different environments across North America by developing diverse tools, clothing, shelters, and ways of life to hunt, gather, and farm local resources. While cultural practices varied regionally, Native Americans universally respected nature and only used what was necessary to survive.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
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1. America In The Beginning Who were the first Americans? This land bridge is known as Beringia. Animals like mammoths crossed the bridge or migrated to the America's. This caused ocean levels to drop and expose land. In the Bering straight a land bridge appeared connecting Asia and the Americas 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 coveredup glaciers causing water levels to risecovering up the land bridge. Some animals died off like mammoths. Living in many different parts of the Americas the Natives needed to adjust or adaptto every thing in the new surrounds that made up each of their own environments 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 nomadsfollowed the mammoths and spread out or migratedto the America's
3. 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. 2. No one can own land. 4. Only use what is needed(no waste). 5. tradewas important to most societies Living in many different parts of the Americas the Natives used the different natural resourcesin their own different environments for food, clothing, and shelter. What did they have in common?
4. 8 Cultural Regions California Great Basin Great Plains South East Plateau Eastern Woodlands South West North West Coast
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 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
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 Tools: water baskets sealed with tree sap Floating duck decoys, nets, sharp sticks, flat baskets for catching seeds Clothing: rabbit robes in winter Shelter: Nomadic temporary cone shelters of willow, brush and reeds
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 Culture: Tools: bow made of buffalo tendon, arrows, V shaped stone trap, fire, bone knives, shields, Clothing: Buffalo robes and hides Shelter: Houses called tipis
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 Long House: Sturdy, log-framed houses covered with elm bark, about 20 feet wide and over 100 feet long. Several related families live in sections of the house. Skirts, capes, and moccasins were made out of deer skins. Women ground corn with wooden sticks . Men often paddled on the rivers and streams in log and bark canoes . They trapped beavers, hunted deer, bear, caught birds, and speared fish. For farming land, men burnt small sections of trees and underbrush. Women did the hoeing and planting. They planted many different types of corn, beans and squash. Made maple syrup and wooden storage canisters.
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.