The document discusses the history of weather instruments from ancient times to modern developments. Early cultures attempted to predict weather through observation alone. The advent of instruments began in the Renaissance, with pioneers like Galileo experimenting. Over centuries, basic instruments were invented - the anemometer for wind in 1450, hygrometers for humidity around 1450, thermometers in the 1500s and barometers in the 1600s. Refinements continued, such as Fahrenheit's mercury thermometer in 1714. In the 20th century, technologies like weather balloons and Doppler radar improved accuracy and measurement speed.
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.
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/
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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.
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.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
1. The History of Meteorology The word 'meteorology' was coined from a research book called 'Meteorologica' which was written by Aristotle, a Greek scientist and philosopher. This early work described the science of earth like its geology, elements, hydrology, seas, wind and weather. In the modern term, the term meteorology explains a complete science. It is for understanding the dynamics of atmosphere and forecasting weather phenomena like hurricanes and thunderstorms. Weather forecasting was practiced since the beginning of time with more or less accuracy. Historical records show several examples of weather predicting methods based on observing surrounding elements.
2. There are also other methods which have been evolved. Meteorology is a lot related with cycles and their analysis which was what Fernando II de Medici wanted to prove. He carried out a very determined program in 1654 for recording weather patterns in different European cities with a view to compile data and make their analysis. Other breakthroughs were followed in the 18th century and science was taken to a new level. A modern mercury based thermometer was invented by Gabriel Fahrenheit. Theories about hydrodynamics were devised by Daniel Bernoulli and those theories had helped greatly in understanding the atmospheric changes. When the theory of thermodynamics and atmospheric pressures were adapted, no real changes were important for understanding meteorology. In recent times, focus has been given on meteorological tools for its improvement and attaining better accuracy results. A tremendous boost was given to meteorology because of the technology in two ways. The first is the ability to communicate results and analysis with timing, it was made possible due to the invention of telegraph. The second is the ability of probing skies with using balloons, satellites and radars.
3. Meteorology is the scientific study of the atmosphere that focuses on weather processeinterdisciplinary s and short term forecasting (in contrast with climatology). Studies in the field stretch back millennia, though significant progress in meteorology did not occur until the eighteenth century. The nineteenth century saw breakthroughs occur after observing networks developed across several countries. Breakthroughs in weather forecasting were achieved in the latter half of the twentieth century, after the development of the computer. Meteorological phenomena are observable weather events which illuminate and are explained by the science of meteorology. Those events are bound by the variables that exist in Earth's atmosphere: They are temperature, air pressure, water vapor, and the gradients and interactions of each variable, and how they change in time. The majority of Earth's observed weather is located in the troposphere. Different spatial scales are studied to determine how systems on local, region, and global levels impact weather and climatology. Meteorology, climatology, atmospheric physics, and atmospheric chemistry are sub-disciplines of the atmospheric sciences. Meteorology and hydrology compose the interdisciplinary field of hydrometeorology. Interactions between Earth's atmosphere and the oceans are part of coupled ocean-atmosphere studies. Meteorology has application in many diverse fields such as the military, energy production, transport, agriculture and construction.
6. Weather instruments, have a long, rich history that may be charted against the growth of science itself. The advent of weather instruments was a time when inventors could be experts in many scientific fields Galileo, for example, helped lay down the framework for modern astronomy but also found the time to experiment with thermometers. Starting with a mere idea, the design of these specialized instruments graduated to robust theory, experimental application and progressive refinement over time.
7. For most of human history, weather predictions had to be made using pure observation. Babylonians attempted to predict short-term weather changes based on the appearance of clouds and optical halos, and Aristotle wrote a philosophical treatise called "Meteorologica" that included detailed theories on the formation of rain, clouds, lightning and many other weather-related phenomena. It was not until the Renaissance that weather instruments were finally invented through the gains of technological advancements and the formulation of accurate theories about the weather. In the 20th century, more refined technology like weather balloons and Doppler instruments helped to make weather measurement quicker and more accurate.
8. Anemometers Anemometers, which measure wind speed, were first described by Leon Battista Alberti in 1450, but the most familiar kind, the cup anemometer, was invented in 1846 by Dr. John Thomas Romney Robinson. The design was refined up until the 20th century: In the 1960s and 1970s, anemometers that used lasers or sonar to measure wind speed were developed.
9. Measuring the Weather In the early days of the Weather Bureau numerous clever mechanical devices were invented to measure and record any and every meteorological (weather) parameter conceivable: ombroscope or rainfall recorder, mechanical anemometer or wind speed indicator, remote readout wind vane, pole star recorder. Anemometer Wind velocity or speed is measured by a cup anemometer, an instrument with three or four small hollow metal hemispheres set so that they catch the wind and revolve about a vertical rod. An electrical device records the revolutions of the cups and calculates the wind velocity. The word anemometer comes from the Greek word for wind, "anemos."
10. Hygrometers One of the first known designs of the hygrometer was written down in approximately 1450 AD by Nicholas of Cues, who desribed how to measure the humidity of air. An early hygrometer was built by Leonardo da Vinci and later in 1663 by Robert Hooke, using a piece of hair that contracted or expanded depending on the degree of humidity present. Inventions in 1783 by Horace-Bénédict de Saussure (who used human hair) and in 1820 (when J. F. Daniell used ether in glass tubes) refined the hygrometer.
11. Thermometers Thermometers were progressively developed over time by inventors such as Cornelius Drebbel, Robert Fludd, Santorio Santorio and, most notably, Galileo Galilei, who in 1592 invented a thermoscope that reacted to changes in temperatures. In 1612, Santorio put a scale on the thermometer so that it began to resemble its more modern permutations, but it wasn't until 1714 that Daniel Gabriel Fahrenheit replaced the alcohol in thermometers with mercury and developed a more accurate measurement, later to be followed by Anders Celsius and Sir William Thomson (who invented the Kelvin scale) with their own measurements of temperature. Barometers Evangelista Torricelli is credited with inventing the barometer in 1643 to measure air pressure, but both Giovanni Battista Baliani in 1630 and René Descartes in 1631 had postulated a version of the barometer even earlier than that. GasperoBerti, who had heard from Galileo about the design written down by Baliani, attempted to experiment with water in a vacuum between 1639 and 1641 to explain why pumps would not draw water above a certain height. Torricelli, however, approached it from a different angle and recognized that air had weight; he also recognized that mercury in a barometer was a suitable replacement for water. Years later, Blaise Pascal and Florin Périer refined the design.
12. Barometer Barometer - Pronunciation: [b u rom´ u t u r] - a barometer is an instrument for measuring atmospheric pressure. The barometer was invented by Evangelista Torricelli in 1643. Hygrometer A hygrometer is an instrument used to measure the moisture content or the humidity of air or any gas. Rain Gauge A rain gauge measures how much rain has fallen. Thermometer Thermometers measure temperature by using materials that change in some way when they are heated or cooled. The first thermometers were called thermoscopes, and while several inventors invented a version of the thermoscope at the same time, Italian inventor Santorio Santorio was the first inventor to put a numerical scale on the instrument. In 1724, Gabriel Fahrenheit invented the first mercury thermometer.