Jay is more than just the host of All About Change podcast. He is a lawyer and international activist, who has focused his life’s work on seeking social justice by advocating for the rights of people with disabilities worldwide. On the special episode of All About Change, Mijon Zulu, the managing producer of the "All About Change" podcast, is taking over hosting duties to interview Jay Ruderman about his new book, his activist journey, and why activism is even more important today. Episode Chapters (0:00) intro (02:38) How does one choose a cause to go after? (03:33) Jay’s path to activism (07:50) Practical steps a new activist can take (09:24) Confrontation vs trolling (17:36) Learning from activists operating in different sectors (19:20) Resilience in activism (22:24) Reflections on Find Your Fight and goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/ Looking for more insights into the world of activism? Be sure to check out Jay’s brand new book, Find Your Fight , in which Jay teaches the next generation of activists and advocates how to step up and bring about lasting change. You can find Find Your Fight wherever you buy your books, and you can learn more about it at www.jayruderman.com .…
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#002 Automation Test Strategy
Manage episode 445737757 series 3609053
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At the organisational level, code or script and even the framework should be reusable within cross-functional teams. Your test automation strategy should include the reusability of test scripts if you are using scripts for test automation. This will help to reduce scripting development efforts.
In the event that testing does start to lag a sprint behind the development, automated testing can help QA catch up. This is when an external solution can come to the rescue. Having off-site QA engineers develop scripts for past sprints can bring in-house teams together. The importance of that can’t be overstated. When teams are working on the same sprint, they can speak the same language and help improve the testability of the product as it is being built.
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Contenido proporcionado por Voxstar - Gene Da Rocha. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Voxstar - Gene Da Rocha o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
At the organisational level, code or script and even the framework should be reusable within cross-functional teams. Your test automation strategy should include the reusability of test scripts if you are using scripts for test automation. This will help to reduce scripting development efforts.
In the event that testing does start to lag a sprint behind the development, automated testing can help QA catch up. This is when an external solution can come to the rescue. Having off-site QA engineers develop scripts for past sprints can bring in-house teams together. The importance of that can’t be overstated. When teams are working on the same sprint, they can speak the same language and help improve the testability of the product as it is being built.
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Artificial Intelligence (AI) has been advancing rapidly in recent years, and one of the most intriguing topics in the field is Artificial General Intelligence (AGI). AGI is the hypothetical intelligence of a machine that can understand or learn any intellectual task that a human can. In simpler terms, AGI refers to a machine that has the cognitive abilities of a human being. #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ComputerVision #AI #DataScience #NaturalLanguageProcessing #BigData #Robotics #Automation #IntelligentSystems #CognitiveComputing #SmartTechnology #Analytics #Innovation #Industry40 #FutureTech #QuantumComputing #Iot #blog #Blog #Writing #ContentMarketing #Tech #Technology #Science #Innovation #Entrepreneurship #Startup #Business #Marketing #Education #SelfImprovement #Productivity #Leadership #Creativity #Inspiration #Motivation #LifeLessons #PersonalDevelopment #voxstar1 #genedarocha…
Another key difference between the two models is the type of tasks they were trained to perform. While ChatGPT was trained primarily to generate natural language responses to a given prompt, Gemini was trained to perform a broader range of tasks, including summarization, translation, and even image captioning. This means that Gemini is more versatile than ChatGPT and can be used for a wider range of applications. The race is very close.…
The regulation of AI systems is becoming increasingly important, as more businesses and organizations adopt AI technologies to automate processes, improve decision-making, and enhance customer experiences. Governments, including the USA and UK, have a crucial role to play in ensuring that these technologies are developed and deployed safely and responsibly. In this response, I will outline some of the key considerations for governments when regulating AI systems.…
Delysium is a blockchain-based gaming platform that aims to revolutionize the gaming industry. The company was founded in 2017 by a team of gaming and blockchain experts who recognized the potential for blockchain technology to transform the way games are designed, created, and played.
“RootNav 2.0: Deep Learning for Automatic Navigation of Complex Plant Root Architectures” is a research paper authored by Mike Pound, Andrew French, and others, which was published in the journal “Plant Physiology” in 2016. The paper presents a novel approach to automatically navigating complex plant root architectures using deep learning.…
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Voxstar AI Automation
1 #22 Quick Analysis on AI Report on ImageNet Classification with Deep Convolutional Neural Networks 14:23
This is a research paper titled “ImageNet Classification with Deep Convolutional Neural Networks” authored by Geoffrey Hinton, Alex Krizhevsky, and Ilya Sutskever. This paper is a seminal work in the field of artificial intelligence and deep learning and was published in 2012.
The new demo from Microsoft, Bing looks ace with the New Bing Search, which uses a powerful more adaptive of ChatGPT, a special training model for Search, Chat, and the browser. This is the new co-pilot for Web Searches. They will be many skeptics as they should be with new tech.
Battery Technology Breakthroughs 1.Solid-State Batteries:Tesla is introducing solid-state batteries in its upcoming vehicles, such as the Tesla Model Q 2025. These batteries replace liquid electrolytes with solid ones, offering several advantages: •Faster charging times (10–15 minutes). •Enhanced safety by eliminating risks like thermal runaway. •Higher energy density, potentially increasing EV range by up to 80%.The Model Q will also leverage this technology to reduce production costs by 27%, making EVs more affordable with a starting price under $19,789.…
Preparing for the next frontier- Quantum Computing We’re on the cusp of a new frontier in technology... One that could change computing forever. It's called Quantum Computing. In short, we've been using bits to store data since the beginning of computing. But what if there was another way? What if we could use something else entirely different? That's exactly what quantum computing does! Instead of bits, it uses quantum particles to solve our problems. As you might expect, it works very differently than regular computers.…
In 2025, software development is changing fast, thanks to no-code platforms. These tools let people with little coding know-how make apps and automate tasks quickly and well. This is a big deal for those who want to create software but don't know how to code. No-code platforms are changing how we make software. They make it easy for more people to create apps. With visual tools and simple interfaces, anyone can start making apps fast, without needing to know how to code.…
Did you know ChatGPT can remember thousands of tokens? This lets it have deep and meaningful conversations. We'll explore how ChatGPT's memory works, including its architecture and functions. Key Takeaways ChatGPT keeps a memory of thousands of tokens, making conversations rich and meaningful. Its memory system has parts for processing, storing, and managing chat info. ChatGPT remembers the context, follows the flow of info, and switches between topics smoothly. Even though ChatGPT's memory is vast, it's not endless. It has limits in storing and processing tokens. Using prompts well can help make the most of ChatGPT's memory and conversation skills.…
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Voxstar AI Automation
Imagine a world where simple prompts can turn into million-dollar business ideas. Sounds like science fiction, right? In this digital age, a new trend prompt engineering is doing just that—transforming creative sparks into real wealth. Together, let's explore this innovative technique and unveil how it's capturing the essence of human creativity, leading to sudden financial success for some. Understanding Prompt Engineering Prompt engineering, at its core, involves designing specific prompts or instructions to guide advanced AI systems in generating useful outcomes. It is akin to the maestro orchestrating an AI symphony, coaxing the best performances from complex algorithms.…
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Voxstar AI Automation
In the fast-evolving world of artificial intelligence, mastering the art of prompt engineering is akin to wielding a powerful tool that can significantly enhance your AI interactions. Whether you're a data scientist, developer, or AI enthusiast, understanding how to craft effective prompts can elevate your AI applications and yield impressive results. In this article, we'll explore ten transformative hacks for prompt engineering that can transform your experience with AI models, providing you with insights and practical techniques to optimize your dialogues.…
At its core, ChatGPT uses a type of neural network called a Transformer network. This network is designed to process sequential data, such as text, and generate predictions about what should come next in the sequence. In the case of ChatGPT, the network is trained to predict the next word in a text conversation, based on the context of the words that came before it. When a user inputs text into the model, the network processes the input and generates a response that is meant to be a continuation of the conversation. This response is generated by predicting the next word in the sequence and then using that information to generate a full response. The model repeats this process for each subsequent input in the conversation until the conversation reaches a natural end. Do you need Consultancy for AI, contact Voxstar.com, do you need a coding framework to build AI Apps then use Voxstar.ai. Do you need to create content, then use writeplus.co, do you need to showcase your app, then use AIToolboard.com and if you need to concentrate and focus, meditate with music, try out WireVibeApp.com. Thanks…
There are many languages out there to learn for machine learning, like Python, Golang, Java, and JavaScript. I was trying to investigate and find out, by using the browser’s inbuilt JavaScript services. JavaScript is a popular, dynamic, and interpreted programming language that can be used to create web pages and applications. In recent years, it has become a powerful tool in the field of machine learning, as more and more libraries are being developed to make it easier for developers to use machine learning algorithms in their applications. Here is a brief overview of how to use JavaScript with machine learning, along with some of the most popular libraries and tools that you can use.…
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