Living together in a group is a strategy many animals use to survive and thrive. And a big part of what makes that living situation successful is listening. In this episode, we explore the collaborative world of the naked mole-rat. Threshold is nonprofit, listener-supported, and independently produced. You can support Threshold by donating today . To stay connected, sign up for our newsletter . Operation frog sound! Send us your frog sounds for an upcoming episode. We want you to go out, listen for frogs and toads, and record them. Just find someone croaking, and hit record on your phone. It doesn’t matter if there’s background noise. It doesn’t even matter if you’re not sure whether or not you’re hearing an amphibian—if you think you are, we would love to get a recording from you. Please also say your name and where you are in the world, and then email the recording to us at outreach@thresholdpodcast.org…
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#007 Mobile Testing
Manage episode 447346622 series 3609053
Contenuto fornito da Voxstar - Gene Da Rocha. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Voxstar - Gene Da Rocha o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Mobile testing tools should enable you to identify objects by native properties. In TestComplete, you have complete access to mobile device sensor data such as GPS, accelerometers, and gyroscopes. Expand coverage by simulating GPS coordinates, Wifi, or switching application languages
26 episodi
CondividiManage episode 447346622 series 3609053
Contenuto fornito da Voxstar - Gene Da Rocha. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Voxstar - Gene Da Rocha o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Mobile testing tools should enable you to identify objects by native properties. In TestComplete, you have complete access to mobile device sensor data such as GPS, accelerometers, and gyroscopes. Expand coverage by simulating GPS coordinates, Wifi, or switching application languages
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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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Voxstar AI Automation
Machine learning is a powerful tool for data analysis, allowing us to identify patterns, make predictions, and automate decision-making. The key to success in machine learning is having a structured approach to analyzing a data set. Here is a step-by-step approach to studying any input data set with machine learning.…
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