SETI Institute’s Post

🚀 Dive into the future of computing with the latest #FuturetechPodcast episode with Jon Irwin and myself from TorontoStarts ! Learn how classical computers are outpacing quantum ones in speed and accuracy. Don't miss the breakthrough insights! https://lnkd.in/gHehqcmS #QuantumVsClassical #TechNews #tech #podcast

In Math Mutation podcast 288, "One Stone To Rule Them All", we discuss this year's unexpected discovery of a single tile that can cover the plane aperiodically. Come listen & comment at mathmutation.com ! #math #Mathematics

🎙️ Exciting News! 🎙️ I'm thrilled to launch a podcast, "The Mathematics and Computing Rabbit Hole: Translating Real-World Challenges into Bits and Atoms." This AI-assisted podcast, created with Google's NotebookLM, aims to demystify technology and make complex concepts accessible in layman's terms. Why listen? 1) Be Inspired by AI: Experience your first AI-generated podcast and see what's possible with today's technology. 2) Get your head around complex topics in an easy going way: Dive into intriguing subjects like mathematics and computing, and understand their real-world applications. Join me as I navigate these fields, sharing my journey to simplify and apply complex ideas to real-world challenges. Whether you're a tech leader or a curious learner, this podcast offers insights into tech assisted modern problem-solving. Your Feedback Matters: Do you like it? Is it worth a second episode? Share your thoughts and suggest topics you'd like to explore next! #Podcast #AI #Mathematics #Computing #Innovation #Learning

Innovation and entrepreneurship at an early age, learn more about what drives EdgeCortix's Founder and CEO Sakyasingha Dasgupta, PhD in this EE Times | Electronic Engineering Times interview with Nitin Dahad.

The most interesting thing in tech: Why do we dream? The Nobel Prize winner Geoffrey Hinton, who built machines modeled on the human brain, recently told me about a few theories. One of them—maybe my favorite—is that the brain is trying to forget things. It's essentially running the process of memory backwards so that we'll release unwanted information and incorrect associations. We discussed that and much more in a new podcast I'm hosting.

A year and a half ago, I created a small bot for my Physics research. It was a RAG (Retrieval-Augmented Generation) implementation that only used #LLaMaIndex and #Streamlit to extract information from my and my colleagues' papers. I was happy because Quantum Physics can be a pretty lonely journey, and sometimes it's really hard to find someone to discuss your new findings or your struggles with a new blocker. Fast forward to today, Google #NotebookLM not only allows you to interact with your data and ask questions, but you can also create a podcast out of it – yes, a PODCAST. Just feed it your data, and you get a real conversation in a couple of minutes. The only flaw I've noticed – the 'sixth finger,' so to speak – is that it spells out the file names along with their extensions. For example, 'Time Crystals dot pdf says that…' But I'm pretty sure Google will fix this in no time. https://lnkd.in/dkU68Pkf

Hello Connections!!!!!! I got an certificate attending the masterclass about Machine Learning Key takeaways: 1️⃣ Patent & Trademark: Understanding the industrial significance. 2️⃣ Research Application: Bridging academia with industry. 3️⃣ Academic-Industrial Research Flowchart: Navigating the path to innovation. 4️⃣ Becoming a Researcher: Insights into the journey. 5️⃣ Self-Belief: Crucial for success in the field. #nxtwave #ccbp #podcast

I have a podcast now! Welcome to #Xecast episode 1. This is a total experiment and I'm going to try to do episodes every other week to avoid over-committing (I travel a lot for work). Eventually I'd love to have guests on to talk about what they love, but for now I'm aggressively de-scoping and making it as minimal as possible. Let me know what you think in the comments below! Show Notes: * This is the first episode of Xecast, an experimental podcast by Xe Iaso. * Xe talks about their background in tech, starting with early exposure to computers and programming. * They discuss their love for tinkering and finding creative, sometimes "cursed," solutions to problems. * The conversation dives into their fictional series, #Techaro, and the rules Xe created to make it universally relatable. * Xe reveals their desire to write a book and create short films based on the #Techaro universe. * The episode touches on Xe's fascination with AI and its potential for social commentary. * Xe encourages listeners to watch The Twilight Zone and Black Mirror for their thought-provoking social commentary. Key Takeaways: * Embracing the Cursed: Xe's passion for technology lies in its potential for unconventional and even "cursed" solutions. This approach has fueled their career and creative pursuits. * Relatability in Fiction: Xe's #Techaro series thrives on its generic, relatable depiction of the tech industry. By avoiding specific details, readers can easily draw parallels to real-world companies and experiences. * Technology as a Mirror: Xe believes technology amplifies existing human flaws and societal issues. They use their writing to explore this concept, drawing inspiration from shows like "The Twilight Zone" and "Black Mirror." * AI as a Narrative Tool: Xe sees AI as a powerful tool for social commentary, particularly regarding labor exploitation. They plan to explore this theme in future #Techaro stories.

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗣𝗹𝗮𝗻𝘁 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀. Walker Reynolds explains how ML goes beyond basic data analysis. It's about identifying patterns in vast datasets to predict future outcomes. Imagine using vibration data to forecast bearing failure with incredible accuracy! Intrigued? Watch the full episode to learn more about how ML is shaping the future of manufacturing 👉 https://lnkd.in/dD55QdBA #machinelearning #manufacturing #predictivemaintenance #podcast #industry4.0 #walkerreynolds P.S. What are your thoughts on the potential of machine learning in your industry? Share in the comments!

The Great North American Eclipse will take place this Monday, April 8th, and many schools have their (veiled) eyes on it as a learning opportunity. But why is a solar eclipse so rare, and what does it all mean? If families need help explaining it, let our favorite Science Communicators lead the way! Read here or the link in bio: https://lnkd.in/eeyJH3jQ Topics Include: Solar Eclipse 101 Why Can't We Look at the Sun with Astro Alexandra Getting Ready for the Eclipse with SciShow Kids How Ancient Babylonians Predicted Eclipses 2 Podcasts for Learning in the Car