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Science & Spirituality Podcast creators Chris and Kevin Carton dive deep into universal spiritual principles, while grounding them in modern scientific research. Coming from a relationship that has evolved over 31 years, these brothers have a uniquely fun and playful approach that is like a breath of fresh air in the personal development space. Expect to be challenged to think outside the box as you expand your consciousness by learning practical tips to apply right away! Join our subscriber ...
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Emotional Health Matters Podcast

Canadian Family Health Counselling

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Kim Sargent shares her clinical counselling knowledge and personal insights that explore all things health and wellness. We provide an advanced approach to counselling known as Neural Network Therapy® to boost mood, reduce anxiety, manage anger, break patterns of addiction, and create strong meaningful relationships.
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Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an ...
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Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular ...
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The podcast centers on the value of Emotional Intelligence, which is both a mindset and an approach to life that regards problems as situations that help you learn and grow; it is a way of being and doing in the world that enables you to develop and sustain a positive relationship with yourself and others, at home, at work, and everywhere in between. Coupled with mental fitness, emotional intelligence is an essential component of Positive Intelligence (PQ) that enables you to leverage your p ...
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Columbia University Bio Bytes

Columbia Sys Bio Initiative

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Welcome to Bio Bytes! Tune in for interviews with prominent scientists working at the intersection of Biology, Engineering, Medicine, Computer Science, and Mathematics. Check out our sister podcast "BioWorks" (https://anchor.fm/bioworks) for great discussions on life science-related business, investing, and policy. To support our podcast: https://securepay.cuit.columbia.edu/payment/pub/sponsor-sbi/https://securepay.cuit.columbia.edu/payment/pub/sponsor-sbi/ Please email sophiadeng0321@icloud ...
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If you're a curious person fed up with outrage culture and looking for thoughtful, balanced discussions, this podcast is for you. 40 minutes every few weeks. It will change your life. Outrage Overload is a show dedicated to exploring the pervasive impact of outrage in society and politics, and providing strategies to lower the temperature. In each episode we explore a different aspect of the outrage industry with leading scientists, researchers, authors, community leaders, and other experts. ...
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Are you yearning for a deeper connection to your true self? Do you crave a blend of neuroscience and spirituality that can lead to profound transformations in your life? Look no further. Nicole D'Alessandro, your dedicated host, has journeyed from a place of disconnection and self-doubt to one of profound self-awareness and transformation. Through her unique blend of neuroscience, intention setting, and a deep curiosity about human behaviour, Nicole has discovered the powerful impact of alig ...
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Welcome to "The AI Chronicles", the podcast that takes you on a journey into the fascinating world of Artificial Intelligence (AI), AGI, GPT-5, GPT-4, Deep Learning, and Machine Learning. In this era of rapid technological advancement, AI has emerged as a transformative force, revolutionizing industries and shaping the way we interact with technology. I'm your host, GPT-5, and I invite you to join me as we delve into the cutting-edge developments, breakthroughs, and ethical implications of A ...
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Center for Mind, Brain, and Culture

Emory College, Emory Center for Mind, Brain and Culture (CMBC)

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What is the nature of the human mind? The Emory Center for Mind, Brain, and Culture (CMBC) brings together scholars and researchers from diverse fields and perspectives to seek new answers to this fundamental question. Neuroscientists, cognitive psychologists, biological and cultural anthropologists, sociologists, geneticists, behavioral scientists, computer scientists, linguists, philosophers, artists, writers, and historians all pursue an understanding of the human mind, but institutional ...
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Future ADHD is a podcast hosted by Grace Koelma, Founder & Educator at futureadhd.com, and creator of the Future ADHD Planner, with 50,000+ downloads and recommended by psychologists, therapists and coaches. Future ADHD exists to serve neurodivergents who have a deep sense that — while they struggle with self regulation and executive functioning on a daily basis — they’re not flawed or disordered, but rather living in a fast-paced world that wasn’t designed for their brain. Being diagnosed w ...
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🎙️ Welcome to the Talking Papers Podcast: Where Research Meets Conversation 🌟 Are you ready to explore the fascinating world of cutting-edge research in computer vision, machine learning, artificial intelligence, graphics, and beyond? Join us on this podcast by researchers, for researchers, as we venture into the heart of groundbreaking academic papers. At Talking Papers, we've reimagined the way research is shared. In each episode, we engage in insightful discussions with the main authors o ...
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Have you ever wondered why what you focus on seems to expand in your life? We're breaking down the science behind this phenomenon, exploring how the power of your attention isn't just a mental exercise—it's a force that literally creates new neural pathways in your brain. We even touch on the mind-bending double slit experiment in quantum physics, …
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Hypothesis testing is a fundamental method in statistics used to make inferences about a population based on sample data. It provides a structured approach to evaluate whether observed data deviates significantly from what is expected under a specific hypothesis. Three commonly used hypothesis tests are the Z-test, T-test, and ANOVA, each serving d…
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Non-parametric tests are a class of statistical methods that do not rely on assumptions about the underlying distribution of data. Unlike parametric tests, which assume a specific distribution for the data, non-parametric tests are more flexible and can be applied to a wider range of data types. This makes them particularly useful in situations whe…
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The General Linear Model (GLM) is a foundational framework in statistical analysis, widely used for modeling and understanding relationships between variables. It offers a flexible and comprehensive approach for analyzing data by encompassing various types of linear relationships and can be applied across numerous fields including economics, social…
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Prof. Mark Solms, a neuroscientist and psychoanalyst, discusses his groundbreaking work on consciousness, challenging conventional cortex-centric views and emphasizing the role of brainstem structures in generating consciousness and affect. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without …
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Anna Ivanova | Assistant Professor, School of Psychology | Georgia Tech College of Sciences "Dissociating Language and Thought in Humans and in Machines" “What is the relationship between language and thought? This question has long intrigued researchers across scientific fields. In this talk, I will propose a framework for clarifying the language-…
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How AI Can Help Address Toxic Polarization In this bonus episode of Outrage Overload, we dive into the intriguing potential of artificial intelligence to reduce political polarization in online spaces. Our guest, Steve McIntosh—developmental philosopher, author, and co-founder of the Developmental Politics Project—joins us to discuss his work on De…
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Statistical models are powerful tools that allow us to understand, describe, and predict patterns in data. These models provide a structured way to capture the underlying relationships between variables, enabling us to make informed decisions, test hypotheses, and generate predictions about future outcomes. Whether in science, economics, medicine, …
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AI researcher Jim Fan has had a charmed career. He was OpenAI’s first intern before he did his PhD at Stanford with “godmother of AI,” Fei-Fei Li. He graduated into a research scientist position at Nvidia and now leads its Embodied AI “GEAR” group. The lab’s current work spans foundation models for humanoid robots to agents for virtual worlds. Jim …
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Point and interval estimation are key concepts in statistics that provide methods for estimating population parameters based on sample data. These techniques are fundamental to making informed decisions and predictions in various fields, from science and engineering to economics and public policy. By offering both specific values and ranges of plau…
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Dr. Patrick Lewis, who coined the term RAG (Retrieval Augmented Generation) and now works at Cohere, discusses the evolution of language models, RAG systems, and challenges in AI evaluation. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price h…
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I'd love to hear from you! Unlock the secrets to overcoming burnout by cultivating peace and emotional well-being in this riveting episode of "Emotional Intelligence: Your Greatest Asset and Key to Success." We explore how finding joy in your role, whether it’s through event planning or mentoring, can be transformative. Special guest Anne DeButte, …
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Have you ever wondered how powerful your imagination truly is? In this episode, we're diving deep into the incredible connection between imagination and attention—and how, when harnessed consciously, your imagination can reshape your reality. We'll explore how imagination goes beyond just daydreaming and becomes a tool for personal transformation. …
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P-values and confidence intervals are fundamental concepts in statistical analysis, providing critical insights into the reliability and significance of data findings. These tools help researchers, scientists, and analysts make informed decisions based on sample data, enabling them to draw conclusions about broader populations with a known level of…
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What if you could control your intentions and shape your destiny? In this episode, I take you through the practice of intention-setting. We'll explore how aligning your intentions with your heart and spirit can lead to a life of fulfilment, joy, and effortless manifestation. You'll learn the art of setting clear, powerful intentions and discover ho…
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ImageNet is a large-scale visual database designed for use in visual object recognition research, and it has played a pivotal role in advancing the field of computer vision and deep learning. Launched in 2009 by researchers at Princeton and Stanford, ImageNet consists of millions of labeled images categorized into thousands of object classes, makin…
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Bayesian inference is a powerful statistical method that provides a framework for updating our beliefs in light of new evidence. Rooted in Bayes' theorem, this approach allows us to combine prior knowledge with new data to form updated, or posterior, distributions, which offer a more nuanced and flexible understanding of the parameters we are study…
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Ashley Edwards, who was working at DeepMind when she co-authored the Genie paper and is now at Runway, covered several key aspects of the Genie AI system and its applications in video generation, robotics, and game creation. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases …
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Statistical inference is a critical branch of statistics that involves making predictions, estimates, or decisions about a population based on a sample of data. It serves as the bridge between raw data and meaningful insights, allowing researchers, analysts, and decision-makers to draw conclusions that extend beyond the immediate data at hand. Core…
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Saurabh Baji discusses Cohere's approach to developing and deploying large language models (LLMs) for enterprise use. * Cohere focuses on pragmatic, efficient models tailored for business applications rather than pursuing the largest possible models. * They offer flexible deployment options, from cloud services to on-premises installations, to meet…
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Sampling techniques are crucial methods used in statistics to select a subset of individuals or observations from a larger population. These techniques allow researchers to gather data efficiently while ensuring that the sample accurately reflects the characteristics of the entire population. Among the most widely used sampling methods are random s…
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How to Combat the Misinformation Crisis In this episode, we sit down with Samuel Spitali, author of How to Win the War on Truth, to unravel the complexities of misinformation and its impact on society. Samuel offers a deep dive into the history of media polarization, examining key moments like the removal of the Fairness Doctrine and the rise of pa…
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Sampling distributions are a fundamental concept in statistics that play a crucial role in understanding how sample data relates to the broader population. When we collect data from a sample, we often want to make inferences about the entire population from which the sample was drawn. However, individual samples can vary, leading to differences bet…
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David Hanson, CEO of Hanson Robotics and creator of the humanoid robot Sofia, explores the intersection of artificial intelligence, ethics, and human potential. In this thought-provoking interview, Hanson discusses his vision for developing AI systems that embody the best aspects of humanity while pushing beyond our current limitations, aiming to a…
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There’s a new archetype in Silicon Valley, the AI researcher turned founder. Instead of tinkering in a garage they write papers that earn them the right to collaborate with cutting-edge labs until they break out and start their own. This is the story of wunderkind Eric Steinberger, the founder and CEO of Magic.dev. Eric came to programming through …
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The Central Limit Theorem (CLT) is one of the most important and foundational concepts in statistics. It provides a crucial link between probability theory and statistical inference, enabling statisticians and researchers to draw reliable conclusions about a population based on sample data. The CLT states that, under certain conditions, the distrib…
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I'd love to hear from you! Can emotional intelligence be the key to unlocking your business potential? Join me and Micaela Passeri, an award-winning emotional intelligence and business performance coach, to explore her incredible journey from founding the Love You Revolution clothing line to becoming a transformative coach. Micaela shares how her c…
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In this episode of Science & Spirituality, we sit down with Sarah Woodard, an award-winning story keeper and healing catalyst, to explore how reconnecting with nature can profoundly transform not only our well-being but also the planet. Sarah takes us on a journey through her personal experiences with nature, Reiki, and Shamanism, sharing how embra…
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Sampling and distributions are fundamental concepts in statistics that play a crucial role in analyzing and understanding data. They form the backbone of statistical inference, enabling researchers to draw conclusions about a population based on a smaller, manageable subset of data. By understanding how samples relate to distributions, statistician…
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Kernel Density Estimation (KDE) is a non-parametric method used in statistics to estimate the probability density function of a random variable. Unlike traditional methods that rely on predefined distributions, KDE provides a flexible way to model the underlying distribution of data without making strong assumptions. This makes KDE a versatile and …
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Distribution-free tests, also known as non-parametric tests, are statistical methods used for hypothesis testing that do not rely on any assumptions about the underlying distribution of the data. Unlike parametric tests, which assume that data follows a specific distribution (such as the normal distribution), distribution-free tests offer a more fl…
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Non-parametric statistics is a branch of statistics that offers powerful tools for analyzing data without the need for making assumptions about the underlying distribution of the data. Unlike parametric methods, which require the data to follow a specific distribution (such as the normal distribution), non-parametric methods are more flexible and c…
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David Spivak, a mathematician known for his work in category theory, discusses a wide range of topics related to intelligence, creativity, and the nature of knowledge. He explains category theory in simple terms and explores how it relates to understanding complex systems and relationships. MLST is sponsored by Brave: The Brave Search API covers ov…
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Factor Analysis (FA) is a statistical method used to identify underlying relationships between observed variables. By reducing a large set of variables into a smaller number of factors, FA helps to simplify data, uncover hidden patterns, and reveal the underlying structure of complex datasets. This technique is widely employed in fields such as psy…
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How Platforms Like OtherWeb and 1440 Are Changing News Consumption In this episode, we dive into the evolving landscape of news consumption with Alex Fink, CEO of OtherWeb, and Drew Steggerwald, co-founder of 1440 News. We explore how their platforms are reshaping the way we engage with information, focusing on curating a balanced and healthy media…
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Probability distributions are essential concepts in statistics and probability theory, providing a way to describe how probabilities are spread across different outcomes of a random event. They are the foundation for analyzing and interpreting data in various fields, enabling us to understand the likelihood of different outcomes, assess risks, and …
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On Training Data, we learn from innovators pushing forward the frontier of AI’s capabilities. Today we’re bringing you something different. It’s the story of a company currently implementing AI at scale in the enterprise, and how it was built from a bootstrapped idea in the pre-AI era to a 150 billion dollar market cap giant. It’s the Season 2 prem…
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Probability distributions are fundamental concepts in statistics and probability theory that describe how the probabilities of different possible outcomes are distributed across a range of values. By providing a mathematical description of the likelihood of various outcomes, probability distributions serve as the backbone for understanding and anal…
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Probability spaces form the fundamental framework within which probability theory operates. They provide a structured way to describe and analyze random events, offering a mathematical foundation for understanding uncertainty, risk, and randomness. By defining a space where all possible outcomes of an experiment or random process are considered, pr…
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Have you ever felt the pull to break free from the moulds society places on you, only to find yourself stuck, trying to be someone you’re not? In this episode, I take you on a deeply personal journey of discovering my spiritual gifts, navigating the challenges of infertility, and ultimately, stepping into my true self. This is the story of how I em…
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Multivariate statistics is a branch of statistics that deals with the simultaneous observation and analysis of more than one statistical outcome variable. Unlike univariate or bivariate analysis, which focus on one or two variables at a time, multivariate statistics considers the interrelationships between multiple variables, providing a more compr…
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Graph Recurrent Networks (GRNs) are an advanced type of neural network that combines the capabilities of recurrent neural networks (RNNs) with graph neural networks (GNNs) to model data that is both sequential and structured as graphs. GRNs are particularly powerful in scenarios where the data not only changes over time but is also interrelated in …
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Ruby is a dynamic, open-source programming language known for its simplicity, elegance, and productivity. Created by Yukihiro "Matz" Matsumoto in the mid-1990s, Ruby was designed with the principle of making programming both enjoyable and efficient. The language’s intuitive syntax and flexibility make it a favorite among developers, especially for …
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Vue.js is an open-source JavaScript framework used for building user interfaces and single-page applications. Created by Evan You in 2014, Vue.js has quickly gained popularity among developers for its simplicity, flexibility, and powerful features. It is designed to be incrementally adoptable, meaning that it can be used for everything from enhanci…
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Jürgen Schmidhuber, the father of generative AI shares his groundbreaking work in deep learning and artificial intelligence. In this exclusive interview, he discusses the history of AI, some of his contributions to the field, and his vision for the future of intelligent machines. Schmidhuber offers unique insights into the exponential growth of tec…
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After Trump: Understanding the Continuing Influence of Trumpism In Episode 46 we examine the enduring influence of Donald Trump on American politics and media. Despite the controversies surrounding his presidency, Trump continues to shape the political landscape. Special guest Robert Gutsche, a cultural studies scholar and journalist, joins the dis…
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ReactJS is a popular open-source JavaScript library used for building user interfaces, particularly single-page applications where a seamless user experience is key. Developed and maintained by Facebook, ReactJS has become a cornerstone of modern web development, enabling developers to create complex, interactive, and high-performance user interfac…
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I'd love to hear from you! What if decluttering your mind could recharge your mental battery? Join my guest Kitti Andrews and me as we explore the transformative power of decluttering both your mind and space for heightened emotional intelligence and mental clarity.An international author and speaker specializing in personal decluttering solutions,…
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Customer service is hands down the first killer app of generative AI for businesses. The reasons are simple: the costs of existing solutions are so high, the satisfaction so low and the margin for ROI so wide. But trusting your interactions with customers to hallucination-prone LLMs can be daunting. Enter Sierra. Co-founder Clay Bavor walks us thro…
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Apache Spark is an open-source, distributed computing system designed for fast and flexible large-scale data processing. Originally developed at UC Berkeley’s AMPLab, Spark has become one of the most popular big data frameworks, known for its ability to process vast amounts of data quickly and efficiently. Spark provides a unified analytics engine …
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