TopPodcast.com
Menu
  • Home
  • Top Charts
  • Top Networks
  • Top Apps
  • Top Independents
  • Top Podfluencers
  • Top Picks
    • Top Business Podcasts
    • Top True Crime Podcasts
    • Top Finance Podcasts
    • Top Comedy Podcasts
    • Top Music Podcasts
    • Top Womens Podcasts
    • Top Kids Podcasts
    • Top Sports Podcasts
    • Top News Podcasts
    • Top Tech Podcasts
    • Top Crypto Podcasts
    • Top Entrepreneurial Podcasts
    • Top Fantasy Sports Podcasts
    • Top Political Podcasts
    • Top Science Podcasts
    • Top Self Help Podcasts
    • Top Sports Betting Podcasts
    • Top Stocks Podcasts
  • Podcast News
  • About Us
  • Podcast Advertising
  • Contact
Not in our directory?
Add Show Here
Podcast Equipment
Center

toppodcastlogoOur TOPPODCAST Picks

  • Comedy
  • Crypto
  • Sports
  • News
  • Politics
  • True Crime
  • Business
  • Finance

Follow Us

toppodcastlogoStay Connected

    View Top 200 Chart
    Back to Rankings Page
    Technology

    The Minhaaj’s Podcast

    Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.

    Advertise
    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    AI and Future of Automation with Aytekin Tank Dec 16, 2025
    Show notes

    Aytekin is the founder and CEO of JotForm, one of the most widely used no-code automation platforms in the world, serving more than 35 million users across education, healthcare, nonprofits, and small businesses.

    He’s also the author of the Wall Street Journal and Publisher’s Weekly bestselling book Automate Your Busy Work,


    00:00 – Introduction
    Founder mindset, automation philosophy, and the future of work

    00:01 – Why Automate Your Busy Work Was Ahead of Its Time
    No-code, automation thinking before the AI boom

    01:09 – Building JotForm Before the AI Hype Cycle
    20 years of bootstrapping, slow growth, and real product-market fit

    02:29 – Forms as the Gateway to Automation
    How education, nonprofits, healthcare, and SMBs really work

    03:49 – From Forms to Workflows, Approvals, PDFs, and E-Signatures
    Designing automation for people without developers

    04:21 – Solo Founder Reality: Doing HR, Legal, Support, and Product Alone
    The hidden cognitive cost of running everything yourself

    04:51 – Competing with Google Forms as a Bootstrapped Founder
    Why automation and delegation became survival tools

    05:58 – Email Automation as Cognitive Relief
    How prioritization systems reduce stress and decision fatigue

    07:41 – Applying Automation Internally: Teams, CI/CD, and Testing
    Why automation makes teams safer, not riskier

    08:10 – Designing Products Around How People Actually Work
    From tools to systems thinking

    09:17 – Writing, Teaching, and Sharing Automation Principles
    From Medium and Forbes to a bestselling book

    10:48 – Discovering the AI Revolution After Publishing the Book
    Automation philosophy vs AI productivity tools

    11:16 – “People Aren’t Overworked — They’re Over-Busy”
    The psychology of modern work and burnout

    12:28 – Embodying Automation Principles Inside the Company
    Scaling without chaos

    12:48 – Email Prioritization Systems That Actually Work
    How to design inboxes for executives and founders

    14:20 – Gmail Filters, Labels, and Decision Automation
    Simple systems over complex tools

    16:59 – Automation as Stress Reduction, Not Speed
    Why missing important work causes burnout

    19:21 – Continuous Deployment and First-Day Code Commits
    How automation builds trust and confidence at scale

    21:12 – Why Automation Shouldn’t Be Feared
    Risk reduction through systems

    22:08 – Internal Automation Lessons from JotForm’s Engineering Culture

    23:01 – Future of Work: Policy, Strategy, and AI
    WEF, global work, and structural change

    24:32 – Does AI Kill Jobs or Create Better Ones?
    A real company case study

    25:02 – Deploying AI Support Without Laying Off Employees
    How JotForm handled AI responsibly

    27:09 – Human-in-the-Loop AI Systems
    Why oversight matters more than hype

    28:19 – Training AI Through Documentation and Feedback
    How resolution rates improved from 25% to 75%

    31:01 – Improving AI Through Better Knowledge Systems
    Documentation as infrastructure

    32:36 – New Roles Created by AI Adoption
    From support agents to AI evaluators

    33:29 – Multilingual AI Support at Global Scale
    Why AI enables inclusion, not just efficiency

    35:09 – Why JotForm Didn’t Get Acquired
    Independence, focus, and long-term thinking

    39:29 – Focused Work, Fewer Hours, Higher Leverage
    Redefining productivity at scale

    41:06 – Evolution of JotForm Into a Full Automation Platform
    From forms to AI agents and integrations

    42:09 – AI Agents Demo Discussion and Key Takeaways
    Real use cases, real ROI

    46:18 – User Research at Massive Scale
    Learning from 35 million users

    48:03 – Omnichannel AI Agents: Web, Instagram, Gmail, Salesforce
    Training once, deploying everywhere

    49:35 – The Future of AI Agents as Digital Employees
    One system, many touchpoints

    50:14 – Advice for Young Developers and Founders
    How to compete in the AI era

    50:49 – Growth Mindset Through Every Tech Revolution
    From PCs to the internet to AI

    52:10 – Why This Is the Best Time to Be Young
    Opportunities created by AI and no-code tools

    53:38 – Closing Reflections on Building, Learning, and Purpose
    A long-term view of work and life



    Working at DeepMind with Aleksa Gordic Jul 12, 2023
    Show notes


    Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium.


    # Timestamps


    00:00 Intro

    00:45 Dropping Out, Self Learning & Chris Olah

    03:20 From Android Developer to ML Engineer

    06:25 LeetCode and CodeForces, Coding vs Soft Skills

    17:30 Input and Output Mode of Learning

    21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling

    25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World

    29:29 Inspirational Teachers

    31:50 Microsoft HoloLens Summer Camp & Apple Vision

    39:26 Microsoft Research, Google Ai, OpenAI & ResNet

    41:50 Culture at Microsoft vs Google, Teams & Research Areas

    50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML

    01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition

    01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’

    01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware

    01:16:18 LLM benchmark Saturation & Research Directions

    01:20:37 Disinformation, Adobe Firefly and Social Fabric

    01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit

    01:28:30 Politicization of AI, Supercomputing & Technological Real Politik

    01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions

    01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US

    01:47:00 Life outside Work, Sports & Calisthenics


    Julia and Data Science with Bogumil Kaminski Jun 29, 2023
    Show notes

    Season 2 episode 2 of The Minhaaj Podcast this week brings on the child prodigy and genius co-creator of dataframes.jl package for Julia, Dr Bogumił Kamiński. Bogumil learned C language without owning a computer from library books at the age of 16 in a small Polish town. In post-communist Poland he went on to study applied problems in management and economics and his interest lies in computational models for real-life problems.
    He currently serves as the full professor of economics at the Warsaw School of Economics. He also holds the following positions:
    - Head of Decision Analysis and Support Unit
    - Chairman of the Scientific Council for the Discipline of Economics and Finance
    - Member of the Presidium, Statistics and Econometrics Committee, Polish Academy of Sciences
    - Adjunct Professor, Toronto Metropolitan University
    - Data Science Laboratory Researcher, Fields Institute, Computational Methods in Industrial Mathematics Laboratory
    - Affiliated Faculty, Toronto Metropolitan University, Cybersecurity Research Lab
    President, INFORMS Polish Section
    - Co-editor, Central European Journal of Economic Modelling and Econometrics
    - Editorial board member, Multiple Criteria Decision Making journal
    Independent Supervisory Board Member, AutoPartner S.A.
    Bogumił Kamiński is an expert in the application of mathematical modeling to solve practical problems in business. In the past, he gathered experience as head of business intelligence and data analytics units in one of the largest Polish consulting and IT solution implementation companies.
    His field of expertise is the creation of complex decision-support models that use machine learning, optimization, and simulation methods. He is one of the world-leading experts in the Julia language and has numerous contributions to the core of the language and the package ecosystem. He created the famous dataframes.jl package for data science.
    He also created SilverDecisions software, which is freely available online for modeling decision trees. He has written five books one of which I have reviewed earlier, Julia for Data Science.
    # Timestamps
    00:00 Intro
    01:08 Learning Programming, Communist Poland & First Computer
    07:07 Polish Education System & STEM teaching
    11:35 Julia’s Conceptualization & Expectations
    28:05 PetaFLOP club language, Data Type-based Operations & Julia’s Performance
    38:11 Project Celeste, 800M astronomical objects detection, HPC in Julia
    59:50 Julia in Academia vs Industry - Speed & Ease of Learning
    01:21:21 Customer-facing Apps, Streamline vs Genie
    01:38:56 Julia and LLMs, Falcon 40B, Training & Inferencing in Julia
    01:45:05 Relearning Julia, How to get Started
    01:51:09 From in-memory to cluster processing and MIT partnership
    01:59:09 Family, Productivity, Community & Work - Juggling different Balls


    AI powered self serving BI with Ryan Janssen & Paul Blankely - Zenlytic Jun 20, 2023
    Show notes

    Ryan is an entrepreneur, data scientist, engineer, and former VC. He is the co-founder and CEO of Zenlytic, a SaaS business that makes a next-generation AI-powered BI tool that uses LLMs and Semantic layers. He previously co-founded Ex Quanta AI Studio, a full-service data consultancy. Ryan started his career as a software developer in his native Canada, before moving to the UK. He then worked with London’s AGC Equity Partners venture capitalist and private equity investor, investing in technology businesses with check sizes of $1-$50m. He has also worked as a consultant with McKinsey & Co. and Ernst & Young. He has master's degrees from Harvard University and Oxford University and a bachelor’s degree from the University of Alberta. Paul is the Co-founder / CTO of Zenlytic, a self-serve BI tool that uses LLMs to provide a simple chat interface to complex business data. He's worked in data for 7+ years and is passionate about all things data and AI. He has a master's from Harvard in Data Science, and while there, he worked with the Minor Planet Center on algorithms to detect if previously untraceable asteroids were going to hit the Earth. Before Harvard, he worked for Roche developing algorithms that run hand-held blood glucose meters. He lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing. Zenlytic has raised seed round funding from Sequoia Capital and Bain Capital Ventures among others for over $6M. It is revolutionizing how AI is changing the business analytics and visualization powered by plain self-serving chats with its AI assistant Zoe. transcript 00:00 Intro 02:15 Zenlytic, Dashboards and Self-serve Tools 04:42 PowerBI, Tableau & Why Another Tool 06:29 Semantic Layer on LLMs and Self-Serve Analytics 13:00 Replacing BI Analysts, Yann Lecaun & LLM Hallucination 15:19 Zoe, Zenlytic AI Assistant & Use Cases 23:24 Chat-based KPI Dashboard Making 26:312 Meeting at Harvard & Friendship outside Harvard 30:00 Role of Ivy League Network in securing VC Funding 34:50 Ingredients for landing VC Funding 37:32 Webapps vs Mobile Apps & Slack Integration 43:20 Cloud vs On-Prem, Security vs Flexibility 47:03 Snowflake vs Databricks 51:12 Cost per Acquisition & Burn Rate for Start Ups 57:01 No-code vs Code, Bubble for Web Design 01:01:31 AI doomerism and Future of Work 01:08:22 Grad School Project on Telescopes Monitoring Asteroid 01:11:00 Horse betting and Gambling Algorithms 01:19:30 AI race between US & China and its Impacts 01:34:50 EU AI Act, Regulation vs Innovation, Prevention vs Experiment 01:39:10 Generative AI and Societal Challenges 01:45:14 Start-Up Hiring and Quality of University Grads and Education 01:57:00 Future of Zenlytic & Upcoming Features Guest links: Ryan Janssen: https://www.linkedin.com/in/janssenryan/ Paul Blankley: https://www.linkedin.com/in/paulblank... Zenlytic: https://www.zenlytic.com/


    Prosthetic Hands with Aadeel Akhtar Mar 14, 2022
    Show notes



    Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek.


    00:00 Intro

    01:42 Multiarticulation of Prosthetic Hand, Finger Movements

    03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics

    04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility

    06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World

    08:45 3D Printing of Hand and Distribution of locally vs imported Parts

    11:00 Fixing Repair Problems for Imported Components from China, COVID 19

    12:31 USB port, Bluetooth and Spiderman Web

    16:56 Android/iOS App, AI&ML & Sensitivity Controller

    18:50 From Research to Market, Tactile Feedback

    24:15 Invasive Technology, Electrode Scarring & Partnerships

    27:11 Cortical Implants & Future of BCIs for Humanity

    31:39 Neuroscience Labs as Co-working Spaces

    33:20 Guitar, Linkin Park & Mohawk

    38:34 OpenAI and Rubic Cube vs Prosthetic Hand

    49:16 Work in Ecuador & Inception of the Idea

    52:39 3D Printing vs Manual Construction of Prosthetics - Robustness

    01:04:31 Multimodel Neuroplasticity & Forced Interchangeability

    01:10:06 Neuroscience of Parenting, Catch 22

    01:14:00 Importance of Recognition & Thanking the Crew as a Leader

    01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand

    01:20:29 Going Global and Exploring New Markets

    01:23:31 Infection Mitigation Design

    01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan

    01:36:33 Shoe Dog by Phil Knight and Power of Grit

    01:40:40 Impact, Legacy & Fulfillment


    Guest Social Media Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/




    Follow us:

    Full Episodes Playlist link: https://bit.ly/3p2oWJA

    Clips Playlist link: https://bit.ly/3p0Qmzs

    Apple Podcasts: https://apple.co/3v0YZxV

    Google: https://bit.ly/3s5vDwc

    Spotify: https://spoti.fi/3H6jqf0


    Who is Minhaaj?

    Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.

    CONNECT WITH Minhaaj

    ✩ Website - https://bit.ly/3LMvwgT

    ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G

    ✩ Twitter - https://bit.ly/3v3t1RJ

    ✩ Facebook - https://bit.ly/3sV0XgE

    ✩ ResearchGate - https://bit.ly/3I6BvLu

    ✩ Linkedin - https://bit.ly/3v3FswQ

    ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO


    Data Warehouse with Bill Inmon Mar 07, 2022
    Show notes

    William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.



    00:00 Intro

    01:17 From failed Golf Career to a Computing one

    03:06 Originality, Patterns & Database Design

    04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s

    11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors

    14:26 Winning over Marketing & Sales People vs IT Departments

    18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company

    20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL

    30:20 Corporate Information Factory, DataMarts & ETL

    32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse

    36:15 Data Reliability with Data Marts vs Centralised Data Warehouse

    39:00 Staging Area in Kimball System vs Vetting the Data

    41:00 Metadata, Beethoven & Importance of Metadata,

    45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College

    48:51 Writing Course at Stanford, Fiction & Technical Communication

    51:16 Fiction Published Work & Posthumous Publishing

    57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation

    01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing

    01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19

    01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity

    01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception

    01:29:45 Venture Capitalists are not Smart People, they are Rich People.

    01:35:31 Cloud Computing vs Local DWHs

    01:38:06 Databricks vs Snowflake

    01:42:03 Not a Book Reader, Carving your Own Path

    01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions

    01:50:00 From California to Colorado, Nature in the Rockies & Life


    Follow us:

    Full Episodes Playlist link: https://bit.ly/3p2oWJA

    Clips Playlist link: https://bit.ly/3p0Qmzs

    Apple Podcasts: https://apple.co/3v0YZxV

    Google: https://bit.ly/3s5vDwc

    Spotify: https://spoti.fi/3H6jqf0


    Who is Minhaaj? Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.

    CONNECT WITH Minhaaj

    ✩ Website - https://bit.ly/3LMvwgT

    ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G

    ✩ Twitter - https://bit.ly/3v3t1RJ

    ✩ Facebook - https://bit.ly/3sV0XgE

    ✩ ResearchGate - https://bit.ly/3I6BvLu

    ✩ Linkedin - https://bit.ly/3v3FswQ

    ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO


    Building Data Teams & Culture - Lisa Cohen Nov 19, 2021
    Show notes

    Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI. 00:00 Intro 02:52 Harvard, Microsoft, and Twitter. From SE to Data Science 03:40 Work Culture at Microsoft, Bigger Picture & Customer First Paradigm 16:40 Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan 19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink 23:13 Working Styles, Introversion vs Extraversion, 26:43 5-day Week, Focus and Scandinavian Productivity 28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking 34:28 Twitter vs Everything else, Metaverse, Space Tourism, 36:50 Non-computing Backgrounds & Transition into Data Science 42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage 46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella 51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders 55:00 Roadblocks in Optimising Data Utilization for Creating Business Value 01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft 01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI 01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster 01:17:06 Lessons for Leadership being a Parent. 01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon 01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents 01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model 01:27:19 Mentors and Best Advice 01:30:05 Jack Dorsey, Life, Legacy & Impact on Others yse083q3AKJv8eUnKDPK


    Data Science Careers with Dhaval Patel - Codebasics Youtube Oct 23, 2021
    Show notes

    Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide.


    00:00 Intro

    01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life

    03:40 Mental Health, Steroids & Immune System

    11:00 Planning Videos, Pedagogy & Smart People Problem

    17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg

    21:13 Career Tracks on Data Related Spectrum, Pathways for different Careers

    25:16 Data Structure and Algorithms, Politics vs Equations, Eternity

    28:20 ML vs Deterministic Programming, Time & Space complexity of the ML Models

    30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases

    30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability

    42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie

    46:50 Death by PowerPoint, Simplicity & Walk vs Talk

    49:51 Negotiating Salary, Action vs Motivation, Cellphone is a Distraction

    57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food

    01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering

    01:04:04 Deep learning, C++ Back-propagation Algorithms, Nvidia Titan RTX GPUs, Amazon Stores Experience

    01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection

    01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,

    01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models

    01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages

    01:27:01 ETL pipelines & Distributed Computing Structures

    01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0

    01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv

    01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab

    01:41:30 Google Pixel, Google Tensor Chips & Chip Shortages

    01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset

    01:49:00 Struggles, Battles, Hopelessness & Dysphonia


    BCIs, Neuro Modulation and NeuroEthics with Harrison Canning Oct 16, 2021
    Show notes

    Harrison Canning is a student at the Rochester Institute of Technology in the School of Individualized Studies, Founder of The BCI Guys & Neurotechnology Exploration Team. He makes videos on his Youtube channel The BCI Guys and has designed his own degree centered around brain-computer interface technology (BA in Neurotechnology).

    The BCI Guys is a media company dedicated to removing the barrier to entry and increasing interest in the field of neurotechnology. It produces engaging, sensational, digestible, and informative content via YouTube, podcasts, and blog posts. Its aim is to lead the conversation around neurotechnology through a science-based approach and conveying what is possible, while also conveying the tremendous potential of brain-computer interface and neuromodulation technologies.

    00:00 Intro

    01:34 Assault, Concussion and Neurotech

    06:01 Coping with Memory Loss, Mathematical Ability & Courage

    12:50 Moral Support, SuperMoms & Hope

    08:15 Bodysuits, Neuro diseases, Robotics & Boston Dynamics

    10:48 Pros and Cons of invasive vs non-invasive Solutions, 1000 Brains Theory, Signal Amplification Issues

    13:40 Lucid Dreams, Brain Wave Differences in Human Subjects, RIT Neurotech Research Lab

    28:16 Accuracy for Apple Watches & Wearables and Size to Measurement Precision Ration

    30:39 SpO2 Levels, Sleep and Stress levels, False Positives

    33:32 Delta Waves, Meditation and Focus Research

    37:30 Post-trauma Brain Rewiring, Man with Half a Brain, Machine Learning & Intent Prediction through Connectomes

    43:10 NeoCortex in Humans vs Other Animal Species, Cons of Late Maturation of Cortex, Human Behavioral Biology

    47:00 NeuroPharmacology vs NeuroModulation, Addiction & Jordan Peterson

    50:00 Deep Brain Stimulation, Jaak Panksepp, Clinical trials on 2000 People, Controllable Neuro Modulation to Alleviate Pain

    53:30 Number of Electrodes, Depression & Anxiety, Neuropathic Pain

    56:10 Seizure Detection through AI, Brain Wave Patterns for Seizures, Chip Implants for Preventing them

    58:30 Inspiring Mentor & Role Model

    01:02:40 Neuroscience Starter Kit, Cost of Hypondyne Z vs OpenBCI , $499 EEG Cap

    01:06:04 Neurotech Education Around the World. Neurotechx Latam, Nigerian Schools

    01:10:02 Distributed Neurotech, Remote Patient Monitoring, Technology Exchange

    01:14:50 Wernicke & Broca’s Area, Speech Restoration through ML & BrainGate

    01:21:25 Motor vs Sensory Homunculus, Sense Substitution & Neuroplasticity

    01:26:18 Predicting Human Activity based on Brain Waves, Jennifer Anniston Neuron & Dedicated Neurons

    01:30:30 AGI, Recreation of Artificial Brain & Limbic System

    01:36:00 Stereotypes as Dropout Regularisation, Racism, Xenophobia, Polarity

    01:39:20 Icecream, Greasy Food, Music, Happiness, Sex & Rationality

    01:42:00 Future of BCI Guys

    01:27:30 Neuroethics, Facebook Whistleblower, Body Image, Culture, Society & Cognitive Enhancements



    Pytorch Geometric with Matthias Fey Oct 09, 2021
    Show notes

    Matthias Fey is the creator of the Pytorch Geometric library and a postdoctoral researcher in deep learning at TU Dortmund Germany. He is a core contributor to the Open Graph Benchmark dataset initiative in collaboration with Stanford University Professor Jure Leskovec.

    00:00 Intro

    00:50 Pytorch Geometric Inception

    02:57 Graph NNs vs CNNs, Transformers, RNNs

    05:00 Implementation of GNNs as an extension of other ANNs

    08:15 Image Synthesis from Textual Inputs as GNNs

    10:48 Image classification Implementations on augmented Data in GNNs

    13:40 Multimodal Data implementation in GNNs

    16:25 Computational complexity of GNN Models

    18:55 GNNAuto Scale Paper, Big Data Scalability

    24:39 Open Graph Benchmark Dataset Initiative with Stanford, Jure Leskovec and Large Networks

    30:14 PyG in production, Biology, Chemistry and Fraud Detection

    33:10 Solving Cold Start Problem in Recommender Systems using GNNs

    38:21 German Football League, Bundesliga & Playing in Best team of Worst League

    41:54 Pytorch Geometric in ICLR and NeurIPS and rise in GNN-based papers

    43:27 Intrusion Detection, Anomaly Detection, and Social Network Monitoring as GNN implementation

    46:10 Raw data conversion to Graph format as Input in PyG

    50:00 Boilerplate templates for PyG for Citizen Data Scientists

    53:37 GUI for beginners and Get Started Wizards

    56:43 AutoML for PyG and timeline for Tensorflow Version

    01:02:40 Explainability concerns in PyG and GNNs in general

    01:04:40 CSV files in PyG and Structured Data Explainability

    01:06:32 Playing Bass, Octoberfest & 99 Red Balloons

    01:09:50 Collaboration with Stanford, OGB & Core Team

    01:15:25 Leaderboards on Benchmark Datasets at OGB Website, Arvix Dataset

    01:17:11 Datasets from outside Stanford, Harvard, Facebook etc

    01:19:00 Kaggle vs Self-owned Competition Platform

    01:20:00 Deploying Arvix Model for Recommendation of Papers

    01:22:40 Future Directions of Research

    01:26:00 Collaborations, Jurgen Schmidthuber & Combined Research

    01:27:30 Sharing Office with a Dog, 2 Rabbits and How to train Cats



    1 2 3 4 Next

    Related Podcasts

    Reply All

    1

    Reply All Games & Hobbies
    Inside VR & AR

    2

    Inside VR & AR Gadgets
    Note to Self

    3

    Note to Self News
    BrainStuff

    4

    BrainStuff Natural Sciences
    This Week in Tech (Audio)

    5

    This Week in Tech (Audio) News
    Hands-On Tech (Audio)

    6

    Hands-On Tech (Audio) Technology
    footer-logo

    Contact Us

    Toll Free: 844-670-7747

    Links

    • Home
    • Top Charts
    • Networks
    • Apps
    • Independents Podcasts
    • Podcast Advertising
    • Podcast News
    • Contact Us
    • About Us
    • Analytics & Insights

    Stay Connected

      Privacy, Terms of Use & Our Code of Ethics Protecting Content Creators Copyrights