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20 Best Neural Network Podcasts of 2021

Are you wanting to learn more about neural network? Well you’ve come to the right place. This is a curated list of the best neural network podcasts of 2021.

We have selected these podcasts for a variety of reasons, but they are all well worth a listen. We tried to select a variety of podcasts across the spectrum from hosts with a wide breadth of experience.

We are always keen to hear your feedback, if we have missed a podcast, Linkedin us Threat.technology (Linkedin) and we will check it out!

Best Neural Network Podcasts 2021

With thanks to ListenNotes, Crunchbase, SemRush and Ahrefs for providing the data to create and rank these podcasts.

BrainChip Podcast

  • Publisher: BrainChip Inc
  • Total Episodes: 7

The BrainChip podcast is a monthly coverage of neuromorphic processor developments covering artificial intelligence to the Edge, developments in event based neural network processing inspired by the spiking nature of the human brain. Who is this podcast for? These podcasts are intended to provide insights for the engineering community, technical editors that write about the burgeoning Artificial Intelligence market, potential investors and anyone with an interest in AI.

Tesla Daily: Tesla News & Analysis

  • Publisher: Rob Maurer
  • Total Episodes: 813

Tesla Daily is a podcast covering all things Tesla, Inc., published every weekday. News on Tesla Motors, Tesla Energy, Tesla Solar, and Tesla Network is discussed in a concise and consistent manner, making it easy to stay up-to-date on the latest from Tesla. Dedicated to keeping investors and customers well-informed, Tesla Daily host Rob Maurer provides analysis and opinions on Tesla as a company, TSLA stock, and the future of the many industries Tesla competes in. Additionally, Tesla Daily covers major news from Elon Musk’s SpaceX, Neuralink, and The Boring Company.

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

  • Publisher: Sam Charrington
  • Total Episodes: 499

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

Brain Inspired

  • Publisher: Paul Middlebrooks
  • Total Episodes: 109

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.

A4N (AI/Machine Learning News)

  • Publisher: Jon Krohn
  • Total Episodes: 4

A4N  —  the Artificial Neural Network News Network — is a lighthearted podcast covering the latest developments in artificial intelligence, machine learning, and data science, in which we both introduce technical aspects of these advances, as well as their social implications. The intended audience is anyone interested in automation, A.I., or the future, with brief sections catering especially to professionals working in the fields of data science or software engineering.

Practical AI: Machine Learning & Data Science

  • Publisher: Changelog Media
  • Total Episodes: 134

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Neural Network

  • Publisher: Neural Network
  • Total Episodes: 8

The Neural Network is a project highlighting people with TBIs and especially post concussion syndrome. It is part of a Girl Scout Gold Award project.

FLIP FLOP RADIO SHOW

  • Publisher: PEANUT BUTTER
  • Total Episodes: 44

PEANUT BUTTER is a neural network that structures the brain mass. Get on our particular ice cream cart and taste our sounds whispering to the spirits that freely roam the Cosmos, all of them, guarded by the drug. Our goal in life is to make techno music in flip flops. For the lonely happy anxious of sex and alcohol, for the bohemians of the bars that have no clock, for the devotees of the temples where there is no God, for the madmen of the bars and for the fervent of love, for the aimless lovers of the neon GOOD VIBRAS FOR ETERNITY. . . . Do you want to know something else? Ask us brother.

Deep Learning 2018 (Audio)

  • Publisher: Prof. Dr. Andreas Maier
  • Total Episodes: 13

Deep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises: (multilayer) perceptron, backpropagation, fully connected neural networks loss functions and optimization strategies convolutional neural networks (CNNs) activation functions regularization strategies common practices for training and evaluating neural networks visualization of networks and results common architectures, such as LeNet, Alexnet, VGG, GoogleNet recurrent neural networks (RNN, TBPTT, LSTM, GRU) deep reinforcement learning unsupervised learning (autoencoder, RBM, DBM, VAE) generative adversarial networks (GANs) weakly supervised learning applications of deep learning (segmentation, object detection, speech recognition, …)

Dick Moberg’s Neural Network

  • Publisher: Dick Moberg
  • Total Episodes: 17

Dick Moberg is an entrepreneur, inventor, and thought leader in the field of neurological monitoring systems. As a featured guest at neuroscience conferences worldwide, Dick speaks on topics such as healthcare informatics, physiologic monitoring of acute brain injury, and emergent trends in neurocritical care research. “Dick Moberg’s Neural Network” is a compilation of interviews with some of the leading voices in the field of neurocritical care.

Neural Networking

  • Publisher: Alex
  • Total Episodes: 7

Welcome to Neural Networking! With new episodes through the 2021 Spring semester, our host and Virginia Tech Senior in Clinical Neuroscience, Alex Spenik, sits down with some of the most interesting professionals in the Neuroscience community to bring you stories about their background, research, life, advice, and fun questions. Look forward to getting to know your professors, researchers, physicians, alumni, and more on a meaningful level during this time in our lives where it’s hard to have deep conversations over virtual courses. The Neural Networking podcast aims to inspire neuroscience Hokies and anyone interested through great conversations with role model professionals in their field and bring us all together throughout this semester.

A.I. With Sally Ward

  • Publisher: AspenCore
  • Total Episodes: 1

AI With Sally presents a variety of deeply technical, but concisely explained topics covering cutting-edge AI accelerator chips, software, systems, algorithms, neural networks, companies and many other subjects related to artificial intelligence and machi

Building the Future with AI

  • Publisher: Noah Kenney
  • Total Episodes: 12

Building the Future with AI will inform listeners on various up and coming technologies that are revolutionizing modern civilization. We’ll discuss artificial intelligence, machine learning, deep learning, natural language processing, natural language understanding, neural networks, quantum computing, big data, and so much more!In this podcast, we’ll discuss the pros and cons of artificial intelligence, how artificial intelligence can benefit enterprises and end users, and some of the issues concerning artificial intelligence! This podcast is brought to you by Visionary Communications.

Hidden Layers

  • Publisher: Jeremy Fain
  • Total Episodes: 28

Hidden Layers, the new podcast from ad industry veteran Jeremy Fain, connects with some of the world’s leading experts in and around the disciplines of deep learning, neural networks, machine learning and data-backed insights to understand the implications of each, how they’re evolving, and intersect with the art and science of our everyday lives. Each episode is intended to gives listeners access to short, informative breakthrough stories and updates on the latest industry developments from the best and brightest experts in their respective fields.

Me and My AI

  • Publisher: Dave Plus
  • Total Episodes: 7

Learn about AI and Neural Networks from the ground up with a host who is doing the same

SYSTRAN Podcast

  • Publisher: SYSTRAN Software, Inc.
  • Total Episodes: 3

SYSTRAN has been helping commercial, defense, and national security organizations capture mission-critical data for the last 52 years. We operate globally with locations in Americas, Europe, and Asia.As the first software company to introduce Neural Machine Translation technology, SYSTRAN is continuing to lead the innovation in language technologies. SYSTRAN’s brand new Purely Neural Machine Translation (PNMT) products utilize Neural Networks and Deep Learning algorithms to achieve unprecedented translation quality that is near human translation levels.For more information, visit www.systrangroup.com

Today’s Neuroscience, Tomorrow’s History – Professor Elizabeth Warrington

  • Publisher: Professor Elizabeth Warrington
  • Total Episodes: 34

Supported by a Wellcome Trust Public Engagement grant (2006-2008) in the History of Medicine to Professor Tilli Tansey (QMUL) and Professor Leslie Iversen (Oxford), the History of Modern Biomedicine Research Group at Queen Mary, University of London presents a series of podcasts on the history of neuroscience featuring eminent people in the field: Professor Elizabeth Warrington completed her PhD on visual processing at the Institute of Neurology, London, and was formerly head of the Department of Neuropsychology at The National Hospital for Neurology and Neurosurgery, Queen Square. Her research has focused on understanding, in the broadest terms, brain and behaviour relationships, and, in particular, the neural basis of our cognitive abilities — how our neural networks enable us to see, perceive, remember and talk about things. Understanding how these networks are organised helps in diagnosing and assessing many different kinds of brain injury. Her work has also been influential in testing theories about cognitive psychology. Professor Warrington has played a key role in improving the accuracy of tests to diagnose and help chart the progress of degenerative brain conditions that affect the way we perceive, talk or think about things. Her work in defining differences in how we remember information based on knowledge (semantic memory) as opposed to events (episodic memory) led to the identification of a new neurological condition, semantic dementia, which she first described in 1975. Semantic dementia is a progressive neurodegenerative disorder, the most common presenting symptom being loss of word meaning. Diagnosing brain damage has been an important part of Professor Warrington’ s work. Neuropsychological examinations use a patient’ s cognitive function to identify or rule out conditions such as strokes and conditions that lead to dementia, such as Alzheimers. The tests developed by her can also be used to track recovery, as well as to plan rehabilitation programmes. Professor Warrington is an emeritus professor of clinical neuropsychology at The National Hospital and a member of the Dementia Research Group.

Today’s Neuroscience, Tomorrow’s History: Professor Elizabeth Warrington – Audio

  • Publisher: UCL
  • Total Episodes: 17

Supported by a grant from the Wellcome Trust to Dr Tilli Tansey and Professor Leslie Iversen, the Wellcome Trust Centre for the History of Medicine at UCL presents a series of podcasts on the history of neuroscience featuring eminent people in the field: Professor Elizabeth Warrington completed her PhD on visual processing at the Institute of Neurology, London, and was formerly head of the Department of Neuropsychology at The National Hospital for Neurology and Neurosurgery, Queen Square. Her research has focused on understanding, in the broadest terms, brain and behaviour relationships, and, in particular, the neural basis of our cognitive abilities — how our neural networks enable us to see, perceive, remember and talk about things. Understanding how these networks are organised helps in diagnosing and assessing many different kinds of brain injury. Her work has also been influential in testing theories about cognitive psychology. Professor Warrington has played a key role in improving the accuracy of tests to diagnose and help chart the progress of degenerative brain conditions that affect the way we perceive, talk or think about things. Her work in defining differences in how we remember information based on knowledge (semantic memory) as opposed to events (episodic memory) led to the identification of a new neurological condition, semantic dementia, which she first described in 1975. Semantic dementia is a progressive neurodegenerative disorder, the most common presenting symptom being loss of word meaning. Diagnosing brain damage has been an important part of Professor Warrington’s work. Neuropsychological examinations use a patient’s cognitive function to identify or rule out conditions such as strokes and conditions that lead to dementia, such as Alzheimers. The tests developed by her can also be used to track recovery, as well as to plan rehabilitation programmes. Professor Warrington is an emeritus professor of clinical neuropsychology at The National Hospital and a member of the Dementia Research Group.

CAST11 – Be curious.

  • Publisher: Talking Glass Media, LLC
  • Total Episodes: 160

Neural news to local interviews & conversations, CAST11 is a part of the Talking Glass Media (TGM) network of Prescott Valley, AZ. Be curious.

Convolutional Neural Networks

  • Publisher: Brandon Sanchez
  • Total Episodes: 1

In deep learning, a convolutional neural network is a class of deep neural networks, most commonly applied to analyzing visual imagery. They are also known as shift invariant or space invariant artificial neural networks, based on their shared-weights architecture and translation invariance characteristics.

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