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Best Artificial Intelligence Podcasts We Could Find
Best Artificial Intelligence Podcasts We Could Find
With the rise of artificial intelligence in use today including applications like Siri, Alexa, Tesla, Cortana, Cogito, Google Now, and even Netflix, podcasts are a great alternative to keep yourself updated. We've gathered a list of podcasts available for you about this technology where you can get the latest news and trends plus learn more about how AI works and its impact on our lives.
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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, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
 
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, de ...
 
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 n ...
 
Welcome! We at MLST are inspired by scientists and each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is ridiculously technical and we believe strongly in diversity of thought in AI, covering all the main ideas in the field, avoiding hype where possible. MLST is run by Dr. Tim Scarfe and Dr. Keith Duggar, and with regular appearances from Dr. Yannic Kilcher.
 
On the Mind Matters podcast, Discovery Institute’s Walter Bradley Center for Natural and Artificial Intelligence considers the implications and misconceptions, the opportunities and limitations, and the applications and challenges presented by intelligent agents and their algorithms.
 
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
 
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NLP Highlights

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NLP Highlights

Allen Institute for Artificial Intelligence

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. The hosts are the members of the AllenNLP team at Allen Institute for AI. All views expressed belong to the hosts and guests and do not represent their employers.
 
TalkRL podcast is All Reinforcement Learning, All the Time. In-depth interviews with brilliant people at the forefront of RL research and practice. Guests from places like MILA, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute. Hosted by Robin Ranjit Singh Chauhan. Technical content.
 
AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor. This podcast is produced by NVIDIA, the AI computing company. Multiple episodes are released every month.
 
AI with AI explores the latest breakthroughs in artificial intelligence and autonomy, and discusses the technological and military implications. Join Andy Ilachinski and David Broyles as they explain the latest developments in this rapidly evolving field. The views expressed here are those of the commentators and do not necessarily reflect the views of CNA or any of its sponsors.
 
Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.
 
Roboism is a show mostly about robots. We are exploring how artificial intelligence, machine learning, and digital assistants are affecting our culture. Come explore the humanity behind the bots that are quickly becoming a part of every day life. Hosted by Kathy Campbell and Alex Cox.
 
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption. Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1
 
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
 
Get the inside story of how AI is being created and uncover the extraordinary ways artificial intelligence (AI) is transforming our world. In the highly-praised, award-nominated "DeepMind: The Podcast", mathematician and broadcaster Hannah Fry goes behind the scenes of world-leading research lab DeepMind to find out how AI can benefit our lives and the society we live in. The first season explores the link between neuroscience and AI, the importance of games, and building safe AI. Now in its ...
 
Unlock the business value of AI in financial services with in-depth interviews on trends, use-cases, and cutting-edge best practices. In each episode, Emerj Founder Daniel Faggella interviews leaders at firms like HSBC, Citigroup, and Visa - as well as AI innovators from Silicon Valley and around the world. Subscribe to Emerj's weekly AI newsletter by downloading our "AI in Financial Services Cheat Sheet" PDF guide: https://emerj.com/fin1
 
In each episode of The Robot Brains podcast, renowned artificial intelligence researcher, professor and entrepreneur Pieter Abbeel meets the brilliant minds attempting to build robots with brains. Pieter is joined by leading experts in AI Robotics from all over the world as he explores how far humanity has come in its mission to create conscious computers, mindful machines and rational robots. Host: Pieter Abbeel | Executive Producers: Alice Patel & Henry Tobias Jones | Audio Production: Kie ...
 
Every weekday, TED Talks Daily brings you the latest talks in audio. Join host and journalist Elise Hu for thought-provoking ideas on every subject imaginable — from Artificial Intelligence to Zoology, and everything in between — given by the world's leading thinkers and creators. With TED Talks Daily, find some space in your day to change your perspectives, ignite your curiosity, and learn something new.
 
Al: Innovation or Destruction? In this sci-fi podcast based on the groundbreaking interactive series Artificial, our hosts delve into the world of Sophie, an artificial intelligence being on a journey to become human, in attempts to illuminate the dangers and benefits of AI while looking at how to ethically treat and develop our new sentient friends. We invite you to join the conversation and weigh in on the ultimate question: Will Al prove to be good for the world... or will it lead to our ...
 
Every weekday, TED Talks Daily brings you the latest talks in audio. Join host and journalist Elise Hu for thought-provoking ideas on every subject imaginable — from Artificial Intelligence to Zoology, and everything in between — given by the world's leading thinkers and creators. With TED Talks Daily, find some space in your day to change your perspectives, ignite your curiosity, and learn something new.
 
David Yakobovitch explores AI for consumers through fireside conversations with industry thought leaders on HumAIn. From Chief Data Scientists and AI Advisors, to Leaders who advance AI for All, the HumAIn Podcast is the channel to release new AI products, to learn about industry trends, and to bridge the gap between humans and machines in the Fourth Industrial Revolution.
 
The team at MMC go 'Beyond the Hype' with the world’s leading AI technologists, entrepreneurs and corporate executives that are transforming today's industries. This podcast is produced by MMC Ventures, the research-led venture capital firm investing in early-stage technology companies. Visit mmc.vc for more details or find us on Twitter @MMC_Ventures.
 
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Learning Machines 101

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Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that wil ...
 
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
 
BRIDGEi2i’s signature podcast “AI to Impact” covers everything about Digital and AI. Featuring some remarkable thought leadership, expert points of view, and commentaries from a gamut of industry leaders, this is a definitive guide for Making AI Real. Put on your headphones and join us on this insightful journey of AI-powered Transformation.You can also listen to our podcast on below channels-Spotify link: https://spoti.fi/2TiJLRfApple link: https://apple.co/3cI0pkUGoogle link: https://bit.l ...
 
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Andy and Dave discuss the latest in AI news and research, starting with the European Parliament adopting the final recommendations of the Special Committee on AI in a Digital Age (AIDA), finding that the EU should not always regulate AI as a technology, but use intervention proportionate to the type of risk, among other recommendations [1:31]. Sync…
 
Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. Is the next AI Winter approaching? In this episode of the…
 
Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, and of course, the infamous diagram. D. has recently translated the idea of technical debt into data debt, something we spen…
 
Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu CordAbstractStandard neural networks struggle to generalize under distribution shifts. For out-of-distribution generalization in computer vision, the best current approach averages the weights along a training run. In this paper, we propose Diverse…
 
Early in his career, IEEE fellow and retired National Science Foundation program director Paul Werbos developed the neural network training algorithm known as error backpropagation, which has been foundational to the vast majority of today’s advances in artificial intelligence. Listen in as he discusses his work in this area and other topics, inclu…
 
Bobby Lee is a comedian and co-host of TigerBelly and Bad Friends podcasts. Please support this podcast by checking out our sponsors: – Brave: https://brave.com/lex – GiveWell: https://www.givewell.org/ and use code LEX – Linode: https://linode.com/lex to get $100 free credit – Onnit: https://lexfridman.com/onnit to get up to 10% off – Indeed: http…
 
Pain is central to every specialty, and we all played a part in the opioid crisis, says Dr Haider Warraich, author of The Song of Our Scars: The Untold Story of Pain. This podcast is intended for US healthcare professionals only. To read a full transcript of this episode or to comment please visit: https://www.medscape.com/features/public/machine E…
 
Today’s guest is Ian Wilson, Managing Director at Strategy 4 AI, a strategy and consulting firm based in Cambridge in the UK. He discusses two crucial topics in this particular episode. First, where can AI actually step in, interact with a customer, and not make it worse but potentially improve? Ian talks about some of those use-cases and how to id…
 
Computers and artificial intelligence are restricted to being algorithmic. If something is non-algorithmic, it is not computable. Creativity, nuance, and insight are human characteristics that are non-algorithmic. What happens if you remove those human characteristics from the practice of medicine? Robert J. Marks and Dr. Richard Hurley discuss how…
 
In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, about opportunities for the NLP community to contribute to Sign Language Processing (SLP). We talked about history and misconceptions about sign languages, high-level similarities and differences between …
 
Shruthi Hariharan, Vignesh Kumar Krishnamurthy, Utkarsh, Jayantha Gowda SarapanahalliAbstractRecent joint intent detection and slot tagging models have seen improved performance when compared to individual models. In many real-world datasets, the slot labels and values have a strong correlation with their intent labels. In such cases, the intent la…
 
Eric Chalmers and Artur LuczakAbstractDevelopments in reinforcement learning (RL) have allowed algorithms to achieve impressive performance in highly complex, but largely static problems. In contrast, biological learning seems to value efficiency of adaptation to a constantly-changing world. Here we build on a recently-proposed neuronal learning ru…
 
Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, Fiona Ryan, Justin Krogue, Mozziyar Ete…
 
Antonia Creswell, Murray Shanahan and Irina HigginsAbstractLarge language models (LLMs) have been shown to be capable of impressive few-shot generalisation to new tasks. However, they still tend to perform poorly on multi-step logical reasoning problems. Here we carry out a comprehensive evaluation of LLMs on 50 tasks that probe different aspects o…
 
Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor DarrellAbstractNatural language applied to natural 2D images describes a fundamentally 3D world. We present the Voxel-informed Language Grounder (VLG), a language grounding model that leverages 3D geometric information in the form of voxel maps derived from the visual input using a volumetric reconstru…
 
Siddharth S. Nijhawan and Homayoon BeigiAbstractMajority of speech signals across different scenarios are never available with well-defined audio segments containing only a single speaker. A typical conversation between two speakers consists of segments where their voices overlap, interrupt each other or halt their speech in between multiple senten…
 
Yoshinari Motokawa and Toshiharu SugawaraAbstractIn multi-agent systems, noise reduction techniques are important for improving the overall system reliability as agents are required to rely on limited environmental information to develop cooperative and coordinated behaviors with the surrounding agents. However, previous studies have often applied …
 
Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira NushiAbstractDetails of the designs and mechanisms in support of human-AI collaboration must be considered in the real-world fielding of AI technologies. A critical aspect of interaction design for AI-as…
 
Karim El Haff, Mustafa Jarrar, Tymaa Hammouda, Fadi ZaraketAbstractThe processing of the Arabic language is a complex field of research. This is due to many factors, including the complex and rich morphology of Arabic, its high degree of ambiguity, and the presence of several regional varieties that need to be processed while taking into account th…
 
Moustafa Al-Hajj, Mustafa JarrarAbstractUsing pre-trained transformer models such as BERT has proven to be effective in many NLP tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense Disambiguation (WSD). We treated the WSD task as a sentence-pair binary classification task. First, we constructed a dataset of labeled Ar…
 
Adri\'an In\'es, Andr\'es D\'iaz-Pinto, C\'esar Dom\'inguez, J\'onathan Heras, Eloy Mata and Vico PascualAbstractThe development of mobile and on the edge applications that embed deep convolutional neural models has the potential to revolutionise biomedicine. However, most deep learning models require computational resources that are not available …
 
Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Dacheng TaoAbstractExisting trackers usually select a location or proposal with the maximum score as tracking result for each frame. However, such greedy search scheme maybe not the optimal choice, especially when encountering challenging tracking scenarios like heavy occlusions and fast motion. Since the acc…
 
Y.R. Syau, E.B. Lin, and C.J. LiauAbstractUsing the concepts of category and functor, we provide some insights and prove an intrinsic property of the category ${\bf AprS}$ of approximation spaces and relation-preserving functions, the category ${\bf RCls}$ of rough closure spaces and continuous functions, and the category ${\bf RInt}$ of rough inte…
 
Adam M. Terwilliger, Joshua E. SiegelAbstractIn a world increasingly dependent on road-based transportation, it is essential to understand vehicles. We introduce the AI mechanic, an acoustic vehicle characterization deep learning system, as an integrated approach using sound captured from mobile devices to enhance transparency and understanding of …
 
Mustafa JarrarAbstractWe present a formal Arabic wordnet built on the basis of a carefully designed ontology hereby referred to as the Arabic Ontology. The ontology provides a formal representation of the concepts that the Arabic terms convey, and its content was built with ontological analysis in mind, and benchmarked to scientific advances and ri…
 
Mustafa Jarrar, Mohammed Khalilia, Sana GhanemAbstractThis paper presents Wojood, a corpus for Arabic nested Named Entity Recognition (NER). Nested entities occur when one entity mention is embedded inside another entity mention. Wojood consists of about 550K Modern Standard Arabic (MSA) and dialect tokens that are manually annotated with 21 entity…
 
Pierre Sevestre, Marine NeyretAbstractThe growing popularity of Graph Representation Learning (GRL) methods has resulted in the development of a large number of models applied to a miscellany of domains. Behind this diversity of domains, there is a strong heterogeneity of graphs, making it difficult to estimate the expected performance of a model o…
 
Joseph McDonald, Baolin Li, Nathan Frey, Devesh Tiwari, Vijay Gadepally, Siddharth SamsiAbstractThe energy requirements of current natural language processing models continue to grow at a rapid, unsustainable pace. Recent works highlighting this problem conclude there is an urgent need for methods that reduce the energy needs of NLP and machine lea…
 
Ludwig Bothmann, Kristina Peters, Bernd BischlAbstractA growing body of literature in fairness-aware ML (fairML) aspires to mitigate machine learning (ML)-related unfairness in automated decision making (ADM) by defining metrics that measure fairness of an ML model and by proposing methods that ensure that trained ML models achieve low values in th…
 
Nico Potyka, Xiang Yin, Francesca ToniAbstractThere is broad agreement in the literature that explanation methods should be faithful to the model that they explain, but faithfulness remains a rather vague term. We revisit faithfulness in the context of continuous data and propose two formal definitions of faithfulness for feature attribution method…
 
Adri\'an In\'es, C\'esar Dom\'inguez, J\'onathan Heras, Gadea Mata and Julio RubioAbstractNowadays, Machine Learning and Deep Learning methods have become the state-of-the-art approach to solve data classification tasks. In order to use those methods, it is necessary to acquire and label a considerable amount of data; however, this is not straightf…
 
The old tech adage goes that you should move fast and break things, but moving fast could mean you could be leaving some of your users behind. According to our guest, the way we do design today is “broken.” On this episode of the Georgian Impact Podcast, we talk to Alwar Pillai, the CEO of Fable, a leading accessibility platform powered by people w…
 
Dora Jambor and Dzmitry BahdanauAbstractSemantic parsing is the task of producing structured meaning representations for natural language sentences. Recent research has pointed out that the commonly-used sequence-to-sequence (seq2seq) semantic parsers struggle to generalize systematically, i.e. to handle examples that require recombining known know…
 
In times of uncertainty, leaders have a responsibility to inspire hope. Sharing hard-won wisdom, business leader Ken Chenault talks about what it takes to enact positive, enduring change -- and why it's more important than ever to invest in responsible innovation that uplifts people and centers equality and fairness.…
 
Frida Heskebeck, Carolina Bergeling, Bo BernhardssonAbstractThe multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in many procedures of Brain-Computer Interfaces (BCIs) and MAB has previously been used to i…
 
Christian Alrabbaa, Franz Baader, Stefan Borgwardt, Raimund Dachselt, Patrick Koopmann, Juli\'an M\'endezAbstractExplanations for description logic (DL) entailments provide important support for the maintenance of large ontologies. The "justifications" usually employed for this purpose in ontology editors pinpoint the parts of the ontology responsi…
 
Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao GeAbstractUsing deep learning models to recognize functional brain networks (FBNs) in functional magnetic resonance imaging (fMRI) has been attracting increasing interest recently. However, most existing work focuses on detecting static FBNs fr…
 
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