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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 ...
 
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.
 
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 ...
 
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.
 
Intelligence Squared is the world’s leading forum for debate and intelligent discussion. Live and online we take you to the heart of the issues that matter, in the company of some of the world’s sharpest minds and most exciting orators. Join the debate at www.intelligencesquared.com and download our podcasts every Monday, Wednesday, Friday and Sunday.
 
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 ...
 
America feels divided. From the most salient questions about our national identity and place in the world, to fundamental concerns about technology, religion, the economy, and public policy, Intelligence Squared U.S. is here to help. A respite from polarized discussions, we bring together the smartest minds to debate and dissect issues in depth, restoring civility and bringing intelligence to the public square in the process.
 
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.
 
Former acting Director of the CIA Michael Morell speaks with top leaders of the U.S. intelligence community as they reflect on their life, career and the critical roles they play in shaping national security policies. As a central figure in the most significant U.S. counter-terror efforts of the past two decades and a former CIA intelligence analyst, Morell is uniquely skilled at taking industry leading knowledge to make connections that provide deep insight into complex security events – he ...
 
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 ...
 
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 ...
 
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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…
 
North Korea’s zero-covid strategy appears to have failed. The country has officially acknowledged 162 cases; the true number is probably orders of magnitude more. The country’s health-care system is inadequate, and pre-existing conditions such as tuberculosis and malnutrition are rampant. With elections impending in Turkey, politicians have begun c…
 
Afghan women’s voices are at increasing risk of being silenced and as more of their rights slip away, so do their stories. In this episode we hear from three women from the UNTOLD writers programme, who are the co-creators of My Pen is the Wing of a Bird, a new anthology of Afghan women's fiction. Lucy Hannah is founder of UNTOLD, Zarghuna Kargaar …
 
In this episode of Intelligence Matters, host Michael Morell speaks with former senior CIA operations officer and Moscow station chief Rolf Mowatt-Larssen about the likely trajectory of the war in Ukraine, including the possibility of a negotiated peace -- or dangerous escalation. Mowatt-Larssen offers insights on Putin's options, potential rifts a…
 
Zhan Yu, Hongshun Yao, Mujin Li, Xin WangAbstractQuantum neural networks (QNNs) have emerged as a leading strategy to establish applications in machine learning, chemistry, and optimization. While the applications of QNN have been widely investigated, its theoretical foundation remains less understood. In this paper, we formulate a theoretical fram…
 
In this week’s Bloomberg podcast, Bloomberg Intelligence analysts discuss the findings and impact of their research: Fed 50-Bp Hikes Replacing 25 Bps as `Normal' Policy-Rate Moves -- Ira Jersey Think OPEC+ Can Ease Oil-Market Angst? Think Again -- Salih Yilmaz Industrial REITs Standing Ground vs. Rival Rebound, and U.K. Logistics Park Joyride Stall…
 
In a modern-day battle of David and Goliath on Wall Street, thousands of amateur retail investors banded together to bid up stocks in a handful of failing companies, most notably the nostalgic video game hub known as GameStop. Within days, the renegade traders sent stocks soaring and dealt heavy blows to hedge funds and other traditional profession…
 
Andy and Dave discuss the latest in AI news and search, including a report from the Government Accountability Office, recommending that the Department of Defense should improve its AI strategies and other AI-related guidance [1:25]. Another GAO report finds that the Navy should improve its approach to uncrewed maritime systems, particularly in its …
 
Today’s guest is Ed d’Archimbaud, Co-Founder and CTO of Kili Technology, based in Paris, France. He has previously worked with large financial institutions such as BNP Paribas, which he speaks about in this episode. We focus on two main topics in this episode: first, we discuss some paperwork-heavy workflows tied to compliance and how AI can provid…
 
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…
 
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 …
 
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…
 
Five American states held primary elections yesterday. The most important were in Pennsylvania, where a Trump-backed candidate won the Republican gubernatorial primary. The Republican senate race remains too close to call. Wide-area motion imaging is a surveillance technique developed by the military in Iraq but now creeping into the civilian world…
 
As we all re-entered society over the last year, after months of WFH sweatpants and t-shirts, a personal stylist would have been helpful. Well, now there’s AI for that - THE YES. By taking a quick style quiz, you’ll have daily product and brand recommendations and a personalized feed displaying exactly what you’re looking for — in your size, budget…
 
Today’s episode is part of our new sponsored series called “AI is Here,” where we will speak with AI experts across industries and ask them where AI is impacting their industry today and what that means for the future. In this first episode, we’re exploring the energy sector by speaking to an AI expert at one of the world’s largest energy firms: Sh…
 
Oliver Stone is a filmmaker with 3 Oscar wins and 11 Oscar nominations. His films include Platoon, Wall Street, Born on the Fourth of July, Scarface, JFK, Nixon, Alexander, W, Snowden, and documentaries where he has interviewed Fidel Castro, Hugo Chavez, and Vladimir Putin. Please support this podcast by checking out our sponsors: – Novo: https://n…
 
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low re…
 
Support the show to get full episodes and join the Discord community. Check out my short video series about what's missing in AI and Neuroscience. Michel Bitbol is Director of Research at CNRS (Centre National de la Recherche Scientifique). Alex Gomez-Marin is a neuroscientist running his lab, The Behavior of Organisms Laboratory, at the Instituto …
 
Stablecoins are essential to the financial plumbing of the cryptocurrency world. They’re pegged to a real-world asset, usually the dollar. But when that peg breaks, things can turn ugly in a hurry. Much of India is suffering through a particularly blistering and costly heatwave. And Indonesians’ love of songbirds is threatening wild bird population…
 
Author and environmental journalist Eugene Linden's new book, Fire and Flood: A People’s History of Climate Change from 1979 to the Present, lays out how successive US governments managed to delay action on climate change when they should have been raising the alarm. It also looks at why the climate emergency will have a big impact on the global ec…
 
Luke Melas-Kyriazi and Christian Rupprecht and Iro Laina and Andrea VedaldiAbstractUnsupervised localization and segmentation are long-standing computer vision challenges that involve decomposing an image into semantically-meaningful segments without any labeled data. These tasks are particularly interesting in an unsupervised setting due to the di…
 
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron CourvilleAbstractThis work identifies a common flaw of deep reinforcement learning (RL) algorithms: a tendency to rely on early interactions and ignore useful evidence encountered later. Because of training on progressively growing datasets, deep RL agents incur a risk of over…
 
Le Cong Dinh, Yaodong Yang, Stephen McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun WangAbstractSolving strategic games with huge action space is a critical yet under-explored topic in economics, operations research and artificial intelligence. This paper proposes new learning algorithms for sol…
 
Xiaoting Shao, Kristian KerstingAbstractCounterfactual examples are an appealing class of post-hoc explanations for machine learning models. Given input $x$ of class $y_1$, its counterfactual is a contrastive example $x^\prime$ of another class $y_0$. Current approaches primarily solve this task by a complex optimization: define an objective functi…
 
Hanrui Zhang, Yu Cheng, Vincent ConitzerAbstractWe consider the problem of planning with participation constraints introduced in [Zhang et al., 2022]. In this problem, a principal chooses actions in a Markov decision process, resulting in separate utilities for the principal and the agent. However, the agent can and will choose to end the process w…
 
Today we’re joined by Rob Walker, VP of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ML in the context of customer engagement and decisioning, the various problems that need to be solved, including solving…
 
Mikael Brunila and Jack LaVioletteAbstractThe power of word embeddings is attributed to the linguistic theory that similar words will appear in similar contexts. This idea is specifically invoked by noting that "you shall know a word by the company it keeps," a quote from British linguist J.R. Firth who, along with his American colleague Zellig Har…
 
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, and Jiayu ZhouAbstractReinforcement learning is a learning paradigm for solving sequential decision-making problems. Recent years have witnessed remarkable progress in reinforcement learning upon the fast development of deep neural networks. Along with the promising prospects of reinforcement learning in nu…
 
Maurice Jakesch, Zana Bu\c{c}inca, Saleema Amershi, Alexandra OlteanuAbstractPrivate companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies. While their recommendations converge on a set of central values, little is known about the values …
 
Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth LloydAbstractQuantifying how far the output of a learning algorithm is from its target is an essential task in machine learning. However, in quantum settings, the loss landscapes of commonly used distance metrics often produce undesirable outcomes such as poor local minima and ex…
 
Tiexin Qin and Shiqi Wang and Haoliang LiAbstractDomain generalization aims to improve the generalization capability of machine learning systems to out-of-distribution (OOD) data. Existing domain generalization techniques embark upon stationary and discrete environments to tackle the generalization issue caused by OOD data. However, many real-world…
 
Marin Vlastelica, Patrick Ernst, Gyuri SzarvasAbstractUtilizing amortized variational inference for latent-action reinforcement learning (RL) has been shown to be an effective approach in Task-oriented Dialogue (ToD) systems for optimizing dialogue success. Until now, categorical posteriors have been argued to be one of the main drivers of performa…
 
Andr\'e Artelt, Roel Visser, Barbara HammerAbstractThe application of machine learning based decision making systems in safety critical areas requires reliable high certainty predictions. Reject options are a common way of ensuring a sufficiently high certainty of predictions made by the system. While being able to reject uncertain samples is impor…
 
Mark Anderson and Jose Camacho-ColladosAbstractThe increase in performance in NLP due to the prevalence of distributional models and deep learning has brought with it a reciprocal decrease in interpretability. This has spurred a focus on what neural networks learn about natural language with less of a focus on how. Some work has focused on the data…
 
Nicola Milano and Stefano NolfiAbstractIn this paper we analyze the qualitative differences between evolutionary strategies and reinforcement learning algorithms by focusing on two popular state-of-the-art algorithms: the OpenAI-ES evolutionary strategy and the Proximal Policy Optimization (PPO) reinforcement learning algorithm -- the most similar …
 
Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano SantucciAbstractAutonomous open-ended learning is a relevant approach in machine learning and robotics, allowing the design of artificial agents able to acquire goals and motor skills without the necessity of user assigned tasks. A crucial issue for this approach is to develop …
 
Neither Finland nor Sweden ever joined NATO, the Western military alliance formed in 1949: Finland for pragmatic reasons and Sweden for ideological ones. But Russia’s invasion of Ukraine has prompted both to change course. Facebook’s appeal is waning – to both users and investors. And for the first time, a telescope has captured images of the black…
 
Thomas Eiter, Nelson Higuera, Johannes Oetsch, and Michael PritzAbstractWe present a neuro-symbolic visual question answering (VQA) pipeline for CLEVR, which is a well-known dataset that consists of pictures showing scenes with objects and questions related to them. Our pipeline covers (i) training neural networks for object classification and boun…
 
Ana\"is Tack and Chris PiechAbstractHow can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedago…
 
Mohammed M. S. El-Kholany, Martin Gebser and Konstantin SchekotihinAbstractThe Job-shop Scheduling Problem (JSP) is a well-known and challenging combinatorial optimization problem in which tasks sharing a machine are to be arranged in a sequence such that encompassing jobs can be completed as early as possible. In this paper, we propose problem dec…
 
Dongjie Yu, Haitong Ma, Shengbo Eben Li, Jianyu ChenAbstractConstrained Reinforcement Learning (CRL) has gained significant interest recently, since the satisfaction of safety constraints is critical for real world problems. However, existing CRL methods constraining discounted cumulative costs generally lack rigorous definition and guarantee of sa…
 
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