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Curator, writer and founder of Artlicks Holly Willats talks about collecting and collectors with artist Bridgette Ashton.
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
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 ...
Abstracts of latest research papers in Artificial Intelligence
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AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Real-World, Industry and Adoption focused Market Research and Intelligence on AI.
Artificial Chaos is hosted by Morgan and Holly. We discuss technology, cybersecurity, cloud computing, and more.
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Intelligenza Artificiale Spiegata Semplice
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Intelligenza Artificiale Spiegata Semplice
Giacinto Fiore e Pasquale Viscanti
L’Intelligenza Artificiale Spiegata Semplice è un progetto di divulgazione e formazione di Pasquale Viscanti e Giacinto Fiore che guida Manager, Imprenditori, Studenti ed appassionati di nuove tecnologie alla scoperta dell’Intelligenza Artificiale attraverso le sue applicazioni utili a migliorare le nostre vite e le nostre aziende. Il tutto grazie ad un Podcast ogni lunedì, una Community di managers e agli eventi “AI Week Italia”. iscriviti subito a www.aiplay.it
Exerpts from artificialeyes.tv's live video work.
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AI with AI: Artificial Intelligence with Andy Ilachinski
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.
Greg Wisniewski, Joshua Howsam and occasional guests from around the baseball World talk about everything you want to know about the Blue Jays and noteworthy developments in the game, with a little bit of added fun.
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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Felipe Flores
Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
ARTGHOST is a music podcast with a twist. Hosts Jupiter Morningstar (she/fae) and Joe Langlois (he/him) challenge each other to find songs based on increasingly ridiculous themes to uncover the deepest cuts in music they can. After, they spin the WHEEL OF DISCORD and are forced to talk about a random song from their library! Website: www.mushroomstation.net Twitter: @mushroompods Patreon: www.patreon.com/mushroomstation
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人工智慧醫學組織 Artificial Intelligence Medicine AIM
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人工智慧醫學組織 Artificial Intelligence Medicine AIM
北醫大人工智慧醫學組織
透過世界各地的學界、業界、醫界、新創產業的前輩經驗分享或未來新知，得到自己學習的目標與生職涯規劃相關建議，以了解人工智慧的浪潮 -- Hosting provided by SoundOn
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The Artificial Tango: A Star Trek Picard Podcast
Formerly known as The Line, this podcast follows the story of Jean-Luc Picard, one of Starfleet’s most beloved and decorated figures, and the many faces—familiar and new—who surround him in the early 25th century. Join hosts C Bryan Jones and Matthew Rushing for discussion of each new episode as Season 2 and the fight to save the future unfolds.
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Conversations on Applied AI - Stories from Experts in Artificial Intelligence
Welcome to the Conversations on Applied AI Podcast where Justin Grammens and the team at Emerging Technologies North talk with experts in the fields of Artificial Intelligence and Deep Learning. In each episode, we cut through the hype and dive into how these technologies are being applied to real-world problems today. We hope that you find this episode educational and applicable to your industry and connect with us to learn more about our organization at AppliedAI.MN. Enjoy!
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AI and Us - what Artificial Intelligence means for our lives
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AI and Us - what Artificial Intelligence means for our lives
Alexander von Humboldt Foundation
Artificial intelligence is already controlling washing machines and translation assistants and helping doctors reach a diagnosis. It is changing our working lives and our leisure time. AI is making our lives easier and, ideally, even better! AI raises expectations, fears and hopes. And it involves risks. It’s all about personal autonomy and freedom, about security as well as sustainability and even global equity. AI between a promising future and a brave new world. Leading AI experts talk ab ...
vj blogthe world in vj vision
Un programa que desafía la inteligencia, o no. Hablamos de todo tipo de contenido friki / geek, como por ejemplo cine, videojuegos, juegos de mesa, la entropía demográfica en el sur del Sudán, el Procés, etc.
El podcast donde hablamos del presente y el futuro de la inteligencia artificial. Analizamos casos donde ya se están usando estas tecnologías y vemos cómo podemos aplicarlo en nuestros trabajos, proyectos o empresas.
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Artificially Intelligent Podcast
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Artificially Intelligent Podcast
Artificially Intelligent Podcast
Hosts Joe and Zeb discuss artificial intelligence and review pop culture that features it such as Westworld, Black Mirror, and other TV shows, movies, comic books, and more!
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Artificial Intelligence II 2018 (QHD 1920 - Video & Folien)
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Artificial Intelligence II 2018 (QHD 1920 - Video & Folien)
Prof. Dr. Michael Kohlhase
This course covers the foundations of Artificial Intelligence (AI), in particular reasoning under uncertainty, machine learning and (if there is time) natural language understanding. This course builds on the course Artificial Intelligence I from the preceding winter semester and continues it Learning Goals and Competencies Technical, Learning, and Method Competencies Knowledge: The students learn foundational representations and algorithms in AI. Application: The concepts learned are applie ...
Artificial Ignorance Podcast! The new voice of the generation. Talking about all the new current hot topics and bringing up the new age of superstars leaders of the free world
Your Unofficial Guide To The Airwaves. Artificial Ghost Radio is a music review and discussion comedy show.
Love to drink coke. Can’t no more. Need to find a replacement. Trying various options and providing my reviews.
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Artificial Intelligence and Product Strategy podcast.
Follow my podcasts to learn how successful companies launch Artificial Intelligence-driven products and implement product strategy. You will find a vast number of robust case studies, insights, and manuals.
Im Podcast "Artificial Adventures" dreht sich alles um Tim und seine Abenteuer. Aber die Abenteuer sind keine normalen Abenteuer, sondern Geschichten, die von einer künstlichen Intelligenz (GPT-3) ohne menschliches Zutun geschrieben wurden. Nichts hier ist von Menschenhand gemacht. Außer natürlich das Voiceover und der erste Satz der Geschichte. Wenn Sie sich für so etwas interessieren, bleiben Sie dran und folgen Sie Tim bei seinen Abenteuern in verschiedenen Dimensionen und Zeitlinien.
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DataClub: Intelligenza Artificiale e Data Science
Primo podcast italiano su Data Science, Intelligenza Artificiale e tutto quanto riguardo il mondo del lavoro nell’industria Tech. Sono un Data Scientist che esercita la professione in Canada, e condivido con voi la mia esperienza nel mondo dell'Intelligenza Artificiale in giro per il mondo! Buon Ascolto!
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 ...
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Courageous! Artificial Intelligence & Cybersecurity Think Tank with Dr. Rollan Roberts
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Courageous! Artificial Intelligence & Cybersecurity Think Tank with Dr. Rollan Roberts
Dr. Rollan Roberts II
Dr. Rollan Roberts is an advisor and resource to national governments on strong Artificial Intelligence and quantum-proof Cybersecurity and was nominated to Central Command's Department of Defense Civilian Task Force. He is the CEO of Courageous!, a superhuman AI and Cybersecurity research and product development think tank that serves advanced national security initiatives of national governments. He served as CEO of the Hoverboard company, creating the best-selling consumer product worldwi ...
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Data Coffee | Inteligencia Artificial (DotCSV)
Audios de la sección Data Coffees del canal de Youtube sobre Inteligencia Artificial, DotCSV. Un Data Coffee es un rato en el que comparto con ustedes un café y un tema interesante sobre Inteligencia Artificial a desarrollar. Ya sean las últimas noticias, explicar algún algoritmo o tratar algún artículo de opinión. ¡Si eres un interesado del mundo de la Inteligencia Artificial y el Machine Learning, te invito a tomarte un café conmigo!
The place where we discuss AI and its impact on business and economics.
Bienvenidos al año 2134. La tierra ya no es lo que era. Las grandes corporaciones dirigen ahora los distritos de un mundo totalmente globalizado sin fronteras. Gracias a la tecnología los viajes en el tiempo son posibles, conversar con animales esta a la orden del día, los robots deambulan libremente por las calles como nuevos ciudadanos. El olor a decadencia inunda nuestro mundo. Pero desde el Distrito Ibérico llega.. "DESINTELIGENCIA ARTIFICIAL" el mejor programa para escuchar en sus trans ...
Presented by podcast network VoiceFirst.FM, Artificial Intelligence is a monthly show devoted to all things A.I. Hosted by Bradley Metrock, CEO of Score Publishing and host of VoiceFirst.FM shows "This Week In Voice" and "The VoiceFirst Roundtable."
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Your Artificial Friends
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Your Artificial Friends
Andy Chanley, Sam Farmer, Josh Fleeger and Larry Morgan
How many of your friends did you inherit from your wife's Mommy and Me classes? When's the last time you chewed the fat with your ol' college buddies? We know -- and we're here when you need us... Your Artificial Friends. With Andy Chanley, Sam Farmer, Josh Fleeger and Larry Morgan.
As the world's first B2B AI platform, appliedAI helps organizations explore, plan and implement leading edge AI solutions in 100+ use cases along the enterprise value chain.
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Roborah - podcast made by Artificial Intelligence
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Roborah - podcast made by Artificial Intelligence
Ricky Vuckovic
A podcast that's scripted and voiced by artificial intelligence. Yep, no humans in the writing and delivery of this podcast!
The Artificial Podcast is a weekly podcast series that breaks down trending topics in the world of emerging technology. Our goal is to help everyone understand how emerging technologies like Artificial Intelligence, Voice, Blockchain, IoT, Robotics, Space Tech, and many more are impacting our lives each and every day. We also interview emerging technology leaders and experts from around the world who are actively working with these technologies to ensure that they help us make life better fo ...
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Artificial Intelligence Podcast with Dr. Tony Hoang
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Artificial Intelligence Podcast with Dr. Tony Hoang
Dr. Tony Hoang
Anything and everything that has to do with Artificial Intelligence, Machine Learning and Data Science
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HumAIn Podcast - Artificial Intelligence, Data Science, Developer Tools, and Technical Education
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HumAIn Podcast - Artificial Intelligence, Data Science, Developer Tools, and Technical Education
David Yakobovitch
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.
Get knowledge and inspiration to apply artificial intelligence to drug development. Discover startups applying machine learning to biomedical research. Hear how biotech and pharma companies use AI to speed discovery and cut costs. Learn from academic researchers pushing boundaries in applying computation to biology. We interview leaders transforming drug development with data and algorithms. Subscribe now and never miss an episode!
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AUTOMATION, RPA, ARTIFICIAL INTELLIGENCE, LEADERSHIP and all its interwinding overlaps...
Danilo McGarry is a prominent leader, coach and Keynote speaker in the topics of Automation (and all its related areas: Artificial Intelligence/RPA/Machine Learning/Neural Networks/Deep Learning/Transformation) - to read more about the creator of this space please visit www.danilomcgarry.com
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Artificial Intelligence on the Battlefield
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Artificial Intelligence on the Battlefield
Shephard Media
Artificial intelligence technologies are undoubtedly beginning to change the face of modern warfare. AI and machine learning applications promise to enhance productivity, reduce user workload, and operate more quickly than humans. But, this doesn’t come without its challenges. The Artificial Intelligence on the Battlefield podcast dives into these issues and more, looking at just how will AI reshape the future of warfare? Created by Shephard Studio, the Artificial Intelligence on the Battlef ...
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Talking Robots - The Podcast on Robotics and Artificial Intelligence
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Talking Robots - The Podcast on Robotics and Artificial Intelligence
Laboratory of Intelligent Systems
Talking Robots is a podcast featuring interviews with high-profile professionals in Robotics and Artificial Intelligence for an inside view on the science, technology, and business of intelligent robotics. It is managed and sponsored by the Laboratory of Intelligent Systems (LIS) at the EPFL in Lausanne, Switzerland.
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Dati, Intelligenza Artificiale e Formazione: Un Incontro Possibile
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Dati, Intelligenza Artificiale e Formazione: Un Incontro Possibile
Full Stack Data School
Dati, algoritmi e intelligenza artificiale stanno entrando sempre più nelle nostre vite, sia nella sfera privata che in quella lavorativa. Michele Barbera, Alberto Danese e Stefano Gatti, tre amici e data lovers, dalla diversa e complementare esperienza in questo mondo, ne discutono partendo dal presente e provando a tracciare evoluzioni future con particolare attenzione sul tema legato alla formazione.
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AI LITERACY - A Podcast about Artificial Intelligence
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AI LITERACY - A Podcast about Artificial Intelligence
AI LITERACY
Dive into the world of Artificial Intelligence with your host Anna-Regina Entus - founder and president of the AI in Management Association and fellow of the AI Research Center at emlyon business school in Paris. Together with guest speakers from around the globe, I am helping you make sense of AI and share insights on the latest innovations in the world of Artificial Intelligence. Episodes 1-6: Hosted by Anna-Regina Entus and Victoria Rugli from Episode 7: Hosted by Anna-Regina Entus
Join us on Beyond The Lab as we bring you authentic conversations discussing emerging technology, A.I. Ethics, careers, and resources to take your artificial intelligence journey to the next level.
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The Artificial Intelligence Podcast | BNR
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The Artificial Intelligence Podcast | BNR
BNR Nieuwsradio
AI in Real Life: machine learning, neural networks, deep learning. We’re on the threshold of something big. Join us as we explore what this means, not just for humanity in the future, but also for you and me, tomorrow.
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A Word On Artificial Intelligence (A.I.)
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A Word On Artificial Intelligence (A.I.)
Primedia Broadcasting
An introduction to machine learning to assist business leaders to understand what it can and can't do. In the three episodes, you will get a sense of the potential impact, the nature and types of models available and case studies that may apply to your industry. Allan Kent is the Head of Digital at Primedia Broadcasting and is the host of this series.
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Applied Artificial Intelligence For Business
TOPBOTS educates business leaders on high-impact applications of modern machine learning and AI techniques and helps leading organizations adopt and implement emerging technologies. We run the largest publication and community for enterprise AI professionals to learn about the latest machine learning and automation solutions and exchange insights with each other. Through education and community, we inspire you to think creatively about how AI can be used to improve lives, revolutionize indus ...
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Conversations on Applied AI - Stories from Experts in Artificial Intelligence
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Computer Vision and Learned Expectations
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The conversation this week is with Erik Beall. Erik is an imaging AI scientist and product developer. Eric is the CEO of Thermal Diagnostics, where he has developed the fever inspect a thermal imaging based product that helps keep us all safe by providing accurate, reliable and foolproof fever detection. He's also a computer vision scientist at Dig…
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Artificial Intelligence: Paper Time
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…
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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AI for Enterprise Decisioning at Scale with Rob Walker - #573
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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…
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Artificial Turf Wars
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ATW Episode 235: May Showers
50:30
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Greg and Nick go over the news and notes from a rough week in Toronto. They discuss Kevin Gausman's continued brilliance, Stripling and Berríos having some rough outings, Romano's first disaster save attempt, changes to the baseball, Santiago Espinal emerging as a top hitter on the team, Teoscar maybe back too soon and the pending returns of Hyun-J…
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AI and Us - what Artificial Intelligence means for our lives
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How is AI changing our lives?
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If AI is to be better utilised in medicine, the machines would have to be fed individual datasets. But especially with regard to health data, many people are hesitant. So, AI forces us to think about our relationship with data protection and with individuals’ rights. In Episode 10 of “AI and Us”, we also ask whether we can and should leave moral de…
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Artificial Chaos
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Lifestyles of the Rich & Famous [Money Laundering]
1:14:16
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In this episode we discuss the correct method for washing your currency. Referenced during the Pod https://www.bbc.co.uk/news/uk-50763204 https://monzo.com/blog/2018/06/28/ticketmaster-breach https://www.legislation.gov.uk/ukpga/2002/29/contents https://www.legislation.gov.uk/ukpga/2000/11/contents https://www.casino.org/blog/how-money-laundering-r…
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AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
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AI Today Podcast: Automation Roadmap Series: Level 3 Intelligent Automation
37:25
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Level 3 Intelligent Automation allows you to address the greatest challenges of unpredictability and variability and be able to achieve autonomous process discovery, autonomous process analytics, and autonomous process optimization. But is Level 3 Intelligent Automation right for your team or process? In this episode of the AI Today podcast hosts K…
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The Artificial Tango: A Star Trek Picard Podcast
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10: A Thread’s Pull Away
1:01:17
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“Farewell” As the Europa mission prepares to launch, Picard and the former crew of the La Sirena must race to prevent Adam Soong from changing their future. Meanwhile, Tallinn fulfills her ultimate mission of protecting Renée and a special guest appears in a park. The end of Q’s game arrives in a heartfelt closure to a relationship that spanned mor…
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 …
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ARTIFICIAL GHOST RADIO
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(-011), "Welcome to Earth"
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Why is the thing aliens use to abduct cows called a tractor beam? Cause you can always find them in fields! The aliens are here and they've brought tunes with them, I for one welcome our new wheel overlord. Thank you to SunglassesFrog for suggesting this theme! Songs Featured This Episode: Earth Intruders, by Björk The Strange Love, by Bitplane Gre…
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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
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#188 Leveraging cloud computing, AI and Machine Learning for meaningful impact with real life business problems with Dr Aleksandar Lazarevic
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We’re thrilled to have Dr Aleksandar Lazarevic, Former VP of Advanced Analytics & Data Engineering at Stanley Black & Decker, joining us from the U.S.! He holds a wealth of experience and shares many of his hard-earned lessons in today’s episode. Data is Alex’s passion and his journey in the data science field started 20 years ago with his PhD in M…
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Courageous! Artificial Intelligence & Cybersecurity Think Tank with Dr. Rollan Roberts
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Energy & Emotional Management
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โดย Dr. Rollan Roberts II
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Artificial Intelligence: Paper Time
1
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
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…
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Artificial Intelligence: Paper Time
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…
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Artificial Intelligence: Paper Time
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…
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Intelligenza Artificiale Spiegata Semplice
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Deix: dall'Università al mercato! - #254
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1. Deix nasce nel 2020 da 4 professori dell'Università di Firenze e Roma per applicare la ricerca nelle aziende 2. La definizione della Business Challange è fondamentale per il successo del progetto 3. La Green AI è per noi un tema di ricerca per andare nella direzione di una AI sostenibile.โดย Giacinto Fiore e Pasquale Viscanti
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Artificial Intelligence: Paper Time
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…
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Artificial Intelligence: Paper Time
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 …
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Artificial Intelligence: Paper Time
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…
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Artificial Intelligence: Paper Time
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…
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Artificial Intelligence: Paper Time
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…
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Artificial Intelligence: Paper Time
1
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
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…
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Artificial Intelligence: Paper Time
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Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents
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 …
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Artificial Intelligence: Paper Time
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 …
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…
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Artificial Intelligence: Paper Time
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The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
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…
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Artificial Intelligence: Paper Time
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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Artificial Intelligence: Paper Time
Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang ShiAbstractThe dynamic formulation of optimal transport has attracted growing interests in scientific computing and machine learning, and its computation requires to solve a PDE-constrained optimization problem. The classical Eulerian discretization based approaches suffer from the curse of d…
Moshe Babaioff and Uriel FeigeAbstractWe consider fair allocation of a set $M$ of indivisible goods to $n$ equally-entitled agents, with no monetary transfers. Every agent $i$ has a valuation $v_i$ from some given class of valuation functions. A share $s$ is a function that maps a pair $(v_i,n)$ to a value, with the interpretation that if an alloca…
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Artificial Intelligence: Paper Time
Dieter Brughmans, Pieter Leyman and David MartensAbstractIn this paper we suggest NICE: a new algorithm to generate counterfactual explanations for heterogeneous tabular data. The design of our algorithm specifically takes into account algorithmic requirements that often emerge in real-life deployments: (1) the ability to provide an explanation for…
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Artificial Intelligence: Paper Time
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KGRGRL: A User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning
Lei Zhang, Yu Pan, Yi Liu, Qibin Zheng, Zhisong PanAbstractIn general, multiple domain cyberspace security assessments can be implemented by reasoning user's permissions. However, while existing methods include some information from the physical and social domains, they do not provide a comprehensive representation of cyberspace. Existing reasoning…
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Artificial Intelligence: Paper Time
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Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
Anoushka Vyas, Sambaran BandyopadhyayAbstractSoil moisture is an important component of precision agriculture as it directly impacts the growth and quality of vegetation. Forecasting soil moisture is essential to schedule the irrigation and optimize the use of water. Physics based soil moisture models need rich features and heavy computation which …
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Artificial Intelligence: Paper Time
Rafael Kiesel, Pietro Totis and Angelika KimmigAbstractQuantitative extensions of logic programming often require the solution of so called second level inference tasks, i.e., problems that involve a third operation, such as maximization or normalization, on top of addition and multiplication, and thus go beyond the well-known weighted or algebraic…
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu MatsubaraAbstractThe recently successful Munchausen Reinforcement Learning (M-RL) features implicit Kullback-Leibler (KL) regularization by augmenting the reward function with logarithm of the current stochastic policy. Though significant improvement has been shown with the Boltzmann softmax policy, w…
Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng ZhengAbstractDeep convolutional neural network (CNN) based models are vulnerable to the adversarial attacks. One of the possible reasons is that the embedding space of CNN based model is sparse, resulting in a large space for the generation of adversarial sampl…
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Artificial Intelligence: Paper Time
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Topological properties of basins of attraction and expressiveness of width bounded neural networks
Hans-Peter Beise, Steve Dias Da CruzAbstractIn Radhakrishnan et al. [2020], the authors empirically show that autoencoders trained with usual SGD methods shape out basins of attraction around their training data. We consider network functions of width not exceeding the input dimension and prove that in this situation basins of attraction are bounde…
Yen-Ting Lin, Hui-Chi Kuo, Ze-Song Xu, Ssu Chiu, Chieh-Chi Hung, Yi-Cheng Chen, Chao-Wei Huang, Yun-Nung ChenAbstractThis paper introduces Miutsu, National Taiwan University's Alexa Prize TaskBot, which is designed to assist users in completing tasks requiring multiple steps and decisions in two different domains -- home improvement and cooking. We…
Thai Van Nguyen, Xincheng Dai, Ibrahim Khan, Ruck Thawonmas, Hai V. PhamAbstractThis paper presents a deep reinforcement learning AI that uses sound as the input on the DareFightingICE platform at the DareFightingICE Competition in IEEE CoG 2022. In this work, an AI that only uses sound as the input is called blind AI. While state-of-the-art AIs re…
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Artificial Intelligence: Paper Time
Shakil M. KhanAbstractInspired by a novel action-theoretic formalization of actual cause, Khan and Lesp\'erance (2021) recently proposed a first account of causal knowledge that supports epistemic effects, models causal knowledge dynamics, and allows sensing actions to be causes of observed effects. To date, no other study has looked specifically a…
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Artificial Intelligence: Paper Time
Yuxin Deng and Jiayi MaAbstractDeep-learning-based local feature extraction algorithms that combine detection and description have made significant progress in visible image matching. However, the end-to-end training of such frameworks is notoriously unstable due to the lack of strong supervision of detection and the inappropriate coupling between …
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Artificial Intelligence: Paper Time
Yefei He, Luoming Zhang, Weijia Wu, Hong ZhouAbstractBinary neural network leverages the $Sign$ function to binarize real values, and its non-derivative property inevitably brings huge gradient errors during backpropagation. Although many hand-designed soft functions have been proposed to approximate gradients, their mechanism is not clear and ther…
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Artificial Intelligence: Paper Time
Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen FengAbstractSpatial reasoning on multi-view line drawings by state-of-the-art supervised deep networks is recently shown with puzzling low performances on the SPARE3D dataset. Based on the fact that self-supervised learning is helpful when a large number of data are available, we propose two…
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Artificial Intelligence: Paper Time
He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian PeiAbstractGraph neural networks (GNNs) have emerged as a series of competent graph learning methods for diverse real-world scenarios, ranging from daily applications like recommendation systems and question answering to cutting-edge technologies such as drug discovery in life scien…
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Artificial Intelligence: Paper Time
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Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan G\'omez-Luna, Sander Stuijk, Henk Corporaal, Onur MutluAbstractHybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent research proposes various techniques that aim to acc…
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Artificial Intelligence: Paper Time
Ziyang Jiang, Tongshu Zheng, and David CarlsonAbstractIt is challenging to guide neural network (NN) learning with prior knowledge. In contrast, many known properties, such as spatial smoothness or seasonality, are straightforward to model by choosing an appropriate kernel in a Gaussian process (GP). Many deep learning applications could be enhance…
