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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 ...
 
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
 
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.
 
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 ...
 
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ARTIFICIAL GHOST RADIO

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ARTIFICIAL GHOST RADIO

Jupiter Morningstar and Joe Langlois

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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
 
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.
 
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!
 
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 ...
 
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.
 
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 ...
 
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.
 
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 ...
 
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!
 
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 ...
 
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 ...
 
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 ...
 
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!
 
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
 
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 ...
 
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.
 
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.
 
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
 
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.
 
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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(wacky catchphrase), (audience applause). "Joe I don't think we're in the radio anymore..." (crowd ooo's), (hoots and hollers). "I know Jupiter, we're in the episode description." (uproarious laughter). "I think this joke is running it's course." (tomatos), (tomatos), (tomatos). Thank you to Alexander Mercury for the theme! Songs Featured This Epis…
 
On this episode of the podcast, we are excited to speak to Sarah Dods, one of Australia’s top tech entrepreneurs, innovators, and company leaders. In a career that has spanned from public organisations like NICTA and CSIRO, to private companies as wide ranging as AGL, Telstra Health, RMIT University and Gerson Lehrman, Sarah has been at the forefro…
 
Aaron Parisi, Yao Zhao, Noah FiedelAbstractTransformer based language models (LMs) demonstrate increasing performance with scale across a wide variety of tasks. Scale alone however cannot enable models to solve tasks that require access to ephemeral, changing, or private data that was unavailable at training time. Many useful tasks may also benefit…
 
The conversation this week is with Caroline Sinders. Caroline is a machine learning design researcher and artist. For the past few years, she has been examining the intersections of technology's impact on society, interface design, artificial intelligence, abuse, and politics in digital conversational spaces. Sinders is the founder of Convocation D…
 
This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat contrarian, viewpoint to the three prominent schools of thought that organizations tend to fall into, as well as a…
 
[Audio] Podcast: Play in new window | Download Subscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSS Gianluca Mauro is the CEO of AI Academy, which he founded with the mission of helping people understand what artificial intelligence is and its place in their organizations and their career. Gianluca is the author of the book "Zero to AI - …
 
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…
 
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…
 
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…
 
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…
 
“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…
 
Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa and Eneko AgirreAbstractFormal verse poetry imposes strict constraints on the meter and rhyme scheme of poems. Most prior work on generating this type of poetry uses existing poems for supervision, which are difficult to obtain for most languages and poetic forms. In this work, we propo…
 
Aishwarya Agrawal, Ivana Kaji\'c, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida NematzadehAbstractVision-and-language (V&L) models pretrained on large-scale multimodal data have demonstrated strong performance on various tasks such as image captioning and visual question answering (VQA). The quality of such models is common…
 
Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan BalasubramanianAbstractNLP models learn sentence representations for downstream tasks by tuning a model which is pre-trained by masked language modeling. However, after tuning, the learned sentence representations may be skewed heavily toward label space and thus are not expressive enough to represen…
 
Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. YuAbstractThe rising popularity of online social network services has attracted lots of research on mining social media data, especially on mining social events. Social event detection, due to its wide applications, has now become a trivial task. State-of-the-art approaches exploiting …
 
Glen Smith, Qiao Zhang, Christopher MacLellanAbstractComputer-aided diagnosis for medical imaging is a well-studied field that aims to provide real-time decision support systems for physicians. These systems attempt to detect and diagnose a plethora of medical conditions across a variety of image diagnostic technologies including ultrasound, x-ray,…
 
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai ZhangAbstractThe increasingly stringent data privacy regulations limit the development of person re-identification (ReID) because person ReID training requires centralizing an enormous amount of data that contains sensitive personal information. To address this problem, we introduce federated person re-i…
 
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John XuAbstractSubstantial work indicates that the dynamics of neural networks (NNs) is closely related to their initialization of parameters. Inspired by the phase diagram for two-layer ReLU NNs with infinite width (Luo et al., 2021), we make a step towards drawing a phase diagra…
 
Pablo Mosteiro and Jesse Kuiper and Judith Masthoff and Floortje Scheepers and Marco SpruitAbstractFairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We computed fairness metrics and present bias mitigation strategies using a model trained on cl…
 
Georgios Tziafas, Hamidreza KasaeiAbstractService robots should be able to interact naturally with non-expert human users, not only to help them in various tasks but also to receive guidance in order to resolve ambiguities that might be present in the instruction. We consider the task of visual grounding, where the agent segments an object from a c…
 
Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. CliftonAbstractWith the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced. This is especially severe in the context of clinical data, where there may be one rare event for many cases in the majo…
 
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin ZhengAbstractThe ever-increasing data scale of user-item interactions makes it challenging for an effective and efficient recommender system. Recently, hash-based collaborative filtering (Hash-CF) approaches employ efficient Hamming distance of learned binary representations of users and i…
 
Katharina Hoedt, Arthur Flexer, Gerhard WidmerAbstractAdversarial attacks can drastically degrade performance of recommenders and other machine learning systems, resulting in an increased demand for defence mechanisms. We present a new line of defence against attacks which exploit a vulnerability of recommenders that operate in high dimensional dat…
 
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. GreenwaldAbstractHindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents with med…
 
Jianhan Wu, Shijing Si, Jianzong Wang, Jing XiaoAbstractWith the rapid development of the Metaverse, virtual humans have emerged, and human image synthesis and editing techniques, such as pose transfer, have recently become popular. Most of the existing techniques rely on GANs, which can generate good human images even with large variants and occlu…
 
Emmanuel Dauc\'eAbstractThe capability to widely sample the state and action spaces is a key ingredient toward building effective reinforcement learning algorithms. The variational optimization principles exposed in this paper emphasize the importance of an occupancy model to synthesizes the general distribution of the agent's environmental states …
 
Tomer Barak and Yonatan LoewensteinAbstractCognitive psychologists often use the term $\textit{fluid intelligence}$ to describe the ability of humans to solve novel tasks without any prior training. In contrast to humans, deep neural networks can perform cognitive tasks only after extensive (pre-)training with a large number of relevant examples. M…
 
Yuan Wang and Huiling Song and Peng Huo and Tao Xu and Jucheng Yang and Yarui Chen and Tingting ZhaoAbstractExtreme multi-label text classification (XMTC) refers to the problem of tagging a given text with the most relevant subset of labels from a large label set. A majority of labels only have a few training instances due to large label dimensiona…
 
Buda Baji\'c, Ozan \"Oktem, Jevgenija RudzusikaAbstractHelical acquisition geometry is the most common geometry used in computed tomography (CT) scanners for medical imaging. We adapt the invertible Learned Primal-Dual (iLPD) deep neural network architecture so that it can be applied to helical 3D CT reconstruction. We achieve this by splitting the…
 
Kawin Ethayarajh, Dan JurafskyAbstractHuman ratings are treated as the gold standard in NLG evaluation. The standard protocol is to collect ratings of generated text, average across annotators, and then rank NLG systems by their average scores. However, little consideration has been given as to whether this approach faithfully captures human prefer…
 
Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Ali MovagharAbstractIn this note, a formal transition system model called LTPAL to extract knowledge in a classification process is suggested. The model combines the Public Announcement Logic (PAL) and the Linear Temporal Logic (LTL). In the model, first, we consider classifiers, which capture single…
 
Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner, Johannes Kopp, Klaus DietmayerAbstractAdverse weather conditions can negatively affect LiDAR-based object detectors. In this work, we focus on the phenomenon of vehicle gas exhaust condensation in cold weather conditions. This everyday effect can influence the estimation of object size…
 
Yuhan Li, Wei Shen, Jianbo Gao, Yadong WangAbstractCommunity Question Answering (CQA) platforms contain plenty of CQA texts (i.e., questions and answers corresponding to the question) where named entities appear ubiquitously. In this paper, we define a new task of CQA entity linking (CQAEL) as linking the textual entity mentions detected from CQA t…
 
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke IwasawaAbstractPretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars. Notably, chain of thought (CoT) prompting, a recent technique for elicit…
 
Lang Qian, Shengjie Zheng, Chunshan Deng, Cheng Yang, Xiaojian LiAbstractBrain-computer interfaces (BCIs), is ways for electronic devices to communicate directly with the brain. For most medical-type brain-computer interface tasks, the activity of multiple units of neurons or local field potentials is sufficient for decoding. But for BCIs used in n…
 
Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang WenAbstractDeep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU datacenter.…
 
Zhenhe Cui, Weidu Kuang, Yongmei LiuAbstractGeneralized planning studies the computation of general solutions for a set of planning problems. Computing general solutions with correctness guarantee has long been a key issue in generalized planning. Abstractions are widely used to solve generalized planning problems. Solutions of sound abstractions a…
 
Jennifer D'SouzaAbstractWe are faced with an unprecedented production in scholarly publications worldwide. Stakeholders in the digital libraries posit that the document-based publishing paradigm has reached the limits of adequacy. Instead, structured, machine-interpretable, fine-grained scholarly knowledge publishing as Knowledge Graphs (KG) is str…
 
Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam DattaAbstractThis paper studies faithful explanations for Graph Neural Networks (GNNs). First, we provide a new and general method for formally characterizing the faithfulness of explanations for GNNs. It applies to existing explanation methods, …
 
Junyong Wang, Yuan Zeng and Yi GongAbstractAccurate detection of objects in 3D point clouds is a key problem in autonomous driving systems. Collaborative perception can incorporate information from spatially diverse sensors and provide significant benefits for improving the perception accuracy of autonomous driving systems. In this work, we conside…
 
Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter AbbeelAbstractIn order to practically implement the door opening task, a policy ought to be robust to a wide distribution of door types and environment settings. Reinforcement Learning (RL) with Domain Randomization (DR) is a promising technique to enforce policy gener…
 
Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping AnAbstractRecently, the compression and deployment of powerful deep neural networks (DNNs) on resource-limited edge devices to provide intelligent services have become attractive tasks. Although knowledge distillation (KD) is a feasible solution for compression, its requirement on the original datase…
 
Linrui zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan, Xueqian Wang, Dacheng TaoAbstractSafe reinforcement learning aims to learn the optimal policy while satisfying safety constraints, which is essential in real-world applications. However, current algorithms still struggle for efficient policy updates with hard constraint satisfaction. In this…
 
George P. Harabin, Morad BehandishAbstractHybrid manufacturing (HM) technologies combine additive and subtractive manufacturing (AM/SM) capabilities in multi-modal process plans that leverage the strengths of each. Despite the growing interest in HM technologies, software tools for process planning have not caught up with advances in hardware and t…
 
Lesheng Jin, Zihan Wang, Jingbo ShangAbstractExisting backdoor defense methods are only effective for limited trigger types. To defend different trigger types at once, we start from the class-irrelevant nature of the poisoning process and propose a novel weakly supervised backdoor defense framework WeDef. Recent advances in weak supervision make it…
 
Keehang KwonAbstract{\em Computability logic} (CoL) is a powerful computational model which views computational problems as games played by a machine and its environment. It uses formulas to represent computational problems. In this paper, we show that CoL naturally supports multiagent programming models with distributed control. To be specific, we…
 
Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo ShangAbstractFine-tuning pre-trained language models has recently become a common practice in building NLP models for various tasks, especially few-shot tasks. We argue that under the few-shot setting, formulating fine-tuning closer to the pre-training objectives shall be able to unleash more benefits fro…
 
Jiachen Li, Ye Yuan, Hong-Bin ShenAbstractSymbolic Regression (SR) is a type of regression analysis to automatically find the mathematical expression that best fits the data. Currently, SR still basically relies on various searching strategies so that a sample-specific model is required to be optimized for every expression, which significantly limi…
 
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