Artificial Intelligence สาธารณะ
[search 0]
พ็อดคาสท์ Artificial Intelligence ดีที่สุดที่เราพบ
พ็อดคาสท์ Artificial Intelligence ดีที่สุดที่เราพบ
With the rise of artificial intelligence in use today including applications like Siri, Alexa, Tesla, Cortana, Cogito, Google Now, and even Netflix, podcasts are a great alternative to keep yourself updated. We've gathered a list of podcasts available for you about this technology where you can get the latest news and trends plus learn more about how AI works and its impact on our lives.
เพิ่มเติม

ดาวน์โหลดแอปเลย!

show episodes
 
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 ...
 
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 ...
 
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 Artificial Intelligence reshape the future of warfare? Created by Shephard Studio, The Artificial Intelli ...
 
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!
 
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 ...
 
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
 
The world’s brightest minds are working tirelessly to harness the power of ai in order to gain a deeper understanding of life, existence, and also subsequently being... Well they can stop right now, because Mary and Tina have the answers. The girls have put in the work; minutes of research have culminated in this definitive resource for life’s biggest questions.
 
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!
 
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.
 
The Awakened Humanity Podcast is your Podcast for artificial and human intelligence. You can expect a wide mix of inspiring interviews with top international experts and updates on current developments in these areas. Are we driven by technology or do we drive it? How can we find a balance between ethics and technology? What does it mean to be a human being in the AI age? The Awakened Humanity Podcast is all about asking deep questions and providing you with information and inspiration about ...
 
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 ...
 
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 ...
 
Caregiver Camp Podcast expands the boundaries of thinking around where and how companies can support their caregiving employees. We feature enlightened perspectives across the caregiving landscape: from companies that celebrate caregiver-friendly workplaces to artificial intelligence product developers who are pioneering at-home detection programs for peace of mind. Join us to learn how companies are finding innovative ways to address the very real caregiving challenges we are now all seeing ...
 
D
Data Gurus

1
Data Gurus

Unsubscribe
Unsubscribe
รายเดือน+
 
Welcome to the the Data Gurus Podcast! The world around us is changing faster than ever before. From automation, artificial intelligence, big data, geo-location to every aspect of how we work and live. This includes DATA. Welcome to Data Gurus Podcast… our mission is to bring you a real life perspective on what’s happening in the data industry and how successful companies and individuals in this niche navigate through the sea of change. Encouraging you to Be Bold, Be Brave and Be Fearless – ...
 
Loading …
show series
 
Andy and Dave discuss the latest in AI news and research, including: 0:57: The Allen Institute for AI and others come together to create a publicly available “COVID-19 Challenges and Directions” search engine, building off of the corpus of COVID-related research. 5:06: Researchers with the University of Warwick perform a systematic review of test a…
 
Ivy Lu: How To Organize Data Science Teams and Data Science Projects for Startups [Audio] Podcast: Play in new window | Download Subscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSS Ivy Lu is the head of data science and machine learning at Oxygen. Ivy's onboarding marked the launch of Oxygen’s banking platform. She has bachelor's degree …
 
Today we’re joined by Yanshuai Cao, a senior research team lead at Borealis AI. In our conversation with Yanshuai, we explore his work on Turing, their natural language to SQL engine that allows users to get insights from relational databases without having to write code. We do a bit of compare and contrast with the recently released Codex Model fr…
 
On the AI Today podcast we regularly interview thought leaders who are implementing AI and cognitive technology at various companies and agencies. However in this episode hosts Kathleen Walch and Ron Schmelzer interview Liberty Vittert & Xiao-Li Meng, hosts of the Harvard Data Science Review (HDSR) podcast. On their podcast they discuss news, polic…
 
The conversation this week is all about the intersection of Intellectual Property and Artificial Intelligence! I'm thrilled to have an expert in the fields of Artificial Intelligence, Patents, and Intellectual Property on the program. This is an amazing conversation and one in which I learned so much in just a short period of time from our guest, R…
 
Yigit Tuncel, Ganapati Bhat, Jaehyun Park, Umit OgrasAbstractEnergy harvesting offers an attractive and promising mechanism to power low-energy devices. However, it alone is insufficient to enable an energy-neutral operation, which can eliminate tedious battery charging and replacement requirements. Achieving an energy-neutral operation is challeng…
 
In this episode, Felipe speaks about what is going on with artificial intelligence in the retail space. Visual search and recommendations are currently trending in retail. Companies are offering the ability for consumers to search based on a picture. For instance, consumers can take a picture of a pair of shoes and find that product online, similar…
 
The US and its allies are today focused on multi-domain operations, also known as Joint All-Domain Command and Control. In simple terms, the concept calls for platforms and systems across land, sea, air, space and cyber to increasingly interact and support one another. Artificial intelligence will be vital for this future, collecting and manipulati…
 
Roborah is a podcast that's completely scripted and spoken by artificial intelligence. It has been 3 years since this program was run, but Spencer and Jess are ready as ever to get back into making a show. A quick glimpse at the top stories in the news, and another run of these AI bots making computer-generated music.…
 
This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. For AI to have a lasting positive impact it must be done responsibly. In our education we go into great detail explaining and breaking down AI, including fundamentals of AI including terms and concepts of AI and how it all fits …
 
We’ve got something special for you today folks: bats. That’s right: bats. Ever since Thomas Nagel wrote his famous essay on what it’s like to be a bat, these flying, furry, nocturnal, shrieky mammals have taken up roost in our scientific imaginations. They’ve become a kind of poster child—or poster creature?—for the idea that our world is full of …
 
Welcome to another exciting and informative episode of the Data Gurus podcast! Sima is excited to have Ted Pulsifer, the Executive Vice President of Enterprise Solutions at the Schlesinger Group, as her guest for today’s show. In this episode, Ted talks to Sima about his career, his panel discussion at SampleCon, asking the right questions, and inc…
 
Today we’re joined by Yejin Choi, a professor at the University of Washington. We had the pleasure of catching up with Yejin after her keynote interview at the recent Stanford HAI “Foundational Models” workshop. In our conversation, we explore her work at the intersection of natural language generation and common sense reasoning, including how she …
 
Andy and Dave discuss the latest in AI news and research, including: 0:46: The GAO releases a more extensive report on US Federal agency use of facial recognition technology, including what purposes. 3:24: The US Department of Homeland Security Science and Technology Directorate publishes its AI and ML Strategic Plan, with an implementation plan to…
 
Li Yang, Dimitrios Michael Manias, Abdallah ShamiAbstractAs the number of Internet of Things (IoT) devices and systems have surged, IoT data analytics techniques have been developed to detect malicious cyber-attacks and secure IoT systems; however, concept drift issues often occur in IoT data analytics, as IoT data is often dynamic data streams tha…
 
Vincent Grari, Sylvain Lamprier, Marcin DetynieckiAbstractIn recent years, most fairness strategies in machine learning models focus on mitigating unwanted biases by assuming that the sensitive information is observed. However this is not always possible in practice. Due to privacy purposes and var-ious regulations such as RGPD in EU, many personal…
 
Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan and Xiaojie WangAbstractUnlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In such a scenario, the topic of a conversation can vary upon progres…
 
Omran Alamayreh and Mauro BarniAbstractResearch on the detection of AI-generated videos has focused almost exclusively on face videos, usually referred to as deepfakes. Manipulations like face swapping, face reenactment and expression manipulation have been the subject of an intense research with the development of a number of efficient tools to di…
 
Tomasz Limisiewicz and David Mare\v{c}ekAbstractState-of-the-art contextual embeddings are obtained from large language models available only for a few languages. For others, we need to learn representations using a multilingual model. There is an ongoing debate on whether multilingual embeddings can be aligned in a space shared across many languag…
 
Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu, Huan SunAbstractWe present ReasonBert, a pre-training method that augments language models with the ability to reason over long-range relations and multiple, possibly hybrid contexts. Unlike existing pre-training methods that only harvest learning signals from local contexts of naturally occurring te…
 
Youcef RemilAbstractThe genuine supervision of modern IT systems brings new challenges as it requires higher standards of scalability, reliability and efficiency when analysing and monitoring big data streams. Rule-based inference engines are a key component of maintenance systems in detecting anomalies and automating their resolution. However, the…
 
Domenico Cantone, Carmelo Fabio Longo, Marianna Nicolosi-Asmundo, Daniele Francesco Santamaria, Corrado SantoroAbstractIn this contribution we extend an ontology for modelling agents and their interactions, called Ontology for Agents, Systems, and Integration of Services (in short, OASIS), with conditionals and ontological smart contracts (in short…
 
Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei WangAbstractObject SLAM introduces the concept of objects into Simultaneous Localization and Mapping (SLAM) and helps understand indoor scenes for mobile robots and object-level interactive applications. The state-of-art object SLAM systems face challenges such as partial observatio…
 
Xinyi Wang and Yulia Tsvetkov and Sebastian Ruder and Graham NeubigAbstractAdapters are light-weight modules that allow parameter-efficient fine-tuning of pretrained models. Specialized language and task adapters have recently been proposed to facilitate cross-lingual transfer of multilingual pretrained models (Pfeiffer et al., 2020b). However, thi…
 
Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna ShahafAbstractLarge repositories of products, patents and scientific papers offer an opportunity for building systems that scour millions of ideas and help users discover inspirations. However, idea descriptions are typically in the form of unstructured text, …
 
Kepa Bengoetxea and Itziar Gonzalez-DiosAbstractReadability assessment is the task of determining how difficult or easy a text is or which level/grade it has. Traditionally, language dependent readability formula have been used, but these formulae take few text characteristics into account. However, Natural Language Processing (NLP) tools that asse…
 
Shanthi Lekkala, Tanya Motwani, Manojkumar Parmar, Amit PhadkeAbstractArtificial Intelligence has made a significant contribution to autonomous vehicles, from object detection to path planning. However, AI models require a large amount of sensitive training data and are usually computationally intensive to build. The commercial value of such models…
 
Kijong Han, Seojin Lee, Wooin Lee, Joosung Lee, Dong-hun LeeAbstractMulti-turn response selection models have recently shown comparable performance to humans in several benchmark datasets. However, in the real environment, these models often have weaknesses, such as making incorrect predictions based heavily on superficial patterns without a compre…
 
Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin St\"ohr, and Armin WolfAbstractThe subject of Job Scheduling Optimisation (JSO) deals with the scheduling of jobs in an organization, so that the single working steps are optimally organized regarding the postulated targets. In this paper a use case is provided which deals with a sub-aspect o…
 
Johannes Kruse, Benjamin Sch\"afer, Dirk WitthautAbstractThe transition to a renewable energy system poses challenges for power grid operation and stability. Secondary control is key in restoring the power system to its reference following a disturbance. Underestimating the necessary control capacity may require emergency measures, such as load she…
 
Rong Gong, Carl Quillen, Dushyant Sharma, Andrew Goderre, Jos\'e La\'inez, Ljubomir Milanovi\'cAbstractWhen a sufficiently large far-field training data is presented, jointly optimizing a multichannel frontend and an end-to-end (E2E) Automatic Speech Recognition (ASR) backend shows promising results. Recent literature has shown traditional beamform…
 
Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee and Hany HassanAbstractMultilingual Neural Machine Translation (NMT) enables one model to serve all translation directions, including ones that are unseen during training, i.e. zero-shot translation. Despite being theoretically attractive, current models often produce low qua…
 
Michael Abaho, Danushka Bollegala, Paula Williamson, Susanna DoddAbstractA health outcome is a measurement or an observation used to capture and assess the effect of a treatment. Automatic detection of health outcomes from text would undoubtedly speed up access to evidence necessary in healthcare decision making. Prior work on outcome detection has…
 
Yuchen Lian, Arianna Bisazza and Tessa VerhoefAbstractNatural languages display a trade-off among different strategies to convey syntactic structure, such as word order or inflection. This trade-off, however, has not appeared in recent simulations of iterated language learning with neural network agents (Chaabouni et al., 2019b). We re-evaluate thi…
 
Eyke H\"ullermeier and Felix Mohr and Alexander Tornede and Marcel WeverAbstractThe notion of bounded rationality originated from the insight that perfectly rational behavior cannot be realized by agents with limited cognitive or computational resources. Research on bounded rationality, mainly initiated by Herbert Simon, has a longstanding traditio…
 
Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao and Yang YangAbstractRecently, several studies have explored the use of neural network to solve different routing problems, which is an auspicious direction. These studies usually design an encoder-decoder based framework that uses encoder embeddings of nodes and the problem-specific context to produce node…
 
Ziyi Yang, Yinfei Yang, Daniel Cer and Eric DarveAbstractLanguage agnostic and semantic-language information isolation is an emerging research direction for multilingual representations models. We explore this problem from a novel angle of geometric algebra and semantic space. A simple but highly effective method "Language Information Removal (LIR)…
 
Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki KoAbstractAlthough the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis. Recently, there have been new attempts to quantitatively grasp players' styles using video-based event stream data. Howev…
 
Jiacheng Ye, Ruijian Cai, Tao Gui and Qi ZhangAbstractThe encoder-decoder framework achieves state-of-the-art results in keyphrase generation (KG) tasks by predicting both present keyphrases that appear in the source document and absent keyphrases that do not. However, relying solely on the source document can result in generating uncontrollable an…
 
Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea FinnAbstractMulti-task learning can leverage information learned by one task to benefit the training of other tasks. Despite this capacity, naive formulations often degrade performance and in particular, identifying the tasks that would benefit from co-training remains a challe…
 
Li Zhou, Kevin Small, Yong Zhang, Sandeep AtluriAbstractMotivated by suggested question generation in conversational news recommendation systems, we propose a model for generating question-answer pairs (QA pairs) with self-contained, summary-centric questions and length-constrained, article-summarizing answers. We begin by collecting a new dataset …
 
Zhao Yang, Mike Preuss, Aske PlaatAbstractTransfer learning can speed up training in machine learning and is regularly used in classification tasks. It reuses prior knowledge from other tasks to pre-train networks for new tasks. In reinforcement learning, learning actions for a behavior policy that can be applied to new environments is still a chal…
 
Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui JinAbstractAnomaly detection plays a crucial role in various real-world applications, including healthcare and finance systems. Owing to the limited number of anomaly labels in these complex systems, unsupervised anomaly detection methods have attracted great attention in rec…
 
Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston TanAbstractTo align advanced artificial intelligence (AI) with human values and promote safe AI, it is important for AI to predict the outcome of physical interactions. Even with the ongoing debates on how humans predict the outcomes of physical interactions among objects in the real world,…
 
Kuntal Kumar Pal and Chitta BaralAbstractThe transformer-based pre-trained language models have been tremendously successful in most of the conventional NLP tasks. But they often struggle in those tasks where numerical understanding is required. Some possible reasons can be the tokenizers and pre-training objectives which are not specifically desig…
 
J.E. BeasleyAbstractIn this paper we deal with a practical problem that arises in military situations. The problem is to plan a path for one, or more, agents to reach a target without being detected by enemy sensors. Agents are not passive, rather they can initiate actions which aid evasion. They can knockout, completely disable, sensors. They can …
 
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun KwakAbstractWith the growth of deep neural networks (DNN), the number of DNN parameters has drastically increased. This makes DNN models hard to be deployed on resource-limited embedded systems. To alleviate this problem, dynamic pruning methods have emerged, which try to find diverse sparsity pa…
 
Aryan Naim, Ryan Alimo, and Jay BraunAbstractEmergency personnel respond to various situations ranging from fire, medical, hazardous materials, industrial accidents, to natural disasters. Situations such as natural disasters or terrorist acts require a multifaceted response of firefighters, paramedics, hazmat teams, and other agencies. Engineering …
 
Tara Safavi, Jing Zhu, Danai KoutraAbstractCodifying commonsense knowledge in machines is a longstanding goal of artificial intelligence. Recently, much progress toward this goal has been made with automatic knowledge base (KB) construction techniques. However, such techniques focus primarily on the acquisition of positive (true) KB statements, eve…
 
Today we’re joined by Konrad Tollmar, research director at Electronic Arts and an associate professor at KTH. In our conversation, we explore his role as the lead of EA’s applied research team SEED and the ways that they’re applying ML/AI across popular franchises like Apex Legends, Madden, and FIFA. We break down a few papers focused on the applic…
 
Loading …

คู่มืออ้างอิงด่วน

Google login Twitter login Classic login