show episodes
 
Epicenter brings you in-depth conversations about the technical, economic and social implications of cryptocurrencies and blockchain technologies. Every week, we interview business leaders, engineers academics and entrepreneurs, and bring you a diverse spectrum of opinions and points of view. Epicenter is hosted by Sebastien Couture, Brian Fabian Crain, Meher Roy, Sunny Aggarwal, and Friederike Ernst. Since 2014, episodes have been downloaded over 4 million times.
 
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The MDM Podcast

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The MDM Podcast

Modern Distribution Management

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The distribution industry is changing, with new players and technologies that will shape how you compete and sell. Stay ahead of your competitors with this regular series from Modern Distribution Management, and learn the trends and strategies that will keep you in the lead for the long haul.
 
Distribution on the Cusp of Metamorphosis’ podcast series is an opportunity to introduce companies like your own to becoming more agile. This podcast is produced by MCA Associates.If you happen to be a regular reader “MCA Talk” monthly newsletter, then you already know that we cover a variety of distribution-management topics focused on continuous improvement of your entire value-stream. This new periodic podcast allows us to expand our coverage - mitigate the newsletter space limitations we ...
 
Every weekday, host Kai Ryssdal helps you make sense of the day’s business and economic news — no econ degree or finance background required. “Marketplace” takes you beyond the numbers, bringing you context. Our team of reporters all over the world speak with CEOs, policymakers and regular people just trying to get by.
 
Let's Talk Supply Chain is not your average supply chain podcast. We feature not just the top of the industry, but also diverse voices from within the community, new innovations and the disrupters making waves in the industry. Don’t listen to the same ol' same ol', be sparked by new ideas and fresh perspectives only on Let's Talk Supply Chain.
 
Welcome to Remote Work Radio, where we chronicle the stories of people who live where they want and make their living by working remotely as employees, freelancers, and entrepreneurs. This podcast aims to empower you to make your work situation remote-friendly so you can improve your quality of life. Remote Work Radio is an original production of Utah State University Extension's Rural Online Initiative. For more information, visit remoteworkcertificate.com
 
Perspectives and reflections on the writing and publishing life. Mark Leslie Lefebvre, a writer, bookseller, digital publishing advocate, professional speaker, and publishing consultant explores inclusive and collaborative opportunities for writers and book publishing professionals via interviews, discussions, and reflections about the industry. (Mark's personal website is www.markleslie.ca)
 
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Be Mpowered

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Be Mpowered

Martin Bros. Distributing

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The time you invest in self-development not only increases the trajectory of your success, but the success of those you lead as well. Listen as we share ways to help you and your business succeed in our new podcast “Be Mpowered”.
 
Live freely! Prashant Sabapathi and the team bring everything you need to know about retirement and income planning in a fast paced format. Each week, the hosts and guests on the show reveal the latest developments in the financial world to keep you informed of changes that may affect you personally, while sharing some common sense strategies that will help you make the most out of your retirement savings. We are focused on helping investors preserve and grow their assets, increase their inc ...
 
Making music has never been easier, but building a music career today is altogether different. Finding the right audience for your music takes an entrepreneurial mindset, a lot of hard work, and a willingness to experiment. The DIY Musician Podcast features interviews with artists of all styles and backgrounds who’ve found a unique but authentic pathway to success, as well as in-depth discussions with music publicists, promoters, lawyers, publishers, talent buyers, and more. This podcast is ...
 
This podcast is all about the new virtual world of work. The globalized workforce is shifting more and more to remote work, virtual teams, and distributed collaboration. On this podcast, we talk with inspiring leaders, experts, and scientists about their learnings, findings, and experience when it comes to the future of work. We also share our own stories, experiences, and failures while discovering new virtual frontiers, so our listeners might have a nice takeaway (or at least, something to ...
 
Scott Phillips, Steven Cox, and the team bring everything you need to know about retirement and income planning in a fast paced format. Each week, the hosts and guests on the show reveal the latest developments in the financial world to keep you informed of changes that may affect you personally, while sharing some common sense strategies that will help you make the most out of your retirement savings. We are focused on helping investors preserve and grow their assets, increase their income, ...
 
Blockchain Insider, hosted by Simon Taylor, is a dedicated podcast specialising in crypto, blockchain and distributed ledger technology (DLT). Make it your home for cryptocurrency news! Since the price of Bitcoin has rocketed, and Bitcoin, Ethereum and Dogecoin have become household names, Blockchain Insider has charted their rise in a way that's accessible to new listeners. Blockchain Insider is putting out 2 episodes a month - one news show looking at all the biggest news in the sector, an ...
 
Matt Mullenweg, cofounder of WordPress and CEO of Automattic embarks on a journey to understand the future of work. Having built his own company with no offices and more than 1,300 employees in 76 countries, speaking 95 different languages, Mullenweg examines the benefits and challenges of distributed work and recruiting talented people around the globe.
 
Known for providing unparalleled access to the most diverse offering of expert voices in the Cryptocurrency & Blockchain Industry - Crypto Current is bridging the gap between the curious newcomers who are just discovering the space and the thought leaders who are shaping its future. Join us every week to hear from featured guests and learn about all the recent developments and trending stories that impact the future of money.
 
Driven: Ecommerce at Work is a podcast for B2B Distributors. Pulling from over a decade of experience in the digital commerce industry and building ecommerce storefronts, we will bring you conversations with industry experts to talk about their process and lessons learned in creating an impact on the online business and leaving their imprints on the global scale. This show helps you to learn end-to-end from technology, sales, marketing, and everything you need to know to grow your online bus ...
 
With The Music Industry 360 Podcast, we want to educate new and existing musicians about tools in the industry, while sharing knowledge to help artists take their careers to the next level. We’ll be sharing music promotion tips, talking about how to make money off your music, and more!
 
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show series
 
Sorare is a blockchain sports game which bridges fantasy football and NFT collectibles. A player collects a team of players in the form of NFTs and based on the performance of the players in the real world, scores points. At the end of the tournament, the Sorare participant is ranked and earns rewards. Nicolas Julia, Co-founder & CEO of Sorare, cre…
 
Selim Furkan Tekin, Suleyman Serdar KozatAbstractExisting approaches to the crime prediction problem are unsuccessful in expressing the details since they assign the probability values to large regions. This paper introduces a new architecture with the graph convolutional networks (GCN) and multivariate Gaussian distributions to perform high-resolu…
 
If a trade association is only as good as its leadership, then HARDI––the Heating, Air Conditioning, and Refrigeration Distributors International Association––is very good indeed, thanks to the energetic and innovative direction of CEO Talbot Gee. Jason chats with Talbot about his formula for providing consistent, top-notch value to HARDI members. …
 
Davide Bedin, a cloud solution architect at Microsoft and professional Dapr enthusiast joined host Jeff Doolittle to discuss his book, Practical Microservices with Dapr and .NET. Dapr (the Distributed Application Runtime; https://dapr.io) simplifies cloud-native application development by providing standards-based solutions for common application r…
 
Subscribe to Distributed at Pocket Casts, Apple Podcasts, Spotify, RSS, or wherever you like to listen. Nearly ten years ago, Dylan Field and Evan Wallace turned a Thiel Fellowship into a solution to the ‘single source of truth’ problem for design systems. Their interest in design collaboration and WebGL laid the foundation for the origin story of …
 
In this fifth episode, Howard Coleman, Principal of MCA Associates, offers his perspective on the “supply chain disruption” that is being experienced by wholesale distributors and manufacturing companies (who just may be your suppliers)! There appear to be plenty of reasons to raise questions about the merits and drawbacks of global supply chains. …
 
Workers over 65 were the fastest-growing segment of the labor force before the pandemic. But as the pandemic persists and new coronavirus variants spread, older adults have been slow to return to the workforce, and many have simply retired early. In a tight labor market, that shrunken labor pool could persist for years to come. We’ll also hear how …
 
Huge capital raises have given crypto companies and funds much deeper war chests. This episode is sponsored by NYDIG. On today’s episode, NLW breaks down investor Travis Kling’s recap of the biggest events in crypto from the month of November. He says two trends are huge capital raises and a focus on NFTs and the metaverse. Both, he suggests, make …
 
On this Tuesday Edition of CC Live... Richard and Steve discuss the MASSIVE recent Metaverse Land Sales in Decentraland + Axie Infinity, react to the partnership announcements from BAYC + Adidas, and share their Top Tokens for HUGE Gains in December! Timestamps 0:00 Intro If you missed us live, you can catch us going live every Tuesday and Thursday…
 
California’s portside neighborhoods, which are home to many low-income residents and communities of color, have long suffered from polluted air. But supply chain bottlenecks have worsened that pollution, which has been linked to cancer, heart disease and asthma. Though community advocates have pushed for emissions reductions, demand for goods that …
 
With David Marcus leaving, what is the future of diem? This episode is sponsored by NYDIG. On today’s episode, NLW does a retrospective of Facebook’s libra project, which was renamed late last year to diem. He argues that, whatever happens with diem specifically, it has a place in the historical record as the starting gun for a new era in stablecoi…
 
Simon Taylor and Cuy Sheffield are back to discuss and unpack all things Large Banks and Crypto. In this Insights show, we want to take a deep dive into the turbulent relationship between the both. With incumbents dismissing Bitcoin and Co. at the start, things are now looking very different - large banks are offering crypto custody and leading in …
 
TaP Music's Ed Millett and Wendy Ong oversee the careers of some of the most popular and powerful female artists in the business, including Lana Del Rey, Dua Lipa and Ellie Goulding. They also see first-hand the online abuse female artists receive, which is far worse than it is for male counterparts. Here, they talk about keeping their artists focu…
 
Chris Riccomini and Dmitriy Ryaboy discuss their book, The Missing Readme, which is intended to be the missing manual for new software engineers. Felienne spoke with Riccomini and Ryaboy about a range of topics that new software engineers might not have learned about in university or bootcamp, including how to handle technical debt, how to […]…
 
Food banks saw increased demand at the height of the pandemic. Now, as inflation limits what your buck can buy at grocery stores, demand is rising yet again. But food banks are dealing with those higher costs too, as well as supply chain issues that mean longer wait times for their orders and fewer donations. Also on today’s program, how Substack h…
 
Plus, the changes at Twitter have already started under its new CEO. This episode is sponsored by NYDIG. On today’s episode of ”The Breakdown,” NLW follows up on Twitter’s leadership change, covering a new privacy policy that some are saying has big implications for the platform. He also looks at Sen. Sherrod Brown’s letter to stablecoin issuers fr…
 
Even megastars "piece it together." Ticket sales, merch, streaming, publishing, appearances, sponsorships, the list goes on. But how can a DIY musician earn a living via a diversified revenue stream that includes production, session work, and teaching? And how do you score a major endorsement deal at the indie level? In this episode, Kevin intervie…
 
The coronavirus omicron variant caused stock market jitters on Friday. While the strain’s impact on global health remains to be seen, if omicron is similar to the delta wave, we can expect travel and consumer spending to take a big hit. How it might affect inflation is unclear. Plus: Black Friday spending is up but still below pre-pandemic levels; …
 
As Twitter’s CTO steps into the CEO role, what will the changes mean for crypto? This episode is sponsored by NYDIG. On today’s episode, NLW looks at two topics. The first is the market crash that left bitcoin down 8.5% on Friday, only to partially recover over the weekend. NLW looks at the combination of macro factors – led by the Omicron COVID-19…
 
Zechun Liu and Kwang-Ting Cheng and Dong Huang and Eric Xing and Zhiqiang ShenAbstractThe nonuniform quantization strategy for compressing neural networks usually achieves better performance than its counterpart, i.e., uniform strategy, due to its superior representational capacity. However, many nonuniform quantization methods overlook the complic…
 
Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre AlahiAbstractLearning behavioral patterns from observational data has been a de-facto approach to motion forecasting. Yet, the current paradigm suffers from two shortcomings: brittle under covariate shift and inefficient for knowledge transfer. In this work, we propose to add…
 
Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett Landman, Daguang Xu, Vishwesh Nath and Ali HatamizadehAbstractVision Transformers (ViT)s have shown great performance in self-supervised learning of global and local representations that can be transferred to downstream applications. Inspired by these results, we introduce a novel self-supervi…
 
Tyler CodyAbstractThe solution methods used to realize artificial general intelligence (AGI) may not contain the formalism needed to adequately model and characterize AGI. In particular, current approaches to learning hold notions of problem domain and problem task as fundamental precepts, but it is hardly apparent that an AGI encountered in the wi…
 
Aolin XuAbstractTraditional statistical estimation, or statistical inference in general, is static, in the sense that the estimate of the quantity of interest does not change the future evolution of the quantity. In some sequential estimation problems however, we encounter the situation where the future values of the quantity to be estimated depend…
 
Georgios Piliouras, Ryann Sim, Stratis SkoulakisAbstractIn this paper we solve the problem of no-regret learning in general games. Specifically, we provide a simple and practical algorithm that achieves constant regret with fixed step-sizes. The cumulative regret of our algorithm provably decreases linearly as the step-size increases. Our findings …
 
Alexander Lavin, Ciar\'an M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, At{\i}l{\i}m G\"une\c{s} Baydin, Sujoy Ganguly, Danny Lange, Amit Sharma, Stephan Zheng, Eric P. Xing, Adam Gibson, James Parr, Chris Mattmann, Yarin GalAbstractThe development and deployment of machine learning (ML) systems can be executed easily with modern too…
 
Dyah Adila and Dongyeop KangAbstractDespite machine learning models' success in Natural Language Processing (NLP) tasks, predictions from these models frequently fail on out-of-distribution (OOD) samples. Prior works have focused on developing state-of-the-art methods for detecting OOD. The fundamental question of how OOD samples differ from in-dis…
 
Vedant Nanda and Ayan Majumdar and Camila Kolling and John P. Dickerson and Krishna P. Gummadi and Bradley C. Love and Adrian WellerAbstractWe argue that a valuable perspective on when a model learns \textit{good} representations is that inputs that are mapped to similar representations by the model should be perceived similarly by humans. We use \…
 
Xinxing Yang and Genke Yang and Jian ChuAbstractComputational drug repositioning technology is an effective tool to accelerate drug development. Although this technique has been widely used and successful in recent decades, many existing models still suffer from multiple drawbacks such as the massive number of unvalidated drug-disease associations …
 
Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu LuAbstractBuilding general-purpose robots to perform an enormous amount of tasks in a large variety of environments at the human level is notoriously complicated. It requires the robot learning to be sample-efficient, generalizable, compositional, and incremental. In this work, we introduc…
 
Zeki BilginAbstractInserting a backdoor into the joint model in federated learning (FL) is a recent threat raising concerns. Existing studies mostly focus on developing effective countermeasures against this threat, assuming that backdoored local models, if any, somehow reveal themselves by anomalies in their gradients. However, this assumption nee…
 
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen AhmedAbstractIn this paper, we introduce the online and streaming MAP inference and learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where data points arrive in an arbitrary order and the algorithms are constrained to use …
 
Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian WolfAbstractVisual navigation by mobile robots is classically tackled through SLAM plus optimal planning, and more recently through end-to-end training of policies implemented as deep networks. While the former are often limited to waypoint planning, but have proven their efficiency even on …
 
Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao SunAbstractThe underlying assumption of recent federated learning (FL) paradigms is that local models usually share the same network architecture as the global model, which becomes impractical for mobile and IoT devices with different setups of hardware and infrastructure. A scalable federated lear…
 
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan TompsonAbstractReinforcement learning (RL) agents are widely used for solving complex sequential decision making tasks, but still exhibit difficulty in generalizing to scenarios not seen during training. While prior online approaches demonstrated that using additional signals beyond the reward f…
 
Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain H\'erault, St\'ephane CanuAbstractContrastive representation learning has proven to be an effective self-supervised learning method. Most successful approaches are based on the Noise Contrastive Estimation (NCE) paradigm and consider different views of an instance as positives and other instan…
 
Hyunmin Lee and Jaesik LeeAbstractIn this paper, we introduce a new dataset, named InstaOrder, that can be used to understand the spatial relationships of instances in a 3D space. The dataset consists of 2.9M annotations of geometric orderings for class-labeled instances in 101K natural scenes. The scenes were annotated by 3,659 crowd-workers regar…
 
Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin DautenhahnAbstractA challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation (IM) so that it can handle new situations and appe…
 
Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan LasenbyAbstractEfficient integration of solar energy into the electricity mix depends on a reliable anticipation of its intermittency. A promising approach to forecast the temporal variability of solar irradiance resulting from the cloud cover dynamics is based on the analysis of sequences of groun…
 
Geon Yeong Park, Sang Wan LeeAbstractAdversarial learning strategy has demonstrated remarkable performance in dealing with single-source Domain Adaptation (DA) problems, and it has recently been applied to Multi-source DA (MDA) problems. Although most existing MDA strategies rely on a multiple domain discriminator setting, its effect on the latent …
 
Weichuan Wang, Zhiwen Xie, Jin Liu, Yucong Duan, Bo Huang, Junsheng ZhangAbstractKnowledge graphs (KGs) on COVID-19 have been constructed to accelerate the research process of COVID-19. However, KGs are always incomplete, especially the new constructed COVID-19 KGs. Link prediction task aims to predict missing entities for (e, r, t) or (h, r, e), w…
 
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc PollefeysAbstractWe propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video. To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing its 3D position, rotation, velocity,…
 
Amin Asadi and Sarah Nurre Pinkley and Martijn MesAbstractWe consider the problem of optimizing the distribution operations at a drone hub that dispatches drones to different geographic locations generating stochastic demands for medical supplies. Drone delivery is an innovative method that introduces many benefits, such as low-contact delivery, th…
 
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