Neural Networks public
[search 0]
More

Download the App!

show episodes
 
Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while k ...
 
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 ...
 
Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational n ...
 
Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly man ...
 
Why isn't talking tech as simple, quick, and agile as its innovations promise to be? Technology Untangled is just that - a show that deciphers tech's rapid evolutions with one simple question in mind: what's really going to shape our future (and what's going to end up in the bargain bin with the floppy disc)? Join your host Michael Bird as he untangles innovation through a series of interviews, stories, and analyses with some of the industry's brightest brains. No marketing speak, no unneces ...
 
Keeping you up to date with the latest trends and best performing architectures in this fast evolving field in computer science. Selecting papers by comparative results, citations and influence we educate you on the latest research. Consider supporting us on Patreon.com/PapersRead for feedback and ideas.
 
iCritical Care: All Audio offers access to all of the Society of Critical Care Medicine's podcasts offering in-depth interviews on adult and pediatric clinical topics as well as updates in the field on various issues. Subscribing to All Audio ensures you receive all podcasts, whether iCritical Care hosts are chatting with authors from the Critical Care Medicine and Pediatric Critical Care Medicine journals, or covering other important topics with well-known speakers, prominent SCCM members o ...
 
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
 
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 ...
 
Science and AI-based podcast. The podcast hosts renowned names in the field of Science from esteemed organizations, institutions, and AI research-based organizations.Hi, my name is Vivek Dahiya. I am an Entrepreneur and a lifelong learner of Science, Machine Learning, and AI. Due to my inquisitiveness in these fields, I have decided to start a podcast so that millions of curious minds like myself can listen to the bright minds of the world and get all their answers while driving to work or a ...
 
CSIAC's Mission Mission Statement CSIAC is chartered to leverage the best practices and expertise from government, industry, and academia in order to promote technology domain awareness and solve the most critically challenging scientific and technical problems in the following areas: Cybersecurity and Information Assurance, Software Engineering, Modeling and Simulation, and Knowledge Management/Information Sharing.
 
Do you wonder what stimulates your happy brain chemicals- dopamine, serotonin, oxytocin, endorphin? Answer your questions with these lively conversations between Loretta Breuning and real readers of her book, Habits of a Happy Brain: Retrain your brain to boost your serotonin, dopamine, oxytocin and endorphin levels. Still have more questions? Read the book and be a guest on the show yourself! Contact Dr. Breuning and learn more about her work at the Inner Mammal Institute at: InnerMammalIns ...
 
Ninety percent of the news out there tells you nothing about where the world is going — ten percent of it tells you everything. Every afternoon on the News Items Podcast with John Ellis, John and Rebecca Darst focus on that ten percent — news that’s interesting, important or both. The podcast is based on John Ellis’ News Items, an email newsletter that goes out to organizations including the Council on Foreign Relations, Samsung Next, and the Wall Street Journal. Tune in every Monday through ...
 
Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers.
 
U
Unsupervised

1
Unsupervised

Inbar Naor & Shir Meir Lador

Unsubscribe
Unsubscribe
Monthly
 
Unsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning. The podcast is aimed to data science profess ...
 
O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging ...
 
L
Learning Machines 101

1
Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Unsubscribe
Unsubscribe
Monthly
 
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that wil ...
 
Loading …
show series
 
When engineers train deep learning models, they are very much “flying blind”. Commonly used approaches for realtime training diagnostics, such as monitoring the train/test loss, are limited. Assessing a network’s training process solely through these performance indicators is akin to debugging software without access to internal states through a de…
 
Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, and Raghuram RamanujanAbstractReliable modeling of conditional densities is important for quantitative scientific fields such as particle physics. In domains outside physics, implicit quantile neural networks (IQN) have been shown to provide accurate models of conditional densities. We pres…
 
Exploring the inner growth lifestyle topic of the day; how the inner growth journey, mindset and lifestyle get you to see and pursue your explorations of this in cosmic consciousness; how it is always a choice at your disposal, accessible by you in any and all moments; what changes this brings to your life when faced with life moments and circumsta…
 
In this week’s episode, we’ll review results of a phase 2 study showing the beneficial effects of a first-in-class factor D inhibitor as add-on therapy in PNH patients who remain anemic and are transfusion-dependent despite C5 inhibition. Next, we’ll review the work of researchers who have developed a neural network that they say is highly accurate…
 
In this episode, I have invited Daniel Jue. This is his second time on the podcast. He is one of the youngest Entrepreneurs in the field of AGI. Daniel is an Independent Artificial General Intelligence researcher at Cognami in the US. Support the podcast on Patreon: https://www.patreon.com/thesciaipodcast Connect with Daniel Jue: LinkedIn: https://…
 
Nick talks to neuroscientist and writer Dr. Erik Hoel. Erik is a professor of biology at Tufts University. He received his PhD in neuroscience from the University of Wisconsin, where he studied under the sleep and consciousness researcher, Giulio Tononi. He did postdoctoral work at Columbia University, where he used information theory and other ana…
 
Exploring the inner growth lifestyle topic of the day; how the inner growth journey, mindset and lifestyle get you to see and pursue your explorations of this in cosmic consciousness; how it is always a choice at your disposal, accessible by you in any and all moments; what changes this brings to your life when faced with life moments and circumsta…
 
In this week’s episode, we’ll learn more about the efficacy of asciminib in patients with chronic myeloid leukemia who are resistant or intolerant to two or more tyrosine kinase inhibitors, discuss the role of dopamine signaling in hematopoietic stem and progenitor cell function, and learn more about elevated plasma concentration of complement fact…
 
Exploring the inner growth lifestyle topic of the day; how the inner growth journey, mindset and lifestyle get you to see and pursue your explorations of this in cosmic consciousness; how it is always a choice at your disposal, accessible by you in any and all moments; what changes this brings to your life when faced with life moments and circumsta…
 
Cam & Sam break down some rivalry week matchups in 2021 including Bedlam - OU @ Oklahoma State, Texas A&M @ LSU, Ohio State @ Michigan, Ole Miss @ Mississippi State, and Florida State @ Florida. Kudos to Mike Leach and Lane Kiffin for turning their programs around. We are 57.9% ATS in 517 games, and follow on twitter for free picks.…
 
Today we’re joined by friend-of-the-show Nasrin Mostafazadeh, co-founder of Verneek. Though Verneek is still in stealth, Nasrin was gracious enough to share a bit about the company, including their goal of enabling anyone to make data-informed decisions without the need for a technical background, through the use of innovative human-machine interfa…
 
Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. 2021: Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjeehttps://arxiv.org/pdf/2111.08872v1.pdf…
 
In this episode, I have invited one of the great scientists of our times - Lawrence Krauss. He is the most celebrated Theoretical physicist and cosmologist in the world- Lawrence Krauss. He is currently President of The Origins Project Foundation, which celebrates science and culture by connecting scientists, artists, writers, and celebrities with …
 
Exploring the inner growth lifestyle topic of the day; how the inner growth journey, mindset and lifestyle get you to see and pursue your explorations of this in cosmic consciousness; how it is always a choice at your disposal, accessible by you in any and all moments; what changes this brings to your life when faced with life moments and circumsta…
 
Nick talks to medicinal chemist Dr. David Olson, whose lab at the University of California-Davis studies a class of compounds called ‘psychoplastogens,’ which are small molecules capable of promoting neural plasticity. His lab is on the cutting edge when it comes to understanding the mechanisms by which psychedelics and other psychoactive drugs wor…
 
In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models s…
 
Kevin Systrom is the co-founder and former CEO of Instagram. Please support this podcast by checking out our sponsors: – Theragun: https://therabody.com/lex to get 30 day trial – NI: https://www.ni.com/perspectives – GiveWell: https://www.givewell.org/ and use code LEX to get donation matched up to $1k – Blinkist: https://blinkist.com/lex and use c…
 
Exploring the inner growth lifestyle topic of the day; how the inner growth journey, mindset and lifestyle get you to see and pursue your explorations of this in cosmic consciousness; how it is always a choice at your disposal, accessible by you in any and all moments; what changes this brings to your life when faced with life moments and circumsta…
 
Today we’re joined by Julie Shah, a professor at the Massachusetts Institute of Technology (MIT). Julie’s work lies at the intersection of aeronautics, astronautics, and robotics, with a specific focus on collaborative and interactive robotics. In our conversation, we explore how robots would achieve the ability to predict what their human collabor…
 
Lu Yuan and Dongdong Chen and Yi-Ling Chen and Noel Codella and Xiyang Dai and Jianfeng Gao and Houdong Hu and Xuedong Huang and Boxin Li and Chunyuan Li and Ce Liu and Mengchen Liu and Zicheng Liu and Yumao Lu and Yu Shi and Lijuan Wang and Jianfeng Wang and Bin Xiao and Zhen Xiao and Jianwei Yang and Michael Zeng and Luowei Zhou and Pengchuan Zha…
 
Minjae ParkAbstractIn general, Graph Neural Networks(GNN) have been using a message passing method to aggregate and summarize information about neighbors to express their information. Nonetheless, previous studies have shown that the performance of graph neural networks becomes vulnerable when there are abnormal nodes in the neighborhood due to thi…
 
Stefan Glock, David Munh\'a Correia and Benny SudakovAbstractAn $n$-queens configuration is a placement of $n$ mutually non-attacking queens on an $n\times n$ chessboard. The $n$-queens completion problem, introduced by Nauck in 1850, is to decide whether a given partial configuration can be completed to an $n$-queens configuration. In this paper, …
 
Jason Jooste, Michael Fromm, Matthias SchubertAbstractMonitoring of reforestation is currently being considerably streamlined through the use of drones and image recognition algorithms, which have already proven to be effective on colour imagery. In addition to colour imagery, elevation data is often also available. The primary aim of this work was…
 
Ching-An Cheng, Andrey Kolobov, Adith SwaminathanAbstractWe provide a framework for accelerating reinforcement learning (RL) algorithms by heuristics constructed from domain knowledge or offline data. Tabula rasa RL algorithms require environment interactions or computation that scales with the horizon of the sequential decision-making task. Using …
 
Jing Yang Lee, Kong Aik Lee, Woon Seng GanAbstractThe generation of personalized dialogue is vital to natural and human-like conversation. Typically, personalized dialogue generation models involve conditioning the generated response on the dialogue history and a representation of the persona/personality of the interlocutor. As it is impractical to…
 
Kai Yan and Jie Yan and Chuan Luo and Liting Chen and Qingwei Lin and Dongmei ZhangAbstractPrediction+optimization is a common real-world paradigm where we have to predict problem parameters before solving the optimization problem. However, the criteria by which the prediction model is trained are often inconsistent with the goal of the downstream …
 
Jean-Emmanuel Deschaud and David Duque and Jean Pierre Richa and Santiago Velasco-Forero and Beatriz Marcotegui and and Fran\c{c}ois GouletteAbstractParis-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments built by a mobile LiDAR and camera system. The data are composed of two sets with synthetic data from the open …
 
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin WangAbstractSocial network alignment aims at aligning person identities across social networks. Embedding based models have been shown effective for the alignment where the structural proximity preserving objective is typically adopted for the model training. With the obser…
 
Cameron Browne, \'Eric Piette, Matthew Stephenson, Dennis J.N.J. SoemersAbstractGame boards are described in the Ludii general game system by their underlying graphs, based on tiling, shape and graph operators, with the automatic detection of important properties such as topological relationships between graph elements, directions and radial step s…
 
Morteza Rezanejad, Sidharth Gupta, Chandra Gummaluru, Ryan Marten, John Wilder, Michael Gruninger, Dirk B. WaltherAbstractHumans are excellent at perceiving illusory outlines. We are readily able to complete contours, shapes, scenes, and even unseen objects when provided with images that contain broken fragments of a connected appearance. In vision…
 
Th\'eophile Champion, Howard Bowman, Marek Grze\'sAbstractActive inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. However, recent implementations suffer from an exponential (space and time) complexity class when computing the pri…
 
Micha{\l} Zawalski, B{\l}a\.zej Osi\'nski, Henryk Michalewski, Piotr Mi{\l}o\'sAbstractMulti-agent reinforcement learning (MARL) provides a framework for problems involving multiple interacting agents. Despite apparent similarity to the single-agent case, multi-agent problems are often harder to train and analyze theoretically. In this work, we pro…
 
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia VinogradskaAbstractBayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data. Its data efficiency can be further improved by transfer learning from related tasks. While recent transfer models meta-learn a prior …
 
Agostino Dovier, Andrea Formisano, Gopal Gupta, Manuel V. Hermenegildo, Enrico Pontelli, Ricardo RochaAbstractMulti-core and highly-connected architectures have become ubiquitous, and this has brought renewed interest in language-based approaches to the exploitation of parallelism. Since its inception, logic programming has been recognized as a pro…
 
Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek AbbottAbstractA backdoor deep learning (DL) model behaves normally upon clean inputs but misbehaves upon trigger inputs as the backdoor attacker desires, posing severe consequences to DL model deployments. State-of-the-art defenses are ei…
 
Jonas Fischer, Rebekka BurkholzAbstractThe lottery ticket hypothesis has sparked the rapid development of pruning algorithms that perform structure learning by identifying a sparse subnetwork of a large randomly initialized neural network. The existence of such 'winning tickets' has been proven theoretically but at suboptimal sparsity levels. Conte…
 
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis GotovosAbstractThe lottery ticket hypothesis conjectures the existence of sparse subnetworks of large randomly initialized deep neural networks that can be successfully trained in isolation. Recent work has experimentally observed that some of these tickets can be practically reused across…
 
Hanan SalamAbstractEngagement in Human-Machine Interaction is the process by which entities participating in the interaction establish, maintain, and end their perceived connection. It is essential to monitor the engagement state of patients in various AI-based healthcare paradigms. This includes medical conditions that alter social behavior such a…
 
J. D. Thomas, R. Santos-Rodr\'iguez, R. Piechocki, M. AncaAbstractThis paper considers cooperative Multi-Agent Reinforcement Learning, focusing on emergent communication in settings where multiple pairs of independent learners interact at varying frequencies. In this context, multiple distinct and incompatible languages can emerge. When an agent en…
 
Th\'eophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grze\'sAbstractOver the last 10 to 15 years, active inference has helped to explain various brain mechanisms from habit formation to dopaminergic discharge and even modelling curiosity. However, the current implementations suffer from an exponential (space and time) complexity class when…
 
SangHun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan KimAbstractHierarchical text classification (HTC) to a taxonomy is essential for various real applications butchallenging since HTC models often need to process a large volume of data that are severelyimbalanced and have hierarchy dependencies. Existing local and global approaches use dee…
 
Pradip Pramanick, Chayan Sarkar, Snehasis Banerjee, Brojeshwar BhowmickAbstractThe utility of collocating robots largely depends on the easy and intuitive interaction mechanism with the human. If a robot accepts task instruction in natural language, first, it has to understand the user's intention by decoding the instruction. However, while executi…
 
Christopher Diehl, Timo Sievernich, Martin Kr\"uger, Frank Hoffmann, Torsten BertranAbstractOffline reinforcement learning (RL) provides a framework for learning decision-making from offline data and therefore constitutes a promising approach for real-world applications as automated driving. Self-driving vehicles (SDV) learn a policy, which potenti…
 
Hung Guei, Lung-Pin Chen, and I-Chen WuAbstractTemporal difference (TD) learning and its variants, such as multistage TD (MS-TD) learning and temporal coherence (TC) learning, have been successfully applied to 2048. These methods rely on the stochasticity of the environment of 2048 for exploration. In this paper, we propose to employ optimistic ini…
 
Haobo Yuan, Teng Chen, Wei Sui, Jiafeng Xie, Lefei Zhang, Yuan Li, Qian ZhangAbstractEstimating the 3D structure of the drivable surface and surrounding environment is a crucial task for assisted and autonomous driving. It is commonly solved either by using expensive 3D sensors such as LiDAR or directly predicting the depth of points via deep learn…
 
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan1Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman AvestimehrAbstractFederated Learning (FL) is a distributed learning paradigm that can learn a global or personalized model from decentralized datasets on edge devices. However, in …
 
Loading …

Quick Reference Guide

Copyright 2021 | Sitemap | Privacy Policy | Terms of Service
Google login Twitter login Classic login