Podcasts about Convolution

Ralph and Ian Garlic dive into the intricacies of content creation in the digital age, exploring the delicate balance between algorithmic demands and authentic storytelling. He shares his insights on leveraging customer stories to climb the ranks, the enduring power of video content, and the nuances of marketing in the B2B landscape. We dissect the 'Hormozi effect' on content trends and discuss strategies for creating content that not only resonates with audiences but also stands the test of time. Chapters:00:00:00 - Ian Garlic Discusses Video Testimonials and Common Mistakes00:04:16 - Lessons from Walt Disney: The Power of Front Line Insights00:05:34 - The Key to Great Video: Unleashing the Power of Listening and Interviewing00:09:30 - Beast's 15-Year Journey from Basement to Billion: Overnight Success Unveiled00:12:54 - Unveiling the Truth Behind the Customer Journey Trap00:16:28 - Navigating the Conversion Conundrum: From Page Views to Email Form00:18:34 - How Marty's Social Media Agency Landed Major Clients with Customer Stories00:22:18 - Transforming Leads from Suck to Success: Unlocking the Power of Customer Stories00:28:07 - Transforming Businesses and Connecting Emotionally: The Power of Customer Stories00:30:01 - The Power of Conversations and Results in Marketing: Unlocking Client Success00:33:48 - Capturing the Right Attention: Avoiding Generalities in Your Marketing Strategy00:39:40 - Unraveling the Convolution of Views: Maximizing Audience Engagement00:41:49 - Driving Engagement and Harnessing the Algorithm: Unlocking the Power of YouTubeLINKS AND RESOURCES:Video Case StudyGary Vaynerchuck5 Important Takeaways from the 2023 Meta Brand Summit Part 1 | Perpetual Traffic EP 534Tier 11 JobsPerpetual Traffic on YouTubeTiereleven.comSolutions 8 Perpetual Traffic SurveyPerpetual Traffic WebsiteFollow Perpetual Traffic on TwitterConnect with Kasim on Twitter and Connect with Ralph on LinkedInThanks so much for joining us this week. Want to subscribe to Perpetual Traffic? Have some feedback you'd like to share? Connect with us on iTunes and leave us a review!Mentioned in this episode:Tier 11 CaAMP Schedule a Call

What is the story of Chibnall's era, in his own words? How did Chibnall see his job as showrunner? What is the arc of the Thirteenth Doctor, & what drove Chibnall to write it? What was putting Flux together under the pandemic like? What deeper meanings were behind the P'ting episode? We unpack these questions (and many more!) in a metacommentary looking at a new 2023 interview with Chibnall, the 2021 ‘Story Breakdown' video, and the audio commentaries for War of the Sontarans and The Tsuranga Conundrum. (00:00:00) Commentaries & convolution (00:05:42) WAR OF THE SONTARANS — pink planet (00:09:44) Sontarans on horses (00:11:07) Vinder's costume (00:18:22) Disparate Flux (00:20:24) World map plotting (00:21:37) Blood on Doctor Who (00:23:37) Captured in commentary (00:24:40) Jamie Magnus Stone & phones (00:28:27) Non-scripted combat (00:34:32) Reused sets (00:35:06) Thirteenth Doctor costuming (00:42:30) Mongolian inspiration (00:44:14) Sontaran staging (00:47:13) Karvanista reshoots (00:51:16) THE TSURANGA CONUNDRUM — the title (00:52:38) Doctor of Lego (00:57:13) Scientific speeches (01:04:33) Gender dynamics (01:14:29) Layers of meaning (01:29:38) CHIBNALL INTERVIEW — Radio Free Skaro, 2023 (01:32:12) Role of a showrunner (01:40:55) Diversity in Doctor Who + Timeless telos (02:03:43) Writers' rooms (02:19:03) Rosa Parks & Speed (02:25:20) Co-authoring scripts (02:28:50) Editing scripts (02:39:54) Less episodes of the show (02:47:47) Showrunner intent + festive specials (02:57:48) BBC treatment of Doctor Who + tangibility (03:14:27) Rumours, narratives, & K9 (03:19:12) Long-term plans + 60th anniversary (03:22:56) Pandemic & production (03:30:23) Series 13 possibilities (03:37:09) Spinoffs + summing up interview (03:48:10) FLUX STORY BREAKDOWN — novelty (03:52:57) Divison (03:54:18) Chibnall intent: arcs + emotional fallout (04:00:27) Finality (04:05:25) Tecteun + Timeless backstory (04:08:49) Emotional & psychological showdown (04:10:23) Mythic Doctor + dastardly Division (04:14:52) Evil experimentation (04:16:57) Explanations & imprecisions (04:20:41) Time & space (04:25:09) Motherhood & adoption (04:37:23) Literalised time (04:39:16) End of the Ravagers (04:42:32) Fob watch (04:44:40) Open to interpretation (04:48:45) Kicking the can (04:50:29) Ambiguity, identity, convolution… Continue reading →

Array Cast - March 3, 2023 Show NotesThanks to Bob Therriault and Adám Brudzewsky for gathering these links:[01] 00:01:26 Technium podcast https://www.youtube.com/watch?v=SUzMb5PdGBM[02] 00:03:42 Canadian Aboriginal Syllabics https://en.wikipedia.org/wiki/Canadian_Aboriginal_syllabics[03] 00:04:20 Newest APL Show episode: https://apl.show/2023/02/24/Primitives-Extravaganza.html[04] 00:04:40 Under: https://mlochbaum.github.io/BQN/doc/under.html Henry Rich Episode 6 https://www.arraycast.com/episodes/episode-06-henry-richs-deep-dive-into-j Henry Rich Episode 18 https://www.arraycast.com/episodes/episode18-henry-rich-presents-j903[05] 00:12:30 Amend J adverb https://code.jsoftware.com/wiki/Vocabulary/curlyrt#dyadic At Operator Dyalog https://apl.wiki/At[06] 00:16:20 History of J releases https://code.jsoftware.com/wiki/System/ReleaseNotes Winget https://learn.microsoft.com/en-us/windows/package-manager/winget/ J9.4.1 https://code.jsoftware.com/wiki/System/Installation#J9.4_release[07] 00:18:39 u t. https://code.jsoftware.com/wiki/Vocabulary/tdot[08] 00:22:00 Matrix Multiplication https://en.wikipedia.org/wiki/Matrix_multiplication Matrix Division https://en.wikipedia.org/wiki/Invertible_matrix LAPACK https://en.wikipedia.org/wiki/LAPACK[09] 00:29:40 Pyx https://code.jsoftware.com/wiki/Vocabulary/Glossary#Pyx[10] 00:33:00 CPU Cache https://en.wikipedia.org/wiki/CPU_cache[11] 00:36:22 Immutable objects https://en.wikipedia.org/wiki/Immutable_object[12] 00:43:15 Dyalog Primitive for running OS threads: https://docs.dyalog.com/latest/Parallel%20Language%20Features.pdf#page=11 Dyalog Primitive for running green threads: https://apl.wiki/Spawn[13] 00:46:20 Futex https://en.wikipedia.org/wiki/Futex Mutex https://en.wikipedia.org/wiki/Mutex[14] 00:53:18 GMP library https://en.wikipedia.org/wiki/GNU_Multiple_Precision_Arithmetic_Library Fourier Transform Multiplication https://en.wikipedia.org/wiki/Convolution_theorem[15] 00:55:05 New Error Messages https://github.com/jsoftware/dev_eformat Hook in J https://code.jsoftware.com/wiki/Vocabulary/hook Fork In J https://code.jsoftware.com/wiki/Vocabulary/fork[16] 01:05:25 John Daintree Token Debugging https://dyalog.tv/Dyalog22/?v=b2at0Sa8v3E Bob's Visual Debugger https://www.youtube.com/watch?v=iSpJxv1BUhI[17] 01:07:00 J's new u/..: https://code.jsoftware.com/wiki/Vocabulary/slashdot#dyadic Dyalog's Key: https://apl.wiki/Key[18] 01:11:40 J9.4.1 Release Notes https://code.jsoftware.com/wiki/System/ReleaseNotes/J9.4 J9.4.1 link https://code.jsoftware.com/wiki/System/Installation/J9.4[19] 01:16:29 JQt style editing https://code.jsoftware.com/wiki/Guides/Qt_IDE/Configure/Styles[20] 01:17:08 BQNPad https://bqnpad.mechanize.systems/[21] 01:18:10 Romilly Cocking "Solution by successive iteration" https://www.arraycast.com/episodes/episode34-romilly-cocking[22] 01:21:38 J Playground https://jsoftware.github.io/j-playground/bin/html2/[23] 01:23:12 Contact AT ArrayCast DOT Com[24] 01:23:35 J Fold Conjunction https://code.jsoftware.com/wiki/Vocabulary/fcap

01 Awali – Aqua Aura 02 Klára Čížková a Jan Komárek – Composition #9 03 Ladbuch & Pavel Richter – Stones from the Field 04 Marek Šebelka – Part 8 05 Michal Rataj & Oskar Török – C is for Convolution 06 Michal Kořán – Seherezada (In desert) 07 Lunė – When I Was in My Prime 08 Moonshye – Desert wind 09 Night Note – Mysterious Place 10 David Kollar & Arve Henriksen – Before the Rain 11 Ira Mimosa – La mer la terre

This week Paul and Mike discuss the top three beach-y crimes to pull on holiday break. Contact us at theperfectcrimepodcast.com.

This episode explores the world of making DIY reverbs and spaces to to put your music and sounds in. Some examples are given.

Convolution, pure and simple, is confusion. Find out how to clean up your language so it's less confusing.Grasshopper Notes are the inspired writings from America's Best Known Hypnotherapist John Morgan. His podcasts contain his most responded to essays and blog posts from the past two decades.  Find the written versions of these podcasts on John's website: https://grasshoppernotes.com​​  "The Grasshopper" the part of you that whispers pearls of wisdom that  seem to pop into your mind from out of the blue. John's essays and blog posts are his interpretations of these "Nips of Nectar." Others have labeled his writings as timeless wisdom.  Most of the John's writings revolve around self improvement and self help. They address topics like: • Mindfulness• Peace of mind• Creativity• How to stay in the present moment• Spirituality• Behavior improvementAnd stories that transform you to a wider sense of awareness that presents more options. And isn't that what we all want, more options?  John uploads these podcasts on a regular basis. So check back often to hear these podcasts heard around the world. Who wants to be the next person to change?  Make sure to order a copy of John's new book: WISDOM OF THE GRASSHOPPER – 21 Days to Creativity. These mini-meditations take you inside where all your creative resources live. And you'll come out not only refreshed but recommitted to creating your future.  It's only $16.95 and available at BLURB.COM at the link below. https://www.blurb.com/b/10239673-wisdom-of-the-grasshopperAlso, download John's FREE book INTER RUPTION: The Magic Key To Lasting Change. It's available at John's website  https://GrasshopperNotes.com And make sure to follow John on TWITTER at https://twitter.com/johnmorganhypno

I read from conveyorise to convolution.     The word of the episode is "convivial".     "The Dictionary - Letter A" on YouTube   "The Dictionary - Letter B" on YouTube   "The Dictionary - Letter C" on YouTube     Featured in a Top 10 Dictionary Podcasts list! https://blog.feedspot.com/dictionary_podcasts/     Backwards Talking on YouTube: https://www.youtube.com/playlist?list=PLmIujMwEDbgZUexyR90jaTEEVmAYcCzuq     dictionarypod@gmail.com https://www.facebook.com/thedictionarypod/ https://twitter.com/dictionarypod https://www.instagram.com/dictionarypod/ https://www.patreon.com/spejampar 917-727-5757

More money had been poured in crypto than any other year. #bitcoin #crypto #russia # ethereum --- Support this podcast: https://anchor.fm/cryptointuition/support

In this episode of Intel on AI host Amir Khosrowshahi, assisted by Dmitri Nikonov, talks with Ian Young about Intel's long-term research to develop more energy-efficient computing based on exploratory materials and devices as well as non-traditional architectures. Ian is Senior Fellow at Intel and the Director of the Exploratory Integrated Circuits in the Components Research. Ian was one of the key players in the advancement of dynamic and static random-access memory (DRAM, SRAM), and the integration of the bipolar junction transistor and complementary metal-oxide-semiconductor (CMOS) gate into a single integrated circuit (BiCMOS). He developed the original Phase Locked Loop (PLL) based clocking circuit in a microprocessor while working at Intel, contributing to massive improvements in computing power. Dimitri is a Principal Engineer in the Components Research at Intel. He works in the discovery and simulation of nanoscale logic devices and manages joint research projects with multiple universities. Both Ian and Dmitri have authored dozens of research papers, many together, in the areas of quantum nanoelectronics, spintronics, and non-Boolean architectures. In the podcast episode, the three talk about moving beyond CMOS architecture, which is limited by current density and heat. By exploring new materials, the hope is to make significant improvements in energy efficiency that could greatly expand the performance of deep neural networks and other types of computing. The three discuss the possible applications of ferroelectric materials, quantum tunneling, spintronics, non-volatile memory and computing, and silicon photonics. Ian talks about some of the current material challenges he and others are trying to solve, such as meeting operational performance targets and creating pristine interfaces, which mimic some of the same hurdles Intel executives Gordon Moore, Robert Noyce, and Andrew Grove faced in the past. He describes why he believes low-voltage, magneto-electric spin orbit (MESO) devices with quantum multiferroics (materials with coupled magnetic and ferroelectric order) have the most potential for improvement and wide-spread industry adoption. Academic research discussed in the podcast episode: A PLL clock generator with 5 to 110 MHz of lock range for microprocessors Clock generation and distribution for the first IA-64 microprocessor CMOS scaling trends and beyond Overview of beyond-CMOS devices and a uniform methodology for their benchmarking Benchmarking of beyond-CMOS exploratory devices for logic integrated circuits Tunnel field-effect transistors: Prospects and challenges Scalable energy-efficient magnetoelectric spin–orbit logic Beyond CMOS computing with spin and polarization Optical I/O technology for tera-scale computing Device scaling considerations for nanophotonic CMOS global interconnects Coupled-oscillator associative memory array operation for pattern recognition Convolution inference via synchronization of a coupled CMOS oscillator array Benchmarking delay and energy of neural inference circuits

In this episode of Health and Life Sciences at the Edge, host Tyler Kern speaks with Beenish Zia, an electrical engineer working as a platform architect in Health and Life Sciences at Intel, and Joy Yun, who interned in Health and Life Sciences at Intel, about the technological advances fueling the rapid expansion of the medical imaging industry. The U.S. Food and Drug Administration defines medical imaging as several different technologies used to view the human body to diagnose, monitor, or treat medical conditions. Each type of technology gives different types of information about the area of the body being studied or treated. Examples include Ultrasound, X-ray, magnetic resonance imaging (MRI), and computer tomography (CT). According to a market insights report by Research and Markets, the global medical imaging market size is expected to reach $28.6 billion by 2028. Zia attributes this rapid growth to advances in medical imaging hardware and software. “These advances include a variety of technical improvements,” says Zia, “from the devices that generate the raw data to how data is processed, stored, and transferred before it can be viewed by a radiologist or a healthcare technician.” - Three specific developments are driving advances in medical image processing: Convolutions and Cross-correlations: Software processes used to identify issues and refine, adjust, or modify image quality. - Parallel Programming: Allows the effective distribution of workloads over the computational resources available.- oneAPI Implementation: oneAPI is a cross industry, open standards-based, unified programming model that allows developers to write code in a common language, thereby enabling companies to code without having to learn three or more language constructs. “I believe oneAPI will provide developers with faster application performance, more productivity, and hopefully greater innovation effect,” says Yun. According to Zia, another major advantage to using oneAPI, including Intel's oneAPI implementation, is that it has the potential to end hardware-vendor lock-in. “Historically, when developers needed to move their application to a new hardware or target device based on a different architecture than what they were using, they would have to create an entirely new code base,” says Zia. “Those extra costs and delays are never welcome.” The goal of Intel's oneAPI implementation is threefold: - Increase application portability - Raise developer productivity - Deliver peak performance to high-growth applications in data centers, at the Edge, and in the Cloud. To learn more: - Connect with Beenish Zia on LinkedIn. - Take a look at these two white papers: - Fast Fourier Transform (FFT) and Convolution in Medical Image Reconstruction: https://www.intel.com/content/www/us/en/developer/articles/technical/fast-fourier-transform-and-convolution-in-medical-image-reconstruction.html - oneAPI for Healthcare: C++ to DPC++ Migration Example: https://www.intel.com/content/www/us/en/developer/articles/technical/oneapi-cpp-to-dpcpp-conversion.html?wapkw=beenish%20zia - Listen to our oneAPI in DevFest presentation with GE Healthcare: https://www.intel.com/content/www/us/en/events/developer/devfest-2021.html?videoId=6279852068001 - If you are a developer interested in using oneAPI, visit “oneAPI: A New Era of Heterogeneous Computing: https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html#gs.fgsjop Subscribe to this channel on Apple Podcasts, Spotify or Google Podcasts to hear more from the Intel Internet of Things Group.

Transformers have attracted increasing interests in computer vision, but they still fall behind state-of-the-art convolutional networks. In this work, we show that while Transformers tend to have larger model capacity, their generalization can be worse than convolutional networks due to the lack of the right inductive bias. To effectively combine the strengths from both architectures, we present CoAtNets (pronounced “coat” nets), a family of hybrid models. 2021: Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan https://arxiv.org/pdf/2106.04803v2.pdf

Classic: The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data. 2017: Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin BLEU, Transformer, Machine translation, Encoder, Convolution, Transduction (machine learning), Recurrent neural network, Image, Network architecture, Input/output, TensorFlow, Network Abstraction Layer, Artificial neural network https://arxiv.org/pdf/1706.03762.pdf

Watch the live stream: Watch on YouTube About the show Sponsored by us: Check out the courses over at Talk Python And Brian's book too! Special guest: Brett Cannon Michael #1: auto-optional by Daan Luttik Did you know that concrete types cannot be None in Python typing? This is wrong: def do_a_thing(extra_info: str = None): ... auto-optional will fix it: def do_a_thing(extra_info: Optional[str] = None): ... Why would you want this? Easily modify external libraries that didn't pay attention to proper use of optional to improve mypy linting. Force consistency in your own code-base: Enforcing that None parameter implies an Optional type. Run via the CLI: auto-optional [path] Brian #2: Making World-Class Docs Takes Effort Daniel Stenberg Six requirements for a project to get a gold star docs in the code repo NOT extracted from the code examples, lots of examples, more than you think you need document every API call you provide easily accessible and browsable and hopefully offline readable as well easy to contribute to Non-stop iterating is key to having good docs. extra goodness consistency for section titles cross-references I'd add Check for grammar and spelling mistakes Consistency in all things, formatting, style, tone, depth of info of diff topics Don't be afraid to have a personality. docs that include easter eggs, fun examples, tasteful jokes, etc are nice, as long as that fun stuff doesn't complicate the docs. Don't slam projects for having bad docs. Not all open source projects exist for your benefit. You can make them better by contributing. :) Brett #3: Starship Continuing the trend of stuff to help make your coding better, Python or not.

#involution​ #computervision​ #attention​ Convolutional Neural Networks (CNNs) have dominated computer vision for almost a decade by applying two fundamental principles: Spatial agnosticism and channel-specific computations. Involution aims to invert these principles and presents a spatial-specific computation, which is also channel-agnostic. The resulting Involution Operator and RedNet architecture are a compromise between classic Convolutions and the newer Local Self-Attention architectures and perform favorably in terms of computation accuracy tradeoff when compared to either. OUTLINE: 0:00​ - Intro & Overview 3:00​ - Principles of Convolution 10:50​ - Towards spatial-specific computations 17:00​ - The Involution Operator 20:00​ - Comparison to Self-Attention 25:15​ - Experimental Results 30:30​ - Comments & Conclusion Paper: https://arxiv.org/abs/2103.06255​ Code: https://github.com/d-li14/involution​ Abstract: Convolution has been the core ingredient of modern neural networks, triggering the surge of deep learning in vision. In this work, we rethink the inherent principles of standard convolution for vision tasks, specifically spatial-agnostic and channel-specific. Instead, we present a novel atomic operation for deep neural networks by inverting the aforementioned design principles of convolution, coined as involution. We additionally demystify the recent popular self-attention operator and subsume it into our involution family as an over-complicated instantiation. The proposed involution operator could be leveraged as fundamental bricks to build the new generation of neural networks for visual recognition, powering different deep learning models on several prevalent benchmarks, including ImageNet classification, COCO detection and segmentation, together with Cityscapes segmentation. Our involution-based models improve the performance of convolutional baselines using ResNet-50 by up to 1.6% top-1 accuracy, 2.5% and 2.4% bounding box AP, and 4.7% mean IoU absolutely while compressing the computational cost to 66%, 65%, 72%, and 57% on the above benchmarks, respectively. Code and pre-trained models for all the tasks are available at this https URL. Authors: Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick​ YouTube: https://www.youtube.com/c/yannickilcher​ Twitter: https://twitter.com/ykilcher​ Discord: https://discord.gg/4H8xxDF​ BitChute: https://www.bitchute.com/channel/yann...​ Minds: https://www.minds.com/ykilcher​ Parler: https://parler.com/profile/YannicKilcher​ LinkedIn: https://www.linkedin.com/in/yannic-ki...​ BiliBili: https://space.bilibili.com/1824646584​ If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick...​ Patreon: https://www.patreon.com/yannickilcher​ Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

This year your host wrote an original crime thriller for Audible Originals. Listen to the first chapter here, then go to Audible.com search for Convolution and you can listen to the rest of the story. Rhea Seehorn leads an incredible cast as cybercrimes detective Sydney Birch. This 10-part police drama begins in Los Angeles with an investigation into a group of con men using machine learning to improve their scams and ends in Tibet with a long con involving reincarnation and an evolved artificial intelligence.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.14.382655v1?rss=1 Authors: Coskun, M., Koyuturk, M. Abstract: Motivation: Link prediction is an important and well-studied problem in computational biology, with a broad range of applications including disease gene prioritization, drug disease associations, and drug response in cancer. The general principle in link prediction is to use the topological characteristics and the attributes--if available-- of the nodes in the network to predict new links that are likely to emerge/disappear. Recently, graph representation learning methods, which aim to learn a low-dimensional representation of topological characteristics and the attributes of the nodes, have drawn increasing attention to solve the link prediction problem via learnt low-dimensional features. Most prominently, Graph Convolution Network (GCN)-based network embedding methods have demonstrated great promise in link prediction due to their ability of capturing non-linear information of the network. To date, GCN-based network embedding algorithms utilize a Laplacian matrix in their convolution layers as the convolution matrix and the effect of the convolution matrix on algorithm performance has not been comprehensively characterized in the context of link prediction in biomedical networks. On the other hand, for a variety of biomedical link prediction tasks, traditional node similarity measures such as Common Neighbor, Ademic-Adar, and other have shown promising results, and hence there is a need to systematically evaluate the node similarity measures as convolution matrices in terms of their usability and potential to further the state-of-the-art. Results: We select 8 representative node similarity measures as convolution matrices within the single-layered GCN graph embedding method and conduct a systematic comparison on 3 important biomedical link prediction tasks: drug-disease association (DDA) prediction, drug-drug interaction (DDI) prediction, protein-protein interaction (PPI) prediction. Our experimental results demonstrate that the node similarity-based convolution matrices significantly improves GCN-based embedding algorithms and deserve more attention in the future biomedical link prediction Availability: Our method is implemented as a python library and is available at githublink Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.09.374165v1?rss=1 Authors: Lv, X., Chen, Z., Lu, Y., Yang, Y. Abstract: Oxford Nanopore sequencing is fastly becoming an active field in genomics, and it's critical to basecall nucleotide sequences from the complex electrical signals. Many efforts have been devoted to developing new basecalling tools over the years. However, the basecalled reads still suffer from a high error rate and slow speed. Here, we developed an open-source basecalling method, CATCaller, by simultaneously capturing global context through Attention and modeling local dependencies through dynamic convolution. The method was shown to consistently outperform the ONT default basecaller Albacore, Guppy, and a recently developed attention-based method SACall in read accuracy. More importantly, our method is fast through a heterogeneously computational model to integrate both CPUs and GPUs. When compared to SACall, the method is nearly 4 times faster on a single GPU, and is highly scalable in parallelization with a further speedup of 3.3 on a four-GPU node. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.06.189407v1?rss=1 Authors: Xu, S., Zhang, Y., Zhen, Z., Liu, J. Abstract: Can faces be accurately recognized with zero experience on faces? The answer to this question is critical because it examines the role of experiences in the formation of domain-specific modules in the brain. However, thorough investigation with human and non-human animals on this issue cannot easily dissociate the effect of the visual experience from that of genetic inheritance, i.e., the hardwired domain-specificity. The present study addressed this problem by building a model of selective deprivation of the experience on faces with a representative deep convolutional neural network (DCNN), AlexNet. We trained a new AlexNet with the same image dataset, except that all images containing faces of human and nonhuman primates were removed. We found that the experience-deprived AlexNet (d-AlexNet) did not show significant deficits in face categorization and discrimination, and face-selective modules also automatically emerged. However, the deprivation made the d-AlexNet to process faces in a more parts-based fashion, similar to the way of processing objects. In addition, the face representation of the face-selective module in the d-AlexNet was more distributed and the empirical receptive field was larger, resulting in less degree of selectivity of the module. In sum, our study provides undisputable evidence on the role of nature versus nurture in developing the domain-specific modules that domain-specificity may evolve from non-specific stimuli and processes without genetic predisposition, which is further fine-tuned by domain-specific experience. Copy rights belong to original authors. Visit the link for more info

Conrad Bradford joins Tom again in this pre-Covid-19 Capsule | Cabana Show from New York City. In this final episode of our New York Fashion series Tom and Corad talk to Coevolution designer Miaoyi Shu and Child of The Universe designer Brenda Marine. Child of the Universe NYC was founded in 2015 with the intention to create high quality and fashionable pieces that allowed customers to express themselves and their believes. Currently, Ana Wakeman is the founder and CEO of Child of the Universe NYC. Designers Coevolution Child of the Universe NYC Venue Cabana Show MUSIC  BACKGROUND: “Music by longzijun” Unfolded16-sanintro-theme23 SONG Pressure by Brandon Need Daly from Pond 5 Publiser: All The Right Moves SPONSER Black Glove Store MERCHANDISE Hug The Pug UnCommonCore Podcast

Cnn are the foundation of object recognition and a form of deep learning

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.04.24.060657v1?rss=1 Authors: Zhang, Y., Tetrel, L., Thirion, B., Bellec, P. Abstract: A key goal in neuroscience is to understand the brain mechanisms of cognitive functions. An emerging approach is brain decoding, which consists of inferring a set of experimental conditions performed by a participant, using pattern classification of brain activity. Few works so far have attempted to train a brain decoding model that would generalize across many different cognitive tasks drawn from multiple cognitive domains. To tackle this problem, we proposed a domain-general brain decoder that automatically learns the spatiotemporal dynamics of brain response within a short time window using a deep learning approach. By leveraging our prior knowledge on network organization of human brain cognition, we constructed deep graph convolutional neural networks to annotate cognitive states by first mapping the task-evoked fMRI response onto a brain graph, propagating brain dynamics among interconnected brain regions and functional networks, and generating state-specific representations of recorded brain activity. We evaluated the decoding model on a large population of 1200 participants, under 21 different experimental conditions spanning 6 different cognitive domains, acquired from the Human Connectome Project task-fMRI database. Using a 10s window of fMRI response, the 21 cognitive states were identified with a test accuracy of 89% (chance level 4.8%). Performance remained good when using a 6s window (82%). It was even feasible to decode cognitive states from a single fMRI volume (720ms), with the performance following the shape of the hemodynamic response. Moreover, a saliency map analysis demonstrated that the high decoding performance was driven by the response of biologically meaningful brain regions. Together, we provide an automated tool to annotate human brain activity with fine temporal resolution and fine cognitive granularity. Our model shows potential applications as a reference model for domain adaptation, possibly making contributions in a variety of domains, including neurological and psychiatric disorders. Copy rights belong to original authors. Visit the link for more info

A lot of musicians, suddenly faced with no opportunities for public performance, are opting to stream live from their homes. Andy Doe joins us to discuss what it means for all the musicians to have to build streaming studios in their homes from scratch, and gives tips on how best to set up cameras, lights, and microphones. Guest: Andy Doe (https://properdiscord.com) Show notes: Tim Cook's video (https://twitter.com/tim_cook/status/1246916489589837824?s=20) Rode NT-USB Mini (https://amzn.to/3ciY6nV), a small, inexpensive USB microphone with good audio quality May Morning - Magdalen College (https://www.magdalencollegechoir.com/may-morning-) Impulse response reverb (https://en.wikipedia.org/wiki/Convolution_reverb) Alex Ross's COVID-19 livestream list (https://www.therestisnoise.com/2020/03/covid-19-live-streams.html) Our next tracks: Lou Reed: Street Hassle (https://amzn.to/39XTeCP) DEVO: Duty Now For The Future (https://amzn.to/2wscEC7) If you like the show, please subscribe in iTunes (https://itunes.apple.com/podcast/the-next-track/id1116242606) or your favorite podcast app, and please rate the podcast.

My awesome guest is Pascal Wyse! He does sound design, mixing and musical composition for Cautionary Tales (podcast). He wrote the theme tune for Folsom Untold - an Audible series about Johnny Cash’s prison gig, and also did sound design for that. And among many other credits, he also worked on Haunted for Panoply. Here's a fraction of what we discussed: Keeps different cues in different DAW sessions. (Some folks write their music in Logic and then ProTools has the main session) Reaper sub-projects: Opens up as a tab - another working session, the same length as the Master session, when you save it renders and inserts it into the Master session.  For creating atmosphere/space: Altiva Convolution reverb Mixes on speakers, and for final pass he monitors on headphones.  Genelec 1029 with Genelec Subwoofer Headphones: Beyerdynamic DT990’s Microphones: Sennheiser MKH range mics, DPA Lavalier mics (tiny, can get them into extraordinary places) Double mid-side!!!  Parabolic mic, mounted inside a satellite dish thingy, the most isolated sound you can get! Field recorders: Sonosax (swiss company, light, clean preamps), Aaton Cantar X3, used to use Sound Devices stuff. He's very into field recording He uses Sonarworks Fabfilter plugins - EQ, compressor,  Waves Scheps 73 EQ iZotope RX Tim Harford’s voice processing for Cautionary Tales: No cleanup, Fabfilter Pro Q-3, Fabfilter C-2 (Pro Voice preset which uses parallel compression), Vocal Rider (He fed the sidechain with the background music! Stopped the feeling of a sound being crushed and not coming through.) For voice actors: AudioEase - “Indoor” plugin (sounds realistic, panned L&R a little bit), Speakerphone plugin Convolution reverb: Engineers have gone into a space and recorded the response of the actual space.  Parabolic mics: https://www.telinga.com Schoeps mics: https://schoeps.de/en.html DPA mics: https://www.dpamicrophones.com Mixing with Mike: https://www.mixingwithmike.com Amazing sound recordist Chris Watson: https://chriswatson.net Workflow for Cautionary Tales:  Table read Tim will record his parts, he will read in actor lines Receives files (REALLY likes it when they get CLEAN dialogue takes, so he doesn’t have to stress over that aspect of production) Brings files into DAW, makes markers where he might want to put things,  Put in theme music Some library sounds here and there What worlds are people in and do we need to hear that world?  Uses “mastering” effects Sends out the mix Gets feedback and makes changes Thanks for being a great guest, Pascal! DID YOU KNOW........We exist for the purpose of helping you, so please comment below with any questions or remarks. We appreciate you listening. Want to Start a Business or Have a Career as a Podcast Producer/Engineer? Listen and Subscribe in Apple Podcasts, Spotify, Pandora, Google Podcasts, iHeartRadio, Stitcher, TuneIn, Android, RSS, Email  

This will be the last new world before the new year! We are taking off for christmas and new years but there are big plans cooking for the new year. Thank you for an absolutely successful year, we truly appreciate you listening. On this fun world building episode the boys build worlds about cloning. Jordan does his usual and Cody brings in some fun surprises. Enjoy!~   If you have any suggestion, Feed back, or world ideas, please E-mail us @ worldshoppodcast@gmail.com You can find us on twitter @Worldshop20 Rate and Subscribe on Itunes https://podcasts.apple.com/us/podcast/world-shop/id1357833273 You can now find us on Stitcher and Spotify, and Google Play! Check us out at: https://wanderinggamer.wixsite.com/wanderinggamer Follow us on Twitter @Worldshop20 Icon Art By Mandi Intro Theme:De Jongens Met De Zwarte Schoenen - RoccoW & XYCE Outro Theme: Nontinde Vendor Theme - RoccoW Check out Rocco's Music @https://soundcloud.com/roccow

The hosts of the Otaku Spirit Animecast sit down to discuss, oddly enough, the most complicated genre to really nail down. The Slice of Life Genre seems to cover everything, but some argue doesn’t cover much. Listen and get the hosts’ take. Topics Covered in this Episode: What is Slice of Life, The Convolution of the Genre, Opinion Against Sub-Genres, Opinions Against Unnatural Elements in Slice of Life, What Slice of Life Means To You, Pros and Cons of Slice of Life, and breaking down several shows on their validity of Slice of Life label. The opening song for this episode is the OP1 for Hanasaku Iroha called “Hana no Iro” by nano.RIPE. The closing for this episode is the ED for Showa Genroku Rakugo Shinju called “Kawa, Taredoki” by Kana Shibue.

On today’s show, the guys talk Adam Warlock and Keanu Reeves rumors in the MCU.

Hello petit coquinou !! Tu attendais patiemment ton émission préférée et rassure toi, elle arrive :) Tu vas pouvoir enfin découvrir toutes les news de Cédric, même s’il s’est refréné, sinon, tu le connais, il pourrait faire une émission entière rien qu’avec des news !! Comme il a laissé du temps, je me suis permise d’étoffer un peu la section “et en dehors du jeu mobile, vous faites quoi ?” du coup, en plus, de nos petits jeux mobiles, j’ai deux jeux PC dans ma pochette !! Bref, je te laisse découvrir tout ça. Bisous petit coquinou ! News: Battle Chasers: Nightwar aura sa version mobile. (Vidéo) Ailment de Beardybird lance son Kickstarter Marginalia Hero un jeu d'aventure au graphisme datant de 5 siècles. (iOS) Gunslugs:Rogue Tactics (Site) Résumé conférence Google Stadia Un peu de Nintendies Tipeee Avis: Julie: Lemmings : Le jeu officiel ! iOS Android Cédric: Convolution Android Vidéo Et en dehors du jeu mobile, vous faites quoi ? Pathfinder Kingmaker sur steam Two Point Hospital steam Où nous retrouver : ​ la page fan Facebook : gamesinthepocket Twitter : @gamespocket Contact : contact@gamesinthepocket.fr Tapewrite Notre Tipeee itunes La musique du générique est The Dark Abode of Power: dark, gloomy, aggressive, raw, diabolic par Kranto studijos découvert sur Jamendo.

A grizzled producer and his gang head to an island retreat with a haul of 250 valuable 8x10s to lay low; however, an up and coming filmmaker arrives to further complicate things, as allegiances are put to the test! On Episode 339 of Trick or Treat Radio we discuss Let the Corpses Tan, the latest film from the filmmaking duo Hélène Cattet and Bruno Forzani! We also have talk with filmmaker Chris von Hoffman, director of Monster Party and Drifter! We attempt to tackle Eurocrime, we hear about Marz’s latest scarf mishap, and we talk about some of the best working filmmakers today! So grab your glitterbombs, tighten that scarf around your neck and strap on for the world’s most dangerous talk radio show!Stuff we talk about: Mama Marz, Moment Superfish Lens, Live Trick or Treat Radio, Survival of the Film Freaks, Laughing Prince Adam, Jiffy Lubed, Mr. Gerbik, The Strange Color of Ravenshadow’s Lungs, Stan Hansen, Marz’s scarf mishap, Tom Baker Dr. Who, Marz’s mid-life crisis, auto-erotic asphyxiation, the ol’ tongue in the gashole, Burger King, 1 or 2 whoppers, Agent 99,Uno’s vs. 99, low rent Gwen Stefani, who is the youngest looking host?, Spike’s Junkyard Dogs, Coney Island, drunk Ares, Ponch and John, Ravenshadow’s workout routine, treat yo self, The Buzzcast, Let the Corpses Tan, Helene Cattet, Bruno Forzani, Amer, The Strange Color of Your Body’s Tears, Euro-Crime, Boob Juice, Giallo, 8x10s, Alejandro Jodorowsky, 70s Italian Filmmaking, hot tag, “Dimension”, Did Ravenshadow watch the movie?, glitterbombs, Never Nude and Double Dressed, Lady Gaga, Mads Mikkelsen, When I Think of Eurocrime I Touch Myself, Polar, Monster Party, Drifter, Chris von Hoffmann, blood on the ceilings, Robin Tunney, Lance Reddick, Julian McMahon, bait and switch, 80s slasher flicks, Society, Brian Yuzna, Sleepaway Camp II, Pamela Springsteen, Hello Mary Lou: Prom Night II, Grotesque, The Monster, A24, Cadbury Eggs, Universal Soldier: Day of Reckoning, Todd McFarlane, Primal Rage, best working filmmakers, New England Patriots, Fangoria Presents: The Narrow Caves, Will Patton, paperback horror novels, Vincent D’Onofrio, Eurocrime! The Italian Cop and Gangster Films That Ruled the 70s, Mike Malloy, Franco Nero, John Saxon, Fernando Di Leo, Mandy, SpectreVision, Richard Stanley, and H.P. Lovecraft.Send Email/Voicemail: podcast@trickortreatradio.comVisit our website: http://trickortreatradio.comUse our Amazon link: http://amzn.to/2CTdZzKFB Group: http://www.facebook.com/groups/trickortreatradioTwitter: http://twitter.com/TheDeaditesFacebook: http://facebook.com/TheDeaditesYouTube: http://youtube.com/TheDeaditesTVInstagram: http://instagram.com/TheDeaditesBuy our music on Bandcamp: http://thedeadites.bandcamp.comSupport the show (https://www.patreon.com/trickortreatradio)

L’ingrato compito di sistemare le foto delle vacanze della suocera porta AlexGì a pensare se possa esistere un modo per raddrizzare in automatico centinaia di foto. Scattate male.Ad ogni modo mi trovate qui:https://t.me/technopillzriothttps://twitter.com/alxgihttp://www.alexraccuglia.netSostenete Runtime Radio: http://runtimeradio.it/ancheio/Caffe Riot: https://www.spreaker.com/show/3147620

L’ingrato compito di sistemare le foto delle vacanze della suocera porta AlexGì a pensare se possa esistere un modo per raddrizzare in automatico centinaia di foto. Scattate male.Ad ogni modo mi trovate qui:https://t.me/technopillzriothttps://twitter.com/alxgihttp://www.alexraccuglia.netSostenete Runtime Radio: http://runtimeradio.it/ancheio/Caffe Riot: https://www.spreaker.com/show/3147620

Videopals is back for 2017 with an epic rundown of the hottest new titles in gaming all year long, babie!!!!

AWS CodeDeployTerraformDockerKubernetesEinsteinSemiringWeighted Finite-State Transducer Algorithms An OverviewWeighted Finite-State Transducers in Speech RecognitionApplying Graph Theory to Infrastructure as CodeTerraform ModulesVagrantVaultNeo4jGraphQLNFADFAComonads and Day Convolution

Multiband Sound Design, Creating Supersaws, & using Convolution reverb for unique sound design, with Crystal Skies. Patreon: m.me/itdbtd?ref=btd_Patreon Artist Suggestions: m.me/itdbtd?ref=BTDsuggestion Private lessons: m.me/itdbtd?ref=privatelesssons Free Consultation: m.me/itdbtd?ref=fmlu In The DAW Playlist: tinyurl.com/instagramitdplaylist Behind The DAW Playlist: tinyurl.com/btdinstagram You can contact me at Wyatt@behindthedaw.net

In linear time-invariant systems, breaking an input signal into individual time-shifted unit impulses allows the output to be expressed as the superposition of unit impulse responses. Convolution is the general method of calculating these output signals.

This lecture covers circular convolution of finite length sequences. It discusses interpretation of circular convolution as linear convolution followed by aliasing, and describes implementation linear convolution by means of circular convolution.

Preaching to Hollywood with David Bowe’s Lazarus, we also trace the story of a UK Pentecostalist turned atheist. Finally we sit at the feet of the Department of Convolution to learn a thing or two about Table Talk Radio.

This is one of two conversations which Gudrun Thäter recorded alongside the conference Women in PDEs which took place at our Department in Karlsruhe on 27-28 April 2017. Maria Lopez-Fernandez from the University La Sapienza in Rome was one of the seven invited speakers. She got her university degree at the University of Valladolid in Spain and worked as an academic researcher in Madrid and at the University of Zürich. Her field of research is numerical analyis and in particular the robust and efficient approximation of convolutions. The conversation is mainly focussed on its applications to wave scattering problems. The important questions for the numerical tools are: Consistency, stability and convergence analysis. The methods proposed by Maria are Convolution Quadrature type methods for the time discretization coupled with the boundary integral methods for the spatial discretization. Convolution Quadrature methods are based on Laplace transformation and numerical integration. They were initially mostly developed for parabolic problems and are now adapted to serve in the context of (hyperbolic) wave equations. Convolution quadrature methods introduce artificial dissipation in the computation, which stabilzes the numerics. However it would be physically more meaningful to work instead with schemes which conserve mass. She is mainly interested in fast algorithms with reduced memory requirements and adaptivity in time and space. The motivational example for her talk was the observation of severe acoustic problems inside a new building at the University of Zürich. Any conversation in the atrium made a lot of noise and if someone was speaking loud it was hard to understand by the others. An improvement was provided by specialised engineers who installed absorbing panels. From the mathematical point of view this is an nice application of the modelling and numerics of wave scattering problems. Of course, it would make a lot of sense to simulate the acoustic situation for such spaces before building them - if stable fast software for the distribution of acoustic pressure or the transport of signals was available. The mathematical challenges are high computational costs, high storage requirements and and stability problems. Due to the nonlocal nature of the equations it is also really hard to make the calculations in parallel to run faster. In addition time-adaptive methods for these types of problems were missing completely in the mathematical literature. In creating them one has to control the numerical errors with the help of a priori and a posteriori estimates which due to Maria's and others work during the last years is in principle known now but still very complicated. Also one easily runs into stability problems when changing the time step size. The acoustic pressure distribution for the new building in Zürich has been sucessfully simulated by co-workers in Zürich and Graz by using these results together with knowledge about the sound-source and deriving heuristic measures from that in order to find a sequence of time steps which keeps the problem stable and adapt to the computations effectively. There is a lot of hope to improve the performance of these tools by representing the required boundary element matrices by approximations with much sparser matrices. References M. López Fernández, S. Sauter: Generalized Convolution Quadrature with Variable Time Stepping. Part II: Algorithm and Numerical Results. Applied Numerical Mathematics, 94, pp. 88 - 105 (2015) M. López Fernández, S. Sauter: Generalized Convolution Quadrature based on Runge-Kutta Methods. Numerische Mathematik, 133 (4), pp. 734 - 779 (2016) S. Sauter, M. Schanz: Convolution Quadrature for the Wave Equation with Impedance Boundary Conditions. Journal of Computational Physics, Vol 334, pp. 442 - 459 (2017) Podcasts T. Arens: Lärmschutz, Gespräch mit S. Ritterbusch im Modellansatz Podcast, Folge 16, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2014. F. Sayas: Acoustic Scattering, Conversation with G. Thäter in the Modellansatz Podcast, Episode 58, Department of Mathematics, Karlsruhe Institute of Technology (KIT), 2016.

This is one of two conversations which Gudrun Thäter recorded alongside the conference Women in PDEs which took place at our Department in Karlsruhe on 27-28 April 2017. Maria Lopez-Fernandez from the University La Sapienza in Rome was one of the seven invited speakers. She got her university degree at the University of Valladolid in Spain and worked as an academic researcher in Madrid and at the University of Zürich. Her field of research is numerical analyis and in particular the robust and efficient approximation of convolutions. The conversation is mainly focussed on its applications to wave scattering problems. The important questions for the numerical tools are: Consistency, stability and convergence analysis. The methods proposed by Maria are Convolution Quadrature type methods for the time discretization coupled with the boundary integral methods for the spatial discretization. Convolution Quadrature methods are based on Laplace transformation and numerical integration. They were initially mostly developed for parabolic problems and are now adapted to serve in the context of (hyperbolic) wave equations. Convolution quadrature methods introduce artificial dissipation in the computation, which stabilzes the numerics. However it would be physically more meaningful to work instead with schemes which conserve mass. She is mainly interested in fast algorithms with reduced memory requirements and adaptivity in time and space. The motivational example for her talk was the observation of severe acoustic problems inside a new building at the University of Zürich. Any conversation in the atrium made a lot of noise and if someone was speaking loud it was hard to understand by the others. An improvement was provided by specialised engineers who installed absorbing panels. From the mathematical point of view this is an nice application of the modelling and numerics of wave scattering problems. Of course, it would make a lot of sense to simulate the acoustic situation for such spaces before building them - if stable fast software for the distribution of acoustic pressure or the transport of signals was available. The mathematical challenges are high computational costs, high storage requirements and and stability problems. Due to the nonlocal nature of the equations it is also really hard to make the calculations in parallel to run faster. In addition time-adaptive methods for these types of problems were missing completely in the mathematical literature. In creating them one has to control the numerical errors with the help of a priori and a posteriori estimates which due to Maria's and others work during the last years is in principle known now but still very complicated. Also one easily runs into stability problems when changing the time step size. The acoustic pressure distribution for the new building in Zürich has been sucessfully simulated by co-workers in Zürich and Graz by using these results together with knowledge about the sound-source and deriving heuristic measures from that in order to find a sequence of time steps which keeps the problem stable and adapt to the computations effectively. There is a lot of hope to improve the performance of these tools by representing the required boundary element matrices by approximations with much sparser matrices. References M. López Fernández, S. Sauter: Generalized Convolution Quadrature with Variable Time Stepping. Part II: Algorithm and Numerical Results. Applied Numerical Mathematics, 94, pp. 88 - 105 (2015) M. López Fernández, S. Sauter: Generalized Convolution Quadrature based on Runge-Kutta Methods. Numerische Mathematik, 133 (4), pp. 734 - 779 (2016) S. Sauter, M. Schanz: Convolution Quadrature for the Wave Equation with Impedance Boundary Conditions. Journal of Computational Physics, Vol 334, pp. 442 - 459 (2017) Podcasts T. Arens: Lärmschutz, Gespräch mit S. Ritterbusch im Modellansatz Podcast, Folge 16, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2014. F. Sayas: Acoustic Scattering, Conversation with G. Thäter in the Modellansatz Podcast, Episode 58, Department of Mathematics, Karlsruhe Institute of Technology (KIT), 2016.

Calvary Baptist Church

Listen to see what happens when a simple little ditty meets convolution reverb. It may well be magic.

Listen to see what happens when a simple little ditty meets convolution reverb. It may well be magic.

This week we explore the spaces of sound talking about convolution reverberation and how it can recreate the sound of real spaces. From La Scala in Milan to underground cisterns in Washington state, we dive deep to listen to space, and find that the space shapes more of what we hear than we might otherwise think! With several tracks from the very cool experimental group Telegraphy and our own live recording from the SARC, enjoy being immersed in the sound, and let it reverberate everything around you! Show notes as always over at www.bansheemedia.com Telegraphy tracks from freemusicarchive.org and they include: Infernal Convolution Hearts, Made In Detroit Distorted Reflections When Sounds Are Meaningless Sustain from Sympathetic Resonance LIVE @Sonorities Festival, 2017, performed by yours truly.

Al and Tony review the multithreaded story from director Guy Ritchie, Snatch. Then they review some of the week's trailers, and Albert talks about his plumbing problems. Links: 12 Monkees Kalifornia Revolver The Man from Undle Rings John Wick Chapter 2 Dirt Block 74 Resident Evil: The Final Chapter PEX pipe

When the input force is an impulse, the output is the impulse response. For all inputs the response is a "convolution" with the impulse response.

This is a PREMIUM EP.. recorded live. The track here is, what is normally, the free bonus track of Andy and I discussing the show. So give me $2 for the whole thing on Here is a clip of the show:  Live at Convolution 2015 Landry Walker (@landryQwalker) has written comics for tiny children and NOT FOR TINY CHILDREN. Danger Club is a grown up story of teen superheroes trying to figure out where the whole community went wrong. It’s bloody; it’s great. This is a premium episode so give me $2 for the whole thing on We all know I have an hour comedy special out and you can download it here: or get the DVD on my site. It’s called “This Will Make An Excellent Horcrux” because comedy is all about soul ;) … Own it today and forever. . It’s NOVEMBER… Donate to your LOCAL FoodBank In January I’ll bug you for donations to the dork forest again. You can still support the show in other ways, talk us up! Get a shirt or CD/DVD at or - USE THE AMAZON banner when you order your own dorky goodness.That's a thing. Credits: Audio leveling by Music is by Website design by : Really good Web designs.

Prof. Haynes Miller demonstrates the Convolution Accumulation Applet.

Bryan demonstrates some vocal effects (Convolution reverb!) before playing a panel recording from Baticon 49, entitled “Beyond Creative Commons”. Show notes: Claustrofobia(sic) impulses

A teaching assistant works through a problem on convolution and Green's formula.

This lecture video discusses representation of signals in terms of impulses. Linear, time-invariant (LTI) systems, properties and representation.

Each show I ask an electronic music producer to select some tracks that are important to them: (1) Track/s that influenced their starting to make music (2) Track/s that have blown them away recently (3) Their favourite own production(s) This week - interview and selections from Thomas Barnett, Detroit Part 1 - Interview & Selections from Thomas Barnett Illektrolab & 4th Genome - Bass Agenda Intro Thomas Barnett - Death of Love Thomas Barnett - Re-synthesize Cybotron - Cosmic Cars Kraftwerk - Numbers Rythim Is Rythim - Nude Photo Thomas Barnett - Ravish Octave One - Nicolette Chance McDermott - Eternity Thomas Barnett - Daybreak Thomas Barnett - Friday (Night mix) DJ Skull - Revenge of The Synth Orlando Voorn - Black Diamond Robert Hood - Shaker T.Linder - Sugar Sugar Salt Salt Thomas Barnett - Do Bionics Crystalize? (Remastered) Part 2 - Guest mix from Thomas Barnett 1) Los Hermanos - "RESURRECTION" 2) Vince Watson - "PLANET FUNK" 3) Skudge - "CONVOLUTION" 4) Floorplan - "BABY, BABY" 5) Aril Brikha - "MORE HUMAN" 6) Oxia - "WHOLE LIFE" 7) Samuel L & Martin H - "BLACK FLY PT. 2" 8) Drexciya - "LOST VESSEL" 9) Santonio - "THE HOLY GHOST (ANDREW RED HAND REMIX)" 10) Thomas Barnett - "ORIGINAL DAY" 11) Robert Babicz - "DARK FLOWER"

The Doctor and his latest replaceable companion Christie travel to Cardiff to meet a new old friend, but a new old enemy from the Time War has other ideas.Narrated by - Jon GransdenWritten by - Joel H JoelsonMusic - Billy TreacyTheme Tune - Daniel SherrattSound Design - Billy TreacyCover Art - Billy TreacyOriginally Released: 10th April 2014

The Doctor and his latest replaceable companion Christie travel to Cardiff to meet a new old friend, but a new old enemy from the Time War has other ideas.Narrated by - Jon GransdenWritten by - Joel H JoelsonMusic - Billy TreacyTheme Tune - Daniel SherrattSound Design - Billy TreacyCover Art - Billy TreacyOriginally Released: 27th March 2014

Burenkov, V (Cardiff University) Friday 14 February 2014, 09:45-10:30

This episode, Kevin and Dune are joined by Demi Bill and Mary Anne and welcome Erik Bigglestone from Con-Volution. Topics include Conventions, beverages, and everything geek pop culture.

Steven Brust worked as a musician and a computer programmer before coming to prominence as a writer in 1983 with Jhereg, the first of his novels about Vlad Taltos, a human professional assassin in a world dominated by long-lived, magically-empowered, humanlike “Dragaerans.” He is a guest of honor for Convolution 2012. Our first all-Stev/phen podcast!

H. DE BIE and N. De Schepper

January was Nerd Month at JackalCast Headquarters. The Stephens recount their astonishing adventures at CES, MacWorld/iWorld, FurCon, the Nerdist Podcast, and w00tstock, and make an exciting announcement about Convolution.

Lecture 13 discusses signal processing, aliasing and anti-aliasing, Fourier transforms, convolution and the Shannon sampling theorem.

We learned in continuous linear systems how the convolution integral is defined.

So far everything we have done has considered functions of only one independent variable, namely f(x). However, in much of optics, we have to deal with functions of two spatial variables, for example f(x, y). In this course we are only going to work with two coordinate systems. Primarily we are going to consider rectangular coordinates, i.e. x and y. However, occasionally we will also consider polar coordinates, g(ρ, φ). We will strive whenever possible to identify the coordinate system where our function is separable.

1. Definition of Convolution; 2. Graphical Convolution

Gamba, I (Texas at Austin) Tuesday 12 October 2010, 14:00-14:45

Banjai, L (Max-Planck-Institut fur Mathematik, DE) Tuesday 14 September 2010, 18:00-18:30