Podcasts about manifolds

Keith Wilson of Wilson Manifolds joins Keith Jones and Joe Castello for a deep dive into air flow and intake manifold technology. Wilson details his career and involvement with racing teams from NHRA Drag Racing, NASCAR, Indy Car, and even off-shore power boats. Keith Wilson even drops a Dale Earnhardt story! There is a lot to learn on this episode of Hidden Horsepower.

Vincent is the Corporate Accounts Manager of Famic Technologies, which manufactures Automation Studio™, a circuit design and simulation software for fluid power, electrical, and automation projects. Daniel is the Director of Canadian Sales at Bailey International, which provides complete mobile hydraulic solutions in both standard and custom component configurations. Prior to that, Daniel worked at Hydrolico International, who Bailey recently acquired. Today, we invited them into our forum to learn more the crucial role that hydraulic manifolds play in fluid power systems and about the unique software packages that help design and manufacture them.  Connect with Vincent: vremillard@famictech.com  Connect with Daniel: dstrati@hydrolico.com  Connect with the host, Eric Lanke, at elanke@nfpa.com or on LinkedIn at the National Fluid Power Assosication.   

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.18.549575v1?rss=1 Authors: Fortunato, C., Bennasar-Vazquez, J., Park, J., Chang, J. C., Miller, L. E., Dudman, J. T., Perich, M. G., Gallego, J. A. Abstract: There is rich variety in the activity of single neurons recorded during behaviour. Yet, these diverse single neuron responses can be well described by relatively few patterns of neural co-modulation. The study of such low-dimensional structure of neural population activity has provided important insights into how the brain generates behaviour. Virtually all of these studies have used linear dimensionality reduction techniques to estimate these population-wide co-modulation patterns, constraining them to a flat "neural manifold". Here, we hypothesised that since neurons have nonlinear responses and make thousands of distributed and recurrent connections that likely amplify such nonlinearities, neural manifolds should be intrinsically nonlinear. Combining neural population recordings from monkey motor cortex, mouse motor cortex, mouse striatum, and human motor cortex, we show that: 1) neural manifolds are intrinsically nonlinear; 2) the degree of their nonlinearity varies across architecturally distinct brain regions; and 3) manifold nonlinearity becomes more evident during complex tasks that require more varied activity patterns. Simulations using recurrent neural network models confirmed the proposed relationship between circuit connectivity and manifold nonlinearity, including the differences across architecturally distinct regions. Thus, neural manifolds underlying the generation of behaviour are inherently nonlinear, and properly accounting for such nonlinearities will be critical as neuroscientists move towards studying numerous brain regions involved in increasingly complex and naturalistic behaviours. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Ever had a test drive go horribly wrong? We sure did, and we're sharing all the juicy details of our bizarre experience with a GM Tahoe that left us scratching our heads. Learn how we managed to troubleshoot the issue by disconnecting the battery, resetting the car, and exploring the ins and outs of remote start systems. We also touch on the possibility of an anti-theft mode being the cause of the problem, and the importance of following the correct sequence when using a remote start.But that's not all! We're also diving headfirst into a wild story out of Arkansas involving a hole-in-one car controversy. Join us as we break down the legalities of hole-in-one insurance and explore who should pay for the prize when a golfer is denied his well-earned prize of a 2022 Ford F-150 4x4 super crew. And if you're a car enthusiast, you'll love our deep discussion on the world of exhaust manifolds and free horsepower, focusing on Chevrolet Ram Horn exhaust manifolds, Beerman headers, and the exhaust systems of various other popular car brands. Don't miss our next week's topic on intake manifolds and getting air into the engine!---- ----- Want more In Wheel Time Car Talk any time? In Wheel Time Car Talk is now available on iHeart Radio! Just go to iheart.com/InWheelTimeCarTalk where ever you are.----- -----Be sure to subscribe on your favorite podcast provider for the next episode of In Wheel Time Car Talk and check out our live broadcast every Saturday, 8a-11aCT simulcasting on iHeart Radio, YouTube, Facebook, Twitter, Twitch and InWheelTime.com.In Wheel Time Car Talk can be heard on you mobile device from providers such as:Apple Podcasts, Pandora Podcast, Amazon Music Podcast, Spotify, Google Podcasts, Stitcher, iHeart Radio podcast, TuneIn + Alexa, Podcast Addict, Castro, Castbox and more on your mobile device.Follow InWheelTime.com for the latest updates!Twitter: https://twitter.com/InWheelTimeInstagram: https://www.instagram.com/inwheeltime/https://www.iheart.com/live/in-wheel-time-car-talk-9327/https://www.youtube.com/inwheeltimehttps://www.Facebook.com/InWheelTimeFor more information about In Wheel Time Car Talk, email us at info@inwheeltime.comTags: In Wheel Time, automotive car talk show, car talk, Live car talk show, In Wheel Time Car Talk

Our guest in this episode is Rodolphe Sepulchre, Professor of Engineering at KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering  (Control Group).  We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.Outline- 00:00 - Intro - 03:54 - Why control? - 11:08 - Spiking control systems - 20:47 - The mixed feedback principle - 23:52 - On thermodynamics - 25:17 - Event-based systems - 29:33 - On dissipativity theory - 48:00 - Stability, positivity and monotonicity - 55:00 - Control, cybernetics and neuroscience - 59:10 - Neuromorphic control principles - 01:00:01 - Optimization on manifolds - 01:05:01 - Influential figures - 01:08:52 - On the future of control - 01:12:35 - Advice to future students - 01:15:01 - About creativity - 01:20:35 - OutroEpisode links- Rodolphe's lab: https://tinyurl.com/yc4bubyy - IEEE CSM editorials: https://tinyurl.com/2bhch6w3 - Spiking control systems: https://tinyurl.com/3x6pwm9m- O. Pamuk: https://tinyurl.com/4akzyk37 - Event based control: https://tinyurl.com/5apuh5kw - A simple neuron servo: https://tinyurl.com/4pjnkx5u - C. Mead: https://tinyurl.com/mr29xta9 - L. Chua: https://tinyurl.com/5n935ssp - Inventing the negative feedback amplifier: https://tinyurl.com/4573rv2d - Hodgkin-Huxley model: https://tinyurl.com/mr46cv79 - R. Ashby: https://tinyurl.com/45jrp6hw - G. J. Minty: https://tinyurl.com/4u4v22ue  - J. C. Willems: https://tinyurl.com/3zthcxc2 - P. Kokotovic: https://tinyurl.com/mrymffch - Wholeness and the Implicate Order: https://tinyurl.com/yckpnybp Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios. Music was composed by A New Element. Support the show

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.08.527668v1?rss=1 Authors: Roth, A. M., Calalo, J. A., Lokesh, R., Sullivan, S. R., Grill, S., Jeka, J. J., van der Kooij, K., Carter, M. J., Cashaback, J. G. A. Abstract: From baby's babbling to a songbird practicing a new tune, exploration is critical to motor learning. A hallmark of exploration is the emergence of random walk behaviour along solution manifolds, where successive motor actions are not independent but rather become serially dependent. Such exploratory random walk behaviour is ubiquitous across species, neural firing, gait patterns, and reaching behaviour. Past work has suggested that exploratory random walk behaviour arises from an accumulation of movement variability and a lack of error-based corrections. Here we test a fundamentally different idea--that reinforcement-based processes regulate random walk behaviour to promote continual motor exploration. Across three human reaching experiments we manipulated the size of both the visually displayed target and an unseen reward zone, as well as the probability of reinforcement feedback. Our empirical and modelling results parsimoniously support the notion that exploratory random walk behaviour emerges by utilizing knowledge of movement variability to update intended reach aim towards recently reinforced motor actions. This mechanism leads to active and continuous exploration of the solution manifold, currently thought by prominent theories to arise passively. The ability to continually explore is beneficial while acting in uncertain environments, during motor development, or when recovering from a neurological disorder to discover and learn new motor actions. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

When manifolds warp or crack a bunch of issues arise.  Johnny from Stainless Diesel talks to us about their exhaust manifolds and eliminating problems seen on factory manifolds.  We also talk racing and finishing touches on their race car! Learn more about your ad choices. Visit megaphone.fm/adchoices

Cosmic Topology I: Limits on Orientable Euclidean Manifolds from Circle Searches by Pip Petersen et al. on Thursday 24 November The Einstein field equations of general relativity constrain the local curvature at every point in spacetime, but say nothing about the global topology of the Universe. Cosmic microwave background anisotropies have proven to be the most powerful probe of non-trivial topology since, within $Lambda$CDM, these anisotropies have well-characterized statistical properties, the signal is principally from a thin spherical shell centered on the observer (the last scattering surface), and space-based observations nearly cover the full sky. The most generic signature of cosmic topology in the microwave background is pairs of circles with matching temperature and polarization patterns. No such circle pairs have been seen above noise in the WMAP or Planck temperature data, implying that the shortest non-contractible loop around the Universe through our location is longer than 98.5% of the comoving diameter of the last scattering surface. We translate this generic constraint into limits on the parameters that characterize manifolds with each of the nine possible non-trivial orientable Euclidean topologies, and provide a code which computes these constraints. In all but the simplest cases, the shortest non-contractible loop in the space can avoid us, and be shorter than the diameter of the last scattering surface by a factor ranging from 2 to at least 6. This result implies that a broader range of manifolds is observationally allowed than widely appreciated.Probing these manifolds will require more subtle statistical signatures than matched circles, such as off-diagonal correlations of harmonic coefficients. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.02603v2

Cosmic Topology I: Limits on Orientable Euclidean Manifolds from Circle Searches by Pip Petersen et al. on Wednesday 23 November The Einstein field equations of general relativity constrain the local curvature at every point in spacetime, but say nothing about the global topology of the Universe. Cosmic microwave background anisotropies have proven to be the most powerful probe of non-trivial topology since, within $Lambda$CDM, these anisotropies have well-characterized statistical properties, the signal is principally from a thin spherical shell centered on the observer (the last scattering surface), and space-based observations nearly cover the full sky. The most generic signature of cosmic topology in the microwave background is pairs of circles with matching temperature and polarization patterns. No such circle pairs have been seen above noise in the WMAP or Planck temperature data, implying that the shortest non-contractible loop around the Universe through our location is longer than 98.5% of the comoving diameter of the last scattering surface. We translate this generic constraint into limits on the parameters that characterize manifolds with each of the nine possible non-trivial orientable Euclidean topologies, and provide a code which computes these constraints. In all but the simplest cases, the shortest non-contractible loop in the space can avoid us, and be shorter than the diameter of the last scattering surface by a factor ranging from 2 to at least 6. This result implies that a broader range of manifolds is observationally allowed than widely appreciated.Probing these manifolds will require more subtle statistical signatures than matched circles, such as off-diagonal correlations of harmonic coefficients. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.02603v2

Cosmic Topology I: Limits on Orientable Euclidean Manifolds from Circle Searches by Pip Petersen et al. on Wednesday 23 November The Einstein field equations of general relativity constrain the local curvature at every point in spacetime, but say nothing about the global topology of the Universe. Cosmic microwave background anisotropies have proven to be the most powerful probe of non-trivial topology since, within $Lambda$CDM, these anisotropies have well-characterized statistical properties, the signal is principally from a thin spherical shell centered on the observer (the last scattering surface), and space-based observations nearly cover the full sky. The most generic signature of cosmic topology in the microwave background is pairs of circles with matching temperature and polarization patterns. No such circle pairs have been seen above noise in the WMAP or Planck temperature data, implying that the shortest non-contractible loop around the Universe through our location is longer than 98.5% of the comoving diameter of the last scattering surface. We translate this generic constraint into limits on the parameters that characterize manifolds with each of the nine possible non-trivial orientable Euclidean topologies, and provide a code which computes these constraints. In all but the simplest cases, the shortest non-contractible loop in the space can avoid us, and be shorter than the diameter of the last scattering surface by a factor ranging from 2 to at least 6. This result implies that a broader range of manifolds is observationally allowed than widely appreciated.Probing these manifolds will require more subtle statistical signatures than matched circles, such as off-diagonal correlations of harmonic coefficients. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.02603v2

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.09.27.509823v1?rss=1 Authors: De, A., Chaudhuri, R. Abstract: Populations of neurons represent sensory, motor and cognitive variables via patterns of activity distributed across the population. The size of the population used to encode a variable is typically much greater than the dimension of the variable itself, and thus the corresponding neural population activity occupies lower-dimensional subsets of the full set of possible activity states. Given population activity data with such lower-dimensional structure, a fundamental question asks how close the low-dimensional data lies to a linear subspace. The linearity or non-linearity of the low-dimensional structure reflects important computational features of the encoding, such as robustness and generalizability. Moreover, identifying such linear structure underlies common data analysis methods such as Principal Component Analysis. Here we show that for data drawn from many common population codes the resulting point clouds and manifolds are exceedingly nonlinear, with the dimension of the best-fitting linear subspace growing at least exponentially with the true dimension of the data. Consequently, linear methods like Principal Component Analysis fail dramatically at identifying the true underlying structure, even in the limit of arbitrarily many data points and no noise. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord community. Gaute Einevoll is a professor at the University of Oslo and Norwegian University of Life Sciences. Use develops detailed models of brain networks to use as simulations, so neuroscientists can test their various theories and hypotheses about how networks implement various functions. Thus, the models are tools. The goal is to create models that are multi-level, to test questions at various levels of biological detail; and multi-modal, to predict that handful of signals neuroscientists measure from real brains (something Gaute calls "measurement physics"). We also discuss Gaute's thoughts on Carina Curto's "beautiful vs ugly models", and his reaction to Noah Hutton's In Silico documentary about the Blue Brain and Human Brain projects (Gaute has been funded by the Human Brain Project since its inception). Gaute's website.Twitter: @GauteEinevoll.Related papers:The Scientific Case for Brain Simulations.Brain signal predictions from multi-scale networks using a linearized framework.Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortexLFPy: a Python module for calculation of extracellular potentials from multicompartment neuron models.Gaute's Sense and Science podcast. 0:00 - Intro 3:25 - Beautiful and messy models 6:34 - In Silico 9:47 - Goals of human brain project 15:50 - Brain simulation approach 21:35 - Degeneracy in parameters 26:24 - Abstract principles from simulations 32:58 - Models as tools 35:34 - Predicting brain signals 41:45 - LFPs closer to average 53:57 - Plasticity in simulations 56:53 - How detailed should we model neurons? 59:09 - Lessons from predicting signals 1:06:07 - Scaling up 1:10:54 - Simulation as a tool 1:12:35 - Oscillations 1:16:24 - Manifolds and simulations 1:20:22 - Modeling cortex like Hodgkin and Huxley

YouTube link: https://youtu.be/eouxDJMlPuM Patreon: https://patreon.com/curtjaimungal Crypto: https://tinyurl.com/cryptoTOE PayPal: https://tinyurl.com/paypalTOE Twitter: https://twitter.com/TOEwithCurt Discord Invite: https://discord.com/invite/kBcnfNVwqs iTunes: https://podcasts.apple.com/ca/podcast/better-left-unsaid-with-curt-jaimungal/id1521758802 Pandora: https://pdora.co/33b9lfP Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeverything Merch: https://tinyurl.com/TOEmerch PHYSICS: - Tobias Osborne: https://www.youtube.com/channel/UCpHjg_Qmzxm3xaAWRrwQPCA - Professor M Does Science: https://www.youtube.com/c/ProfessorMdoesScience - Unzicker's Real Physics: https://www.youtube.com/user/TheMachian - Quantum Sense: https://www.youtube.com/channel/UCjZeJQVSkkydgZmSUucB9kA - ZAP Physics: https://www.youtube.com/channel/UCGTW2EYuaDEthocEP30xQtg - Stephen E. Robbins: https://www.youtube.com/channel/UCkj-ob9OuaMhRIDqfvnBxoQ CONSCIOUSNESS: - Demystifying Science: https://www.youtube.com/c/TheDemystifySciPodcast - Somi Arian: https://www.youtube.com/c/TheSomiArianShow - Mind Body Solution: https://www.youtube.com/c/MindBodySolution - The Meaning Code: https://www.youtube.com/c/TheMeaningCode - Reason With Science: https://www.youtube.com/c/ReasonwithScience - Asking Anything: https://www.youtube.com/c/AskingAnything - Theory of Every0ne with Tyler Goldstein: https://www.youtube.com/channel/UCmWVgMFZCib-hrtgCA55nBg - Mathematical Consciousness: https://www.youtube.com/channel/UC7Eq7alQ9gJgAVhVS3IcvQw MATHEMATICS: - CHALK: https://www.youtube.com/c/CHALKboard - Dietterich Labs: https://www.youtube.com/channel/UCd02pSRrecAVFOPjB-bfv-Q - Cryoscience: https://www.youtube.com/channel/UCgNdoiZtAdzBuy6oV-kKjsQ - Graduate Physics: https://www.youtube.com/channel/UC1jsSfjt8MPRqK254HV1i9Q - Kyle Broder: https://www.youtube.com/c/KyleBroder - Rooney: https://www.youtube.com/channel/UCvYCMicLA7TZNfYhOaSCOsw - Sudgylacmoe: https://www.youtube.com/channel/UCEo_JfTH_9FK-7k9-mAWJkQ - Zeta Math: https://www.youtube.com/c/zetamath - Manifolds in Maryland: https://www.youtube.com/channel/UCUXEyPwb-ERzCagDIiP_VBA PSYCHOLOGY: - Gregg Henriques' Unified Theory of Knowledge: https://www.youtube.com/channel/UCTb1ZHu5hUms3QcrM9XMzMg - Charlotte Fraza: https://www.youtube.com/c/CharlotteFraza - The Bigger Picture Podcast: https://www.youtube.com/channel/UCX81SBW84luNoIaYqehkYhA - Anagoge Podcast: https://www.youtube.com/c/AnagogePodcast UFOs: - Need To Know (with Ross and Zabel): https://www.youtube.com/c/BryceZabel - Alien Girl: https://www.youtube.com/c/Aliengirl111 - That UFO Podcast: https://www.youtube.com/c/ThatUFOPodcast - Cristina Gomez: https://www.youtube.com/c/ParadigmShifts - Red Panda Koala: https://www.youtube.com/channel/UCvSbzThCfsiETLp3eOdVkNw - GUFON: https://www.youtube.com/c/GUFONRadioStream - Thomas Fessler: https://www.youtube.com/c/thomasfessler - Truthseekers: https://www.youtube.com/c/Truthseekershow MISC.: - Nicole van der Hoeven: https://www.youtube.com/c/NicolevanderHoeven - Joe Glines Automator: https://www.youtube.com/c/JoeGlines-Automator - Joe's tutorial for Curt: https://www.youtube.com/watch?v=g2u9_6oEdw8 - Sigma Documentaries: https://www.youtube.com/user/SigmaDocumentaries - Thin Reaper: https://www.youtube.com/c/thinreaper OTHER LINKS MENTIONED: - Crash Course on Physics by Curt: https://youtu.be/e8kyvdPP8os TIMESTAMPS: 00:00:00 Contest Pre-announcement #PaCE1 00:00:53 Introduction 00:01:32 Criteria 00:02:21 Physics Channels 00:04:42 Consciousness Channels 00:06:41 Mathematics Channels 00:10:09 Psychology Channels 00:11:04 UFO Channels 00:12:36 Miscellaneous Channels * * * Just wrapped (April 2021) a documentary called Better Left Unsaid http://betterleftunsaidfilm.com on the topic of "when does the left go too far?" Visit that site if you'd like to watch it. Learn more about your ad choices. Visit megaphone.fm/adchoices

No real theme this episode, just suggesting a few albums I've been enjoying recently Track Played; Blotted Science - Oscillation Cycles - The Machinations of Dementia (2007) Septic Flesh - Mystic Places Of Dawn - Mystic Places Of Dawn (1994) Septic Flesh - Phallic Litanies- Ophidian Wheel (1997) Transcending Bizarre? - Cosmic Zero Equation - The Serpent's Manifolds (2008) Live Burial - Condemned to the Boats - Unending Futility (2020) De Profundis - Opiate For The Masses - The Blinding Light Of Faith (2018) The Howling Void - Lords of Barren Fields - The Triumph of Ruin (2016) Host; Phil Wadey Contact us at philsbreakfastmetal@gmail.com Facebook page; www.facebook.com/Philsbreakfastmetal/?fref=ts Twitter; @BreakfastMetal

Feel the need for speed? After 21 years in the game, Connecticut-based TurboKits.com still stocks the most comprehensive range of turbos and universal parts you will find. Go to https://www.turbokits.com (https://www.turbokits.com) for more information.

Note - This is an AUDIO ONLY version. Full video can be seen on YouTube or better over at The Roll Steady Network.This clip is part of Episode 3 in our Urban Pump Series. The entire episode can be viewed (multiple clips, written content, resources) for free over at The Roll Steady Network - www.therollsteady.com (Which can also be accessed via the Mighty Networks App on your phone by searching for "The Roll Steady")***MARCH 2022 GIVEAWAY***This month, Iron Fox Tool Co is giving away what we consider to be THE BEST axe a firefighter could carry - The 8lb Breach Axe. We're honored they would want to partner with our community to make this available to you all.HOW TO ENTER TO WIN: This month we have 5 pieces of content we are releasing Within each of the pieces of content that we mention above, there is a keyword that we identify (Note - The keyword is the same in each piece of content). Once you have the keyword, send us an email at sales@ironfoxtoolco.com with "The Roll Steady" in the Subject and your first and last name in the Body of the email along with the keyword: One entry per person will be accepted. All entries will be complied into a list from which we will generate a random winner. All entries must be submitted by March 31 at 07:00 CST. Final drawing will be March 31 at 17:00 CST and announced on .© 2021 The Roll Steady, LLC. All Rights ReservedDISCLAIMER: Dallas Fire-Rescue does not endorse or necessarily promote these videos. The information herein is my best understanding of the material covered and the subsequent views expressed are my own and not necessarily those DFR. These videos are strictly for educational purposes only. It is critical that you follow your department's MOP/SOP, and talk with your Station Officer (and crew) before implementing anything you see here on The Roll Steady.

Peter Kuchment; Texas A&M University 23 January 2007 – 16:00 to 17:00

Welcome to the next installment of the Anesthesia Patient Safety podcast hosted by Alli Bechtel.  This podcast is an exciting journey towards improved anesthesia patient safety.Today, we are taking about the safe use of manifolds for IV medication administration in the operating room. Then, we dive into cases of malignant hyperthermia that survived without dantrolene therapy. Our discussion involves a review of the MH cases, MH resources, important articles, treatment options, and the Clinical Grading Scale. This is a Category 6 show that is “almost certain” to provide vital information to help keep patients safe during anesthesia care. Additional sound effects from https://www.zapsplat.com.© 2021, The Anesthesia Patient Safety FoundationFor show notes & transcript, visit our episode page at apsf.org: https://www.apsf.org/podcast/62-manifolds-and-malignant-hyperthermia-oh-my/

Performing reliably on unseen or shifting data distributions is a difficult challenge for modern vision systems, even slight corruptions or transformations of images are enough to slash the accuracy of state-of-the-art classifiers. When an adversary is allowed to modify an input image directly, models can be manipulated into predicting anything even when there is no perceptible change, this is known an adversarial example. The ideal definition of an adversarial example is when humans consistently say two pictures are the same but a machine disagrees. Hadi Salman, a Ph.D student at MIT (ex-Uber and Microsoft Research) started thinking about how adversarial robustness could be leveraged beyond security. He realised that the phenomenon of adversarial examples could actually be turned upside down to lead to more robust models instead of breaking them. Hadi actually utilized the brittleness of neural networks to design unadversarial examples or robust objects which_ are objects designed specifically to be robustly recognized by neural networks. Introduction [00:00:00] DR KILCHER'S PHD HAT [00:11:18] Main Introduction [00:11:38] Hadi's Introduction [00:14:43] More robust models == transfer better [00:46:41] Features not bugs paper [00:49:13] Manifolds [00:55:51] Robustness and Transferability [00:58:00] Do non-robust features generalize worse than robust? [00:59:52] The unreasonable predicament of entangled features [01:01:57] We can only find adversarial examples in the vicinity [01:09:30] Certifiability of models for robustness [01:13:55] Carlini is coming for you! And we are screwed [01:23:21] Distribution shift and corruptions are a bigger problem than adversarial examples [01:25:34] All roads lead to generalization [01:26:47] Unadversarial examples [01:27:26]

In this BACKWARDS episode, Jaz tells the story of an alleged time traveler from the future, Karli loves cupholders, and Guest Weirdo Kurt Quinn reveals an absurdly impressive terceS tnelaT!

New perspectives on supersymmetric gauge theories

New perspectives on supersymmetric gauge theories

New perspectives on supersymmetric gauge theorie

Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technologies Netherlands B.V. Max is a strong believer in the power of data and computation and its relevance to artificial intelligence. There is a fundamental blank slate paradgm in machine learning, experience and data alone currently rule the roost. Max wants to build a house of domain knowledge on top of that blank slate. Max thinks there are no predictions without assumptions, no generalization without inductive bias. The bias-variance tradeoff tells us that we need to use additional human knowledge when data is insufficient. Max Welling has pioneered many of the most sophistocated inductive priors in DL models developed in recent years, allowing us to use Deep Learning with non-euclidean data i.e. on graphs/topology (a field we now called "geometric deep learning") or allowing network architectures to recognise new symmetries in the data for example gauge or SE(3) equivariance. Max has also brought many other concepts from his physics playbook into ML, for example quantum and even Bayesian approaches. This is not an episode to miss, it might be our best yet! Panel: Dr. Tim Scarfe, Yannic Kilcher, Alex Stenlake 00:00:00 Show introduction 00:04:37 Protein Fold from DeepMind -- did it use SE(3) transformer? 00:09:58 How has machine learning progressed 00:19:57 Quantum Deformed Neural Networks paper 00:22:54 Probabilistic Numeric Convolutional Neural Networks paper 00:27:04 Ilia Karmanov from Qualcomm interview mini segment 00:32:04 Main Show Intro 00:35:21 How is Max known in the community? 00:36:35 How Max nurtures talent, freedom and relationship is key 00:40:30 Selecting research directions and guidance 00:43:42 Priors vs experience (bias/variance trade-off) 00:48:47 Generative models and GPT-3 00:51:57 Bias/variance trade off -- when do priors hurt us 00:54:48 Capsule networks 01:03:09 Which old ideas whould we revive 01:04:36 Hardware lottery paper 01:07:50 Greatness can't be planned (Kenneth Stanley reference) 01:09:10 A new sort of peer review and originality 01:11:57 Quantum Computing 01:14:25 Quantum deformed neural networks paper 01:21:57 Probabalistic numeric convolutional neural networks 01:26:35 Matrix exponential 01:28:44 Other ideas from physics i.e. chaos, holography, renormalisation 01:34:25 Reddit 01:37:19 Open review system in ML 01:41:43 Outro

Merry Christmas! In this episode I go over different styles of guages and manifolds so you can be a little informed of what is out there as far as guages, probes etc. Items I mention: Testo 557 Testo Probes iPhone iPad Measure Quick Yellowjacket S-man Apion G5 twin --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Podcast: Brain Inspired (LS 46 · TOP 1% what is this?)Episode: BI 091 Carsen Stringer: Understanding 40,000 NeuronsPub date: 2020-12-04 Carsen and I discuss how she uses 2-photon calcium imaging data from over 10,000 neurons to understand the information processing of such large neural population activity. We talk about the tools she makes and uses to analyze the data, and the type of high-dimensional neural activity structure they found, which seems to allow efficient and robust information processing. We also talk about how these findings may help build better deep learning networks, and Carsen’s thoughts on how to improve the diversity, inclusivity, and equality in neuroscience research labs. Guest question from Matt Smith. Stringer Lab.Twitter: @computingnature.The papers we discuss or mention:High-dimensional geometry of population responses in visual cortexSpontaneous behaviors drive multidimensional, brain-wide population activity. Timestamps: 0:00 – Intro 5:51 – Recording > 10k neurons 8:51 – 2-photon calcium imaging 14:56 – Balancing scientific questions and tools 21:16 – Unsupervised learning tools and rastermap 26:14 – Manifolds 32:13 – Matt Smith question 37:06 – Dimensionality of neural activity 58:51 – Future plans 1:00:30- What can AI learn from this? 1:13:26 – Diversity, inclusivity, equalityThe podcast and artwork embedded on this page are from Paul Middlebrooks, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Stokes' Theorem in its general form is a remarkable theorem with many applications in calculus, starting with the Fundamental Theorem of Calculus. The pattern in each case is that the integral of a function over a region is equal to the integral of a related function over the boundary of the region. We can use information about the boundary of a region to get information about the entire region, which is both useful and mathematically elegant.

Join hosts, Mitch Eichler and Brian Baranek, as they interview the great and powerful Tom Ulery on his involvement in renewable energy. You'll breeze through application details on wind power, see how Tom is making a splash in hydro power, sail into the past of the hydraulics industry, get insider insight of what the future holds, and even dive into some of Tom's guilty pleasures!  You'll be feeling like a rockstar, running circles in you candy paint 92' explorer with this episode. Wow, I fall apart just thinking about it. Haven't hit a download link yet? You better now. Congratulations on making it this far in the paragraph.

It's an epidemic: very bad turbo manifolds with poor wastegate placement, EV cars talk, why vitara pistons are bad, AEM infinity as a great ecu, what is AEM EV, and more. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/bisimoto/support

Hydraulic manifolds regulate fluid flow to control the transfer of power between actuators and pumps. Nimit Patel, president of Hydraulic Manifolds discusses the engineered to order (ETO) work his company does for OEMs and standard uses for hydraulic manifolds with hosts Lew Weiss and Tim Grady.

Nimit Patel, Principal CEO of Hydraulic Manifolds USA, joins us to share the three factors he's seen that influence every company: people, processes, and technology.

Strings 2012

James Bowman is back and we alk about analog vs. digital manifolds and why both of them may still have a place in the industry

In this episode Adolfo from Arbiter comes on and debates some why a tech would want a manifold over probes and vice versa. Find out more about the UEI hub kits at http://www.ueitest.com/products/hub6

This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized an impromptu roundtable on Building AI Products, and met a bunch of great people, including some former TWiML Talk guests. This time around I'm joined by Joan Bruna, Assistant Professor at the Courant Institute of Mathematical Sciences and the Center for Data Science at NYU, and Michael Bronstein, associate professor at Università della Svizzera italiana (Switzerland) and Tel Aviv University. Joan and Michael join me after their tutorial on Geometric Deep Learning on Graphs and Manifolds. In our conversation we dig pretty deeply into the ideas behind geometric deep learning and how we can use it in applications like 3D vision, sensor networks, drug design, biomedicine, and recommendation systems. This is definitely a Nerd Alert show, and one that will get your multi-dimensional neurons firing. Enjoy!

VW 2.0 TSI intake manifold failure is SUPER common. In fact they have a warranty extension on them. But how exactly do these intake manifold fail? Join me today as we look at some ways the CCTA intake manifolds fail. This is not only an VW issue, but an Audi issue as well. It has […]

PC Perspective Podcast #465 - 08/31/17 Join us for continued discussion on Seasonic, BeQuiet! PSUs, Koolance, FSP coolers, IFA laptops and more! You can subscribe to us through iTunes and you can still access it directly through the RSS page HERE. The URL for the podcast is: http://pcper.com/podcast - Share with your friends! iTunes - Subscribe to the podcast directly through the iTunes Store (audio only) Video version on iTunes Google Play - Subscribe to our audio podcast directly through Google Play! RSS - Subscribe through your regular RSS reader (audio only) Video version RSS feed MP3 - Direct download link to the MP3 file Hosts: Ryan Shrout, Jeremy Hellstrom, Josh Walrath, Allyn Malventano Peanut Gallery: Ken Addison, Alex Lustenberg Program length: 1:28:57 Podcast topics of discussion: Join our spam list to get notified when we go live! Patreon PCPer Mailbag #6 - 8/25/2017 PCPer Plays: Lords of the Realm 2 (1996) 0:06:00 VLAN Aftermath Week in Review: 0:10:24 Seasonic PRIME 1000W Platinum Power Supply Review 0:12:30 Koolance CPU-390CI CPU Waterblock Review 0:16:00 BeQuiet! SFX-L 600W Power Supply Review 0:17:25 FSP Windale 4 and 6 CPU Air Cooler Review News items of interest: 0:23:45 New GPU Launch, New Attempt to Unlock Stuff 0:30:31 The sound and Fury of the RX Vega 56 0:32:10 Asus Launches B250 Expert Mining Motherboard With 19 PCI-E Slots 0:36:20 Happy Monday, that shiny new graphics card you've been eyeing just got even more expensive 0:38:20 Not so smart now are you TV? UK Samsung owners a little peeved 0:39:30 ASUS Announces the ZenBook Flip S UX370 0:41:45 IFA 2017: Acer announces passively-cooled Switch 7 Black Edition 0:45:45 IFA 2017: Dell announces refreshed Quad-Core XPS 13 Notebook 0:51:30 Fanatec Releases CSL Elite Wheel P1 Alcantara 0:58:05 Intel Announces Xeon W and Xeon Scalable Workstation Processors 1:02:35 Logitech is your new HERO: G613 Wireless Keyboard and G603 Wireless Mouse Hardware/Software Picks of the Week 1:12:25 Ryan: Logitech G613 1:16:05 Jeremy: Steam library growing in girth? 850 EVO 500GB 1:18:45 Josh: Damn nice keyboard 1:21:05 Allyn: My first game mod: Manifolds for Factorio (and 0.15 is stable) http://pcper.com/podcast http://twitter.com/ryanshrout and http://twitter.com/pcper Closing/outro Subscribe to the PC Perspective YouTube Channel for more videos, reviews and podcasts!!

Mike, Tom, and Tad in studio, Crunch could not get in because we had more wonderful snow. Well, the good news is NHRA Pro Stock had a full field, bad news is Tom won the pool with a guess of 209.50 and an event mile per hour record of 210.34.  Poor Tad had 210.5, in the words of Maxwell Smart.... Missed it by that much. The NHRA Pro Stock field was, in Mike's eyes, somewhat surprising.  In an effort to overturn Tom's victory he looked up altitude corrected MPH to see how fast they would have gone at sea level.  The altitude was like 3000FT and that would make a good air pass of 218 ish.  That looks as if they do not lose anything at all, and maybe in the end picked up some.   There were some interesting notes.  1 pass was "Disallowed" and at the time of the show there was no further information as to what exactly "Disallowed" means.  Hogan's Manifolds are the manifolds on all the fast guys so they found something for sure in the R&D side.  They are all pretty sure injector placement has something to do with this.  Hat's off to Hogan's, they have had some very good stuff over the years and it's nice to see them back on top.  With that being said, it seems that a fair amount of stuff is still covered.  That would mean to the guys that there is something in that area they felt was worth concealing.  Tom said, and we can see from the pictures, the cars look great.  It brings back the real look of a car even if somewhat exaggerated in the front end area.  In the end, the guys think it overall worked out better than NHRA could have hoped for. Guest next week, and keep your Trans, converter, and harmonic balancer questions handy.   Live again next week Monday night at 7:00 PM EST on Mixlr.com.  Call in number 908 751 0211.  Live callers welcome, and this will be the line for giveaways. Like us on Facebook by going to Power and Speed Podcast and follow us on Twitter @powerspeedpod. 

This thesis deals with Double Field Theory (DFT), an effective field theory capturing the low energy dynamics of closed strings on a torus. All observables arising from those dynamics match on certain families of background space times. These different backgrounds are connected by T-duality. DFT renders T-duality on a torus manifest by adding D windig coordinates in addition to the D space time coordinates. An essential consistency constraint of the theory, the strong constraint, only allows for fields which depend on half of the coordinates of the arising doubled space. An important application of DFT are generalized Scherk-Schwarz compactifications. They give rise to half-maximal, electrically gauged supergravities which are classified by the embedding tensor formalism, specifying the embedding of their gauge group into O(n,n). Because it is not compatible with all solutions of the embedding tensor, the strong constraint is replaced by the closure constraint of DFT's flux formulation. This allows for compactifications on backgrounds which are not T-dual to well-defined geometric ones. Their description requires non-geometric fluxes. Due to their special properties, they are also of particular phenomenological interest. However, the violation of the strong constraint obscures their uplift to full string theory. Moreover, there is an ambiguity in generalizing traditional Scherk-Schwarz compactifications to the doubled space of DFT: There is a lack of a general procedure to construct the twist of the compactification. After reviewing DFT and generalized Scherk-Schwarz compactifications, DFT_WZW, a generalization of the current formalism is presented. It captures the low energy dynamics of a closed bosonic string propagating on a compact group manifold and it allows to solve the problems mentioned above. Its classical action and the corresponding gauge transformations arise from Closed String Field Theory up to cubic order in the massless fields. These results are rewritten in terms of a generalized metric and extended to all orders in the fields. There is an explicit distinction between background and fluctuations. For the gauge algebra to close, the latter have to fulfill a modified strong constraint, while for the former the closure constraint is sufficient. Besides the generalized diffeomorphism invariance known from the traditional formulation, DFT_WZW is invariant under standard diffeomorphisms of the doubled space. They are broken by imposing the totally optional extended strong constraint. In doing so, the traditional formulation is restored. A flux formulation for the new theory is derived and its connection to generalized Scherk-Schwarz compactifications is discussed. Further, a possible tree-level uplift of a genuinely non-geometric background (not T-dual to any geometric configuration) is presented. Finally, the ambiguity in constructing the compactification's twist is eliminated. Altogether, a more general picture of DFT and the structures it is based on emerges.

Saveliev, N (University of Miami) Monday 23 March 2015, 10:00-11:00

Haken - английская рок-группа, играющая в стиле прогрессивного метала и прогрессивного рока. Основана в 2007 году в Лондоне. Группа Haken была сформирована в 2007 году, когда гитарист и клавишник группы To-Mera Ричард Хеншел пригласил вокалиста Росса Йеннингса и гитариста Мэтью Маршалла для реализации нового проекта. Для полного состава группы были также приглашены Питер Джонс, клавишник, с котором они познакомились на онлайн-форуме, и басист группы To-Mera Томас Маклин. В таком составе Haken записали первый EP, который включал в себя две композиции - "Snow" и "Souls". С этой программой группа выступала на небольших концертах клубов Лондона и была успешно принята публикой. В 2008 после записи ещё четырёх треков, "Manifolds", "Blind", "Sleeping Thoughts Wake" и "Black Seed", Haken выпустили полноформатный демоальбом, который включал все композиции группы и позже был назван Enter the 5th Dimension. После записи демоальбома клавишник Питер Джонс и гитарист Мэтью Маршалл заявили, что покидают коллектив для поиска новой карьеры. Но в этом же году к группе присоединился гитарист Linear Sphere и Anchorhead Чарльз Гриффитс и клавишник Диего Техейда. Выступав "на разогреве" у группы Kings X в Великобритании , спустя некоторое время Haken подписали контракт с лейблом Sensory Records и начали работу над дебютным студийным альбомом под названием Aquarius, который вышел в марте 2010 года. Параллельно гастролируя и сочиняя материал для второго студийного альбома, коллектив принял участие на таких фестивалях, как Night of the Prog в Германии и ProgPower USA XII в США, где также прозвучали некоторые песни из последующего второго альбома, который вышел в октябре 2011 года под названием Visions. 6 февраля 2013 года Haken подписали контракт с лейблом InsideOut Music и начали работу над третьим студийным альбомом. 20 июня 2013 года группа официально объявила, что третий альбом будет называться The Mountain и выпущен 2 сентября 2013 года.

Mon, 21 Jul 2014 12:00:00 +0100 https://edoc.ub.uni-muenchen.de/17204/ https://edoc.ub.uni-muenchen.de/17204/1/Neofytidis_Christoforos.pdf Neofytidis, Christoforos ddc:510, ddc:500, Fakultät für Mathematik, Informatik und Stat

Martelli, D (King's College London) Friday 04 October 2013, 11:30-12:30

D'Alessandro, G (University of Southampton) Wednesday 17 April 2013, 12:00-13:00

Severa, P (Université de Genève) Wednesday 03 April 2013, 11:00-12:00

Cattaneo, A (Universität Zürich) Wednesday 03 April 2013, 09:30-10:30

Francis, J (Northwestern University) Tuesday 02 April 2013, 11:00-12:00

Berglund, A (Stockholm University) Tuesday 02 April 2013, 13:30-14:30

Manschot, J (Universität Bonn) Monday 28 May 2012, 14:45-15:30

Martelli, D (King's College London) Tuesday 29 May 2012, 11:30-12:15

Nelson, B (Northeastern University) Tuesday 26 June 2012, 11:20-11:55

Lee, S-J (Korea Institute for Advanced Study (KIAS)) Tuesday 26 June 2012, 15:15-15:30

If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu. Partha Niyogi Memorial Conference: "Toward Understanding Complex Data: Graph Laplacian on Singular Manifolds". This conference is in honor of Partha Niyogi, the Louis Block Professor in Computer Science and Statistics at the University of Chicago. Partha lost his battle with cancer in October of 2010, at the age of 43. Partha made fundamental contributions to a variety of fields including language evolution, statistical inference, and speech recognition. The underlying themes of learning from observations and a rigorous basis for algorithms and models permeated his work.

If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu. Partha Niyogi Memorial Conference: "Topology and the Geometry of Manifolds from Sampling". This conference is in honor of Partha Niyogi, the Louis Block Professor in Computer Science and Statistics at the University of Chicago. Partha lost his battle with cancer in October of 2010, at the age of 43. Partha made fundamental contributions to a variety of fields including language evolution, statistical inference, and speech recognition. The underlying themes of learning from observations and a rigorous basis for algorithms and models permeated his work.

If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu. Partha Niyogi Memorial Conference: "Toward Understanding Complex Data: Graph Laplacian on Singular Manifolds". This conference is in honor of Partha Niyogi, the Louis Block Professor in Computer Science and Statistics at the University of Chicago. Partha lost his battle with cancer in October of 2010, at the age of 43. Partha made fundamental contributions to a variety of fields including language evolution, statistical inference, and speech recognition. The underlying themes of learning from observations and a rigorous basis for algorithms and models permeated his work.

If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu. Partha Niyogi Memorial Conference: "Topology and the Geometry of Manifolds from Sampling". This conference is in honor of Partha Niyogi, the Louis Block Professor in Computer Science and Statistics at the University of Chicago. Partha lost his battle with cancer in October of 2010, at the age of 43. Partha made fundamental contributions to a variety of fields including language evolution, statistical inference, and speech recognition. The underlying themes of learning from observations and a rigorous basis for algorithms and models permeated his work.

Sparks, J (University of Oxford) Thursday 22 March 2012, 11:30-12:30

Trouve, A (École Normale Supérieure) Thursday 25 August 2011, 11:00-11:45

Joyce, D (Oxford) Thursday 14 April 2011, 16:30-17:30

Fri, 17 Dec 2010 12:00:00 +0100 https://edoc.ub.uni-muenchen.de/12551/ https://edoc.ub.uni-muenchen.de/12551/1/Bowden_Jonathan.pdf Bowden, Jonathan ddc:500, ddc:510, Fakultät für Mathematik, Informatik und Statistik

Gottwald, G (Sydney) Thursday 14 October 2010, 10:00-11:00

Calogero, S (Granada) Friday 10 September 2010, 14:00-14:40

Gorban, A (Leicester) Tuesday 07 September 2010, 16:50-17:30

Saito, Y (Alabama) Thursday 05 April 2007, 11:30-12:30 Quantum Graphs, their Spectra and Applications

Wed, 9 Jul 2008 12:00:00 +0100 https://edoc.ub.uni-muenchen.de/9144/ https://edoc.ub.uni-muenchen.de/9144/1/Wehrheim_Jan.pdf Wehrheim, Jan ddc:500, ddc:510, Fakultät für Mathematik, Informatik und Statistik

In dieser Arbeit werden einige Aussagen über symplektische Strukturen auf 4-dimensionalen Mannigfaltigkeiten und Kontaktstrukturen auf 5-dimensionalen Mannigfaltigkeiten bewiesen. Wir untersuchen zunächst den Zusammenhang zwischen dem symplektischen und dem holomorphen Minimalitätsbegriff für Kählerflächen. Außerdem beweisen wir ein Resultat über die Irreduzibilität minimaler, einfach-zusammenhängender symplektischer 4- Mannigfaltigkeiten unter zusammenhängender Summe und eine Aussage über die konformen Systolen symplektischer 4-Mannigfaltigkeiten. Als nächstes betrachten wir die Konstruktion von differenzierbaren 4-dimensionalen Mannigfaltigkeiten durch die verallgemeinerte Fasersumme. Für den Fall, dass die Summation entlang eingebetteter Flächen mit trivialem Normalenbündel erfolgt, werden die ganzzahligen Homologiegruppen und im symplektischen Fall auch die kanonische Klasse der Fasersumme berechnet. Wir betrachten verschiedene Anwendungen, insbesondere hinsichtlich der Geographie einfach-zusammenhängender symplektischer 4-Mannigfaltigkeiten, deren kanonische Klasse durch eine vorgegebene natürliche Zahl teilbar ist. Wir zeigen auch, dass man mit geeigneten verzweigten Überlagerungen von komplexen Flächen vom allgemeinen Typ einfach-zusammenhängende algebraische Flächen konstruieren kann, deren kanonische Klasse eine vorgegebene Teilbarkeit besitzt. Im zweiten Teil der Arbeit betrachten wir die Boothby-Wang Konstruktion von Kontaktstrukturen auf Kreisbündeln über symplektischen Mannigfaltigkeiten. Zusammen mit den Resultaten über Geographie aus dem ersten Teil der Arbeit zeigen wir, dass es auf bestimmten einfach-zusammenhängenden 5-Mannigfaltigkeiten Kontaktstrukturen gibt, die nicht äquivalent sind, aber die in derselben (nicht-trivialen) Homotopieklasse von Fast-Kontaktstrukturen liegen.

Reich, S (Potsdam) Tuesday 27 March 2007, 11:30-12:15

MacKay, RS (Warwick) Monday 26 March 2007, 14:15-15:00