Podcasts about invariants

In this episode, we talk to Greg Souders. We hope you can use this framework to help design practice on working certain skills of destabilization, isolation, and segmentation. We deep dive into his conceptual framework of what jiu jitsu is, and the invariants and priorities for the main scenarios in the game: Guard, Pinning, Submissions, Standing, and Leg Entanglements. At the end, we discuss external/internal focus of attention, and insights into Greg's reflections on the Deandre vs Ethan match at WNO 24. Check out Sherpa, the AI-powered journal app for athletes. Sign up for the waitlist here.Check out Jake's Outlier Database to study match footage, get links to resources, and more.Use the code "HELP" to get 10% off Jake's "Less Impressed More Half Guard Passing" instructional. Thanks for supporting the show! Use code “BJJHELP” at submeta.io to try your first month for only $8!Use code “SISUhelp” for 10% off our favorite mouthguards.

Jean-Jacques HublinPaléantropologieCollège de FranceAnnée 2023-2024Colloque - Le mouvement humain des origines aux olympiades : Le style fait-il la performance motrice ? Invariants, lois motrices et singularités sensorimotricesSession 3Colloque coorganisé par Jean-Jacques Hublin, chaire Paléanthropologie et Alain Berthoz, chaire Physiologie de la perception et de l'action.Avec le soutien de l'Institut supérieur de rééducation psychomotrice.Thierry Pozzo, INSERM, Université de Dijon

Matt and Hailey take a deep dive into Chapter 26 in Modern Epidemiology, 4th Edition, Analysis of Interaction. This episode needs a content warning- it is among the most advanced and conceptually complex topics we have ever covered on SERious Epi. Interaction occurs when the effect of one exposure on outcome depends in some way on the presence or absence of another exposure. Seems like a simple enough concept, right? However, as you'll see in this episode, there are many different layers of complexity to consider related to terminology, scale, and interpretation of interaction analyses.  A note from Matt and Hailey: since this material is very complex, we reached out to Dr. Jay Kaufman for his perspective on the episode before releasing it. He had some very helpful thoughts, and we would like to share them with you (paraphrasing with his permission):  Part of what is confusing about this topic is the terminology differences, with Hailey using terminology (“interaction”) that lines up with that used by VanderWeele, ME4, and the Hernán and Robins textbook chapter and Matt using terminology (“interdependence”) from other articles in the literature, such as Greenland and Poole (1988). When there are joint effects that are exactly multiplicative, or supermultiplicative, you know it's a causal interaction (i.e., synergistic or biologic interaction) because multiplicativity is necessarily super-additive as long as both exposures meet consistency, exchangeability, and positivity assumptions. However, knowing that joint effects are submultiplicative  is not informative about additive interaction or synergism. It is also not possible to make a conclusion about additive interaction when a results section tells you only that in a logistic or Cox regression analysis there is “no significant interaction effect (p

Marty sits down with Will Cole to discuss his new writing on the five invariant elements of product management and how to build an effective strategy for your company. Will on Twitter: https://twitter.com/willcole 0:00 - Intro 6:17 - Marty is sleepy 11:07 - Stories behind Will's writing 19:10 - Invariants and levels of abstraction 30:25 - Why a product manager exists 33:57 - Think, then do 36:30 - Running through the invariants and strategy doc 42:41 - Timeline 46:55 - Minimizing meetings with good writing 48:53 - Iterating vs incrementing 56:44 - Who has better and worse product management? 1:00:24 - Managing growth 1:08:48 - Cmon Marty write the doc 1:12:46 - Design patterns 1:16:41 - BIPs 1:22:15 - Staying on the cutting edge 1:24:25 - Come and PM for Bitcoin companies Shoutout to our sponsors: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠River⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Unchained⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠CrowdHealth⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Talent Co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TFTC Merch is Available: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Shop Now⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join the TFTC Movement: Main ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YT Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Clips ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YT Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Marty Bent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Podcast⁠⁠⁠⁠

Au programme de ce nouvel épisode de notre série consacrée au management et à la direction de crèche : la part d'invariance. Il existe en effet des invariants dans le management d'une structure que Marie Defrance détaille ici. Le directeur doit ainsi notamment réfléchir aux modalités d'accueil des enfants, garantir le respect des droits des tout-petits accueillis, guider les membres de son équipe ou encore les responsabiliser. Bonne écoute ! Music by audionautix 

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Open Call for Research Assistants in Developmental Interpretability, published by Jesse Hoogland on August 30, 2023 on LessWrong. We are excited to announce multiple positions for Research Assistants to join our six-month research project assessing the viability of Developmental Interpretability (DevInterp). This is a chance to gain expertise in interpretability, develop your skills as a researcher, build out a network of collaborators and mentors, publish in major conferences, and open a path towards future opportunities, including potential permanent roles, recommendations, and successive collaborations. Background Developmental interpretability is a research agenda aiming to build tools for detecting, locating, and understanding phase transitions in learning dynamics of neural networks. It draws on techniques from singular learning theory, mechanistic interpretability, statistical physics, and developmental biology. Position Details General info: Title: Research Assistant / Research Engineer. Location: Remote, with hubs in Melbourne and London. Duration: Until March 2024 (at minimum). Compensation: base salary is USD$35k per year, to be paid out as an independent contractor at an hourly rate. Timeline: Application Deadline: September 15th, 2023 Ideal Start Date: October 2023 How to Apply: Complete the application form by the deadline. Further information on the application process will be provided in the form. Who We Are The developmental interpretability research team consists of experts across a number of areas of mathematics, physics, statistics and AI safety. The principal researchers: Daniel Murfet, mathematician and SLT expert, University of Melbourne. Susan Wei, statistician and SLT expert, University of Melbourne. Jesse Hoogland, MSc. Physics, SERI MATS scholar, RA in Krueger lab We have a range of projects currently underway, led by one of these principal researchers and involving a number of other PhD and MSc students from the University of Melbourne and collaborators from around the world. In an organizational capacity you would also interact with Alexander Oldenziel and Stan van Wingerden. You can find us and the broader DevInterp research community on our Discord. Beyond the Developmental Interpretability research agenda, you can read our first preprint on scalable SLT invariants and check out the lectures from the SLT & Alignment summit. Overview of Projects Here's the selection of the projects underway, some of which you would be expected to contribute to. These tend to be on the more experimental side: Developing scalable estimates for SLT invariants: Invariants like the (local) learning coefficient and (local) singular fluctuation can signal the presence of "hidden" phase transitions. Improving these techniques can help us better identify these transitions. DevInterp of vision models: To what extent do the kinds of circuits studied in the original circuits thread emerge through phase transitions? DevInterp of program synthesis: In examples where we know there is rich compositional structure, can we see it in the singularities? Practically, this means studying settings like modular arithmetic (grokking), multitask sparse parity, and more complex variants. DevInterp of in-context learning & induction heads: Is the development of induction heads a proper phase transition in the language of SLT? More ambitiously, can we apply singular learning theory to study in-context learning and make sense of "in-context phase transitions." DevInterp of language models: Can we detect phase transitions in simple language models (like TinyStories). Can we, from these transitions, discover circuit structure? Can we extend these techniques to larger models (e.g., in the Pythia suite). DevInterp of reinforcement learning models: To what extent are phase transitions inv...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Open Call for Research Assistants in Developmental Interpretability, published by Jesse Hoogland on August 30, 2023 on LessWrong. We are excited to announce multiple positions for Research Assistants to join our six-month research project assessing the viability of Developmental Interpretability (DevInterp). This is a chance to gain expertise in interpretability, develop your skills as a researcher, build out a network of collaborators and mentors, publish in major conferences, and open a path towards future opportunities, including potential permanent roles, recommendations, and successive collaborations. Background Developmental interpretability is a research agenda aiming to build tools for detecting, locating, and understanding phase transitions in learning dynamics of neural networks. It draws on techniques from singular learning theory, mechanistic interpretability, statistical physics, and developmental biology. Position Details General info: Title: Research Assistant / Research Engineer. Location: Remote, with hubs in Melbourne and London. Duration: Until March 2024 (at minimum). Compensation: base salary is USD$35k per year, to be paid out as an independent contractor at an hourly rate. Timeline: Application Deadline: September 15th, 2023 Ideal Start Date: October 2023 How to Apply: Complete the application form by the deadline. Further information on the application process will be provided in the form. Who We Are The developmental interpretability research team consists of experts across a number of areas of mathematics, physics, statistics and AI safety. The principal researchers: Daniel Murfet, mathematician and SLT expert, University of Melbourne. Susan Wei, statistician and SLT expert, University of Melbourne. Jesse Hoogland, MSc. Physics, SERI MATS scholar, RA in Krueger lab We have a range of projects currently underway, led by one of these principal researchers and involving a number of other PhD and MSc students from the University of Melbourne and collaborators from around the world. In an organizational capacity you would also interact with Alexander Oldenziel and Stan van Wingerden. You can find us and the broader DevInterp research community on our Discord. Beyond the Developmental Interpretability research agenda, you can read our first preprint on scalable SLT invariants and check out the lectures from the SLT & Alignment summit. Overview of Projects Here's the selection of the projects underway, some of which you would be expected to contribute to. These tend to be on the more experimental side: Developing scalable estimates for SLT invariants: Invariants like the (local) learning coefficient and (local) singular fluctuation can signal the presence of "hidden" phase transitions. Improving these techniques can help us better identify these transitions. DevInterp of vision models: To what extent do the kinds of circuits studied in the original circuits thread emerge through phase transitions? DevInterp of program synthesis: In examples where we know there is rich compositional structure, can we see it in the singularities? Practically, this means studying settings like modular arithmetic (grokking), multitask sparse parity, and more complex variants. DevInterp of in-context learning & induction heads: Is the development of induction heads a proper phase transition in the language of SLT? More ambitiously, can we apply singular learning theory to study in-context learning and make sense of "in-context phase transitions." DevInterp of language models: Can we detect phase transitions in simple language models (like TinyStories). Can we, from these transitions, discover circuit structure? Can we extend these techniques to larger models (e.g., in the Pythia suite). DevInterp of reinforcement learning models: To what extent are phase transitions inv...

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202308 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202307 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202306 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202305 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202304 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202303 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202302 - La théorie des invariants et les espaces de modules

xBảo Châu NgôCollège de FranceFormes automorphes (chaire internationale)Année 2022-202301 - La théorie des invariants et les espaces de modules

In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University.  Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!Outline- 00:00 - Intro - 07:48 - Early years at Berkeley  - 10:25 - The role of theory in practice - 16:19 - On traveling (intellectually)- 19:40 - Convex optimization  - 31:51 - On Linear Matrix Inequalities (LMIs) - 39:57 - Convex Optimization Control Policies  (COCPs)- 50:20 - CVX and Disciplined Convex Programming (DCP)- 58:14 - About AI - 1:03:58 - Teaching - 1:11:07 - Open source and publishing - 1:15:13 - Future of control and advice to future students - 1:20:08 - OutroEpisode links- Stephen's website: https://tinyurl.com/yrmk6p2w - CSM acceptance speech: https://tinyurl.com/43yhs583- L. Chua: https://tinyurl.com/k4zx4vya - C. Desoer: https://tinyurl.com/4euxvcxx - S. Sastry: https://tinyurl.com/2p9hfrha - G. Dantzig: https://tinyurl.com/2s4m3jvz - Simplex algorithm: https://tinyurl.com/2r8bxwe5 - Interior point methods: https://tinyurl.com/4ev4z6zm - Invariants and dissipated quantities: https://tinyurl.com/43zswmwt - Linear matrix inequalities: https://tinyurl.com/4y57date - COCP paper: https://tinyurl.com/468apvdx - Keynote talk at L4DC: https://tinyurl.com/2y3z4v68 - Model Predictive Control (MPC): https://tinyurl.com/bdf8r2sx - DCP: https://tinyurl.com/yc38kvae  - YALMIP: https://tinyurl.com/mr3rk2r4 - Stephen's books: https://tinyurl.com/52v9fu83Podcast 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

Michael Malice joins the show to talk about his new book, "Simmer: A Novel." Lexman and Malice discuss the cementite in simmer, the arhythmia in the novel, and the invariants of the story. They also discuss the sestets and granulation of the novel.

@tammohesselink has always been enthralled by rhythm. He explores the unknown areas in between the UK's broken beats and hypnotic trans-Atlantic techno. Hailing from a small town, he did things himself to start with and soon turned heads with his respected The Invariants label. After that began to get wider attention for its spacious and supple sounds, he went on to become a regular on Nous'klaer Audio and has just minted another new label, Real View Memory. The first EP, Borrowed Wheels, touches on percussive techno abstractions, halftime drum & bass and deep, atmospheric bass. All of that comes out in this week's mix. It is a 90-minute showcase of Tammo's ability to lay down body-popping rhythms. Sometimes they are silky and seductive and worm their way deep into your psyche, at others that are heavy, upfront and smack you over the head. The skillful balance between the moments of airy suspense and dense, unrelenting drums is what makes this selection so compelling.

'élection présidentielle de 2022, le thème de l'immigration occupe déjà une place majeure au sein des débats politiques. Un sujet omniprésent, alors même que l'immigration ne fait pas partie des principaux sujets d'inquiétude des Français interrogés pour un sondage Harris Interactive publié début septembre. Au cœur des discussions, deux invariants : le nombre d'immigrés arrivés sur le sol français et le regroupement familial.

“Seriously good software is not just software that works. It is not just software that satisfies its functional requirements, so it does the right thing, but it also does it in the right way." Marco Faella is an associate professor at the University of Naples Federico II and the author of “Seriously Good Software”. In this episode, Marco explained what he means by seriously good software, looking at software quality from multiple different perspectives. We then dived deep into several of those software qualities with some practical tips on how software engineers can improve their craft to produce high-quality software. Towards the end, we also touched on the concept of minimum viable code, why it is important to have an idea of what the ideal code looks like, while still being practical in finding the right compromise. Listen out for: Career Journey - [00:05:00] Role of Education for Software Engineers - [00:07:18] Seriously Good Software - [00:12:02] Software Quality Quadrants - [00:17:15] Speed and Time Efficiency - [00:20:23] Space and Memory Efficiency - [00:24:10] Reliability Through Monitoring - [00:26:54] Invariants - [00:32:11] Reliability Through Testing - [00:33:43] Readability - [00:36:15] Reusability - [00:39:25] Thread-Safety - [00:41:17] Minimum Viable Code - [00:46:29] 3 Tech Lead Wisdom - [00:48:44] _____ Marco Faella's Bio Marco Faella is an associate professor in the Department of Electrical Engineering and Information Technologies at the University of Naples Federico II in Italy. Besides his research on theoretical computer science, Marco is a passionate teacher and programmer. For the last 13 years he has been teaching classes on advanced programming and has published a Java certification manual and a video course on Java streams. More recently, Marco has released his book titled “Seriously Good Software” that teaches techniques for writing high quality software. Follow Marco: LinkedIn – https://www.linkedin.com/in/marco-faella-8675574/ Twitter – https://twitter.com/m_faella Website – http://wpage.unina.it/m.faella Our Sponsor This episode is proudly sponsored by Emergence, the journal of business agility. This quarterly publication brings you inspiring stories from the most innovative companies and explores themes of new ways of working, reclaiming management, and humanizing business. Each issue is hand illustrated and 100% content. Use the promo code “techlead” to get a 10% discount on your annual subscription. Visit businessagility.institute/emergence to get your edition and support the publication supporting your podcast. Like this episode? Subscribe on your favorite podcast app and submit your feedback. Follow @techleadjournal on LinkedIn, Twitter, and Instagram. Pledge your support by becoming a patron. For more info about the episode (including quotes and transcript), visit techleadjournal.dev/episodes/52.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.07.285569v1?rss=1 Authors: Durairaj, J., Akdel, M., de Ridder, D., van Dijk, A. D. J. Abstract: Motivation: As the number of experimentally solved protein structures rises, it becomes increasingly appealing to use structural information for predictive tasks involving proteins. Due to the large variation in protein sizes, folds, and topologies, an attractive approach is to embed protein structures into fixed-length vectors, which can be used in machine learning algorithms aimed at predicting and understanding functional and physical properties. Many existing embedding approaches are alignment-based, which is both time-consuming and ineffective for distantly related proteins. On the other hand, library- or model-based approaches depend on a small library of fragments or require the use of a trained model, both of which may not generalize well. Results: We present Geometricus, a novel and universally applicable approach to embedding proteins in a fixed-dimensional space. The approach is fast, accurate, and interpretable. Geometricus uses a set of 3D moment invariants to discretize fragments of protein structures into shape-mers, which are then counted to describe the full structure as a vector of counts. We demonstrate the applicability of this approach in various tasks, ranging from fast structure similarity search, unsupervised clustering, and structure classification across proteins from different superfamilies as well as within the same family. Availability: Python code available at https://git.wur.nl/durai001/geometricus Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.26.268680v1?rss=1 Authors: Kostinski, S., Reuveni, S. Abstract: Eukarya and Bacteria are the most evolutionarily distant domains of life, which is reflected by differences in their cellular structure and physiology. For example, Eukarya feature membrane-bound organelles such as nuclei and mitochondria, whereas Bacteria have none. The greater complexity of Eukarya renders them difficult to study from both an experimental and theoretical perspective. However, encouraged by a recent experimental result showing that budding yeast (a unicellular eukaryote) obeys the same proportionality between ribosomal proteome fractions and cellular growth rates as Bacteria, we derive a set of relations describing eukaryotic growth from first principles of ribosome biogenesis. We recover the observed ribosomal protein proportionality, and then continue to obtain two growth-laws for the number of RNA polymerases synthesizing ribosomal RNA per ribosome in the cell. These growth-laws, in turn, reveal two invariants of eukaryotic growth, i.e. quantities predicted to be conserved by Eukarya regardless of growth conditions. The invariants, which are the first of their kind for Eukarya, clarify the coordination of transcription and translation kinetics as required by ribosome biogenesis, and link these kinetic parameters to cellular physiology. We demonstrate application of the relations to the yeast S. cerevisiae and find the predictions to be in good agreement with currently available data. We then outline methods to quantitatively deduce several unknown kinetic and physiological parameters. The analysis is not specific to S. cerevisiae and can be extended to other lower (unicellular) Eukarya when data become available. The relations may also have relevance to certain cancer cells which, like bacteria and yeast, exhibit rapid cell proliferation and ribosome biogenesis. Copy rights belong to original authors. Visit the link for more info

We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University, with dual appointments as the Director of the Geometric Media Lab, and Interim Director of the School of Arts, Media, and Engineering. Pavan gave a keynote presentation at the Differential Geometry in CV and ML Workshop, speaking on Revisiting Invariants with Geometry and Deep Learning. In our conversation, we go in-depth on Pavan’s research integrating physics-based principles into computer vision. We also discuss the context of the term “invariant,” and the role of architectural, loss function, and data constraints on models. Pavan also contextualizes this work in relation to Hinton’s similar Capsule Network research. Check out the complete show notes for this episode at twimlai.com/talk/386.

With tracks from Cosmo Vitelli, Ebi, DJ Ungel, Beesmunt Soundsystem, The Invariants, Skee Mask, The Soviet Union, Ozzy, Isolating, Nacho M. Meyer, Chris Zippel, WAV (Wata Igarashi & Voiski) and Underworld. Follow Pharma here: https://soundcloud.com/pharmahplc

Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you

We've talked about contracts before, but this week Björn Fahller joins us to give us his thoughts, based on his recent talk at C++ on Sea. This is all pre-Kona - the recent Standards meeting that saw several tweaks to the wording for contracts in the draft standard for C++20. Björn gives us a refresher of what contracts actually are, and how many of us have been using them in some form for years - even decades. Then we discuss what's actually going into C++20, why that's worth having compared to assert() or hand-rolled or library solutions - but also what the shortcomings are - including a couple of weakenesses that have cause some to think that contracts may be 'dead on arrival'. Where does the truth lie? Björn makes his case and (somewhat boringly) Jon and Phil tend to agree. But what does it matter? The whole show is undefined behaviour, anyway.

The first episode in a series looking at the incredible contributions of JJ Gibson to the study of perception and action.  What is direct perception? What are invariants? How do these ideas form the foundation for ideas like the constraints led approach and ecological dynamics?   Articles: The Ecological Approach to Visual Perception The Senses Considered as Perceptual Systems Perception with an Eye for Motion   More information: http://perceptionaction.com/ My Research Gate Page (pdfs of my articles) My ASU Web page Podcast Facebook page (videos, pics, etc)   Subscribe in iOS/Apple Subscribe in Anroid/Google   Support the podcast and receive bonus content   Credits: The Flamin' Groovies - Shake Some Action Mark Lanegan - Saint Louis Elegy via freemusicarchive.org and jamendo.com

Brenda and Sally run in opposite directions on a circular track, starting at diametrically opposite points. They first meet after Brenda has run 100 meters. They next meet after Sally has run 150 meters past their first meeting point. Each girl runs at a constant speed. // What is the length of the track in meters? // (Also, a challenge for all listeners.) // Spiciness: *** out of ****

I have four lengths of rope. I hold them so that you can see all eight ends, but you can’t tell which end connects to which other end. You pick a pair of ends, and I tie them together. We repeat -- you pick, I tie -- until we run out of ends. // What’s the expected value of the number of loops you’ll have at the end? Or, in plain English, if we play this game a zillion times, what’s the average number of loops I’ll get per game? Note: the correct answer is not a whole number.

Hrusak, M [Universidad Nacional Autónoma de México (UNAM)] Wednesday 16th December 2015 - 15:00 to 16:00

Topologische Invarianten sind von zentraler Bedeutung für die Interpretation vieler Phänomene kondensierter Materie. In dieser Arbeit wird die erste Messung einer solchen Invarianten vorgestellt. Dazu wird ein neu entwickeltes Messprotokoll mit ultrakalten bosonischen Atomen in einem eindimensionalen optischen Gitter verwendet. Außerdem wird die Messung chiraler Meissner-Ströme in einer Leitergeometrie in einem künstlichen Magnetfeld sowie die Präparation sogenannter "Resonating Valence Bond"-Zustände (RVB) in vier Gitterplätze umfassenden Plaketten präsentiert. Das Hauptmerkmal des experimentellen Aufbaus ist ein Paar orthogonaler Übergitter-Potentiale, die es ermöglichen eine Vielzahl verschiedener Systeme zu simulieren. Die Modulation des Übergitters mit einem weiteren Paar interferierender Strahlen ermöglicht zu dem die Realisierung eines künstlichen Magnetfelds. Die Zak-Phase ist eine Invariante, welche die topologischen Eigenschaften eines Energiebandes charakterisiert. Sie ist definiert als die Berry-Phase eines Teilchens bei adiabatischem Durchlaufen eines Pfades im Quasiimpulsraum durch die Brillouinzone. Ein einfaches Beispiel für ein System mit zwei verschiedenen topologischen Klassen ist eine eindimensionale Kette mit alternierender Tunnelkopplungsstärke. Im Experiment können diese Klassen durch Messung der Differenz zwischen ihren Zak-Phasen $DetaPhi_text{Zak}approxpi$ unter Verwendung von Bloch-Oszillationen und Ramsey-Interferometrie in Übergittern unterschieden werden. Der zweite Teil dieser Arbeit befasst sich mit der Messung chiraler Meissner-Ströme von Bosonen in einer Leitergeometrie mit magnetischem Fluss, welche eines der einfachsten Modelle zur Beobachtung von Orbitaleffekten ist. Obwohl die Atome ladungsneutral sind und daher keine Lorentzkraft auf sie wirkt, kann durch eine externe Modulation im Übergitter ein künstliches Magnetfeld erzeugt werden. Die dadurch hervorgerufenen Wahrscheinlichkeitsströme auf beiden Seiten der Leiter wurden separat mit einer Projektionsmethode gemessen. Beim Ändern der Tunnelkopplung entlang der Leitersprossen wurde, in Analogie zu einem Typ-II Supraleiter, ein Übergang zwischen einer Meissner-artigen Phase mit gesättigtem maximalen chiralen Strom und einer Vortex-Phase mit abnehmendem Strom beobachtet. Dieses System mit ultrakalten Atomen kann auch als Analogon zur Spin-Bahn-Kopplung betrachtet werden. RVB-Zustände gelten als fundamental für das Verständnis von Hochtemperatursupraleitern. Der dritte Teil der Arbeit widmet sich mit der Realisierung eines Minimalbeispiels solcher Zustände auf einer Plakette bei halber Füllung. In diesem System wurden die zwei RVB-Zustände mit s- und d-Wellen-Symmetrie sowie Superpositionen der beiden Zustände präpariert. Die in dieser Arbeit vorgestellten Experimente stellen einen neuen Ansatz dar, die topologischen Eigenschaften von Bloch-Bändern in optischen Gittern zu untersuchen; sie öffnen die Türen zur Erforschung von wechselwirkenden Teilchen in niedrigdimensionalen Systemen in einem homogenen Magnetfeld sowie der Eigenschaften des Grundzustandes des Heisenberg-Modells.

Rubtsov, V (Université d'Angers) Friday 06 December 2013, 11:45-12:30

Majumdar, A (University of Bath) Tuesday 09 April 2013, 10:00-11:00

Manschot, J (Max-Planck-Institut fur Mathematik, Bonn) Friday 20 January 2012, 12:00-13:00

Gross, M (UCSD) Friday 17 June 2011, 14:00-15:00

Toda, Y (IPMU, Japan) Thursday 05 May 2011, 15:15-16:15 Spitalfields Day

Soibelman, I (Kansas State) Friday 15 April 2011, 09:30-10:30

Diaconescu, DE (Rutgers) Thursday 14 April 2011, 11:30-12:30

Davison , B (Oxford) Wednesday 06 April 2011, 16:30-17:30

Patrick Draper gives a talk about how if collider experiments demonstrate that the Minimal Supersymmetric Standard Model (MSSM) is a good description of nature at the weak scale, the experimental priority will be the precise determination of superpartner masses.

Lecture 11: Carmichale explains the use of invariants for dense and sparse matching, as well as some various kinds of invariants.

In this thesis, we prove that many asymptotic invariants of closed manifolds depend only on the image of the fundamental class under the classifying map of the universal covering. Examples include numerical invariants that reflect the asymptotic behaviour of the universal covering, like the minimal volume entropy and the spherical volume, as well as properties that are qualitative measures for the largeness of a manifold and its coverings, like enlargeability and hypersphericity. Another important class of invariants that share the above invariance property originates from universal volume bounds. The main example is the systolic constant, which encodes the relation between short noncontractible loops and the volume of a manifold. Further interesting examples are provided by the optimal constants in Gromov's filling inequalities, for which we show that they depend only on the dimension and orientability. Considering higher-dimensional generalizations of the systolic constant, a complete answer to the question about the existence of stable systolic inequalities is given. In the spirit of the results mentioned already, we also prove that the stable systolic constant depends only on the image of the fundamental class in a suitable Eilenberg-Mac Lane space.

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