Podcasts about dynamical systems

Chris and Elecia talk about Murderbot,  LLMs (AI), bikes, control algorithms, and fancy math.  The website with the ecology jobs is wildlabs.net from 501: inside the Armpit of Giraffe with Meredith Palmer and Akiba..  The algorithm Elecia mentioned was from Patent US7370713B1. The Control Bootcamp YouTube series is a great introduction to control systems beyond PIDs There is also a book from the same folks (with matlab and some python code): Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Finding bad AI interactions is too easy. Copilot PR mess that was discussed. Lawyers letting ChatGPT hallucinate precedents. Fake (hallucinated) citations in a high-profile report on children's health. Transcript Nordic Semiconductor has been the driving force for Bluetooth Low Energy MCUs and wireless SoCs since the early 2010s, and they offer solutions for low-power Wi-Fi and global Cellular IoT as well. If you plan on developing robust and battery-operated applications, check out their hardware, software, tools, and services. On academy.nordicsemi.com, you'll find Bluetooth, Wi-Fi, and cellular IoT courses, and the Nordic DevZone community covers technical questions:  devzone.nordicsemi.com. Congratulations to the giveaway winners!

In this episode of Deep Dives with Iman, host Iman Mossavat speaks with Prof. Yulia Sandamirskaya, head of the Center for Cognitive Computing in Life Sciences at ZHAW, Switzerland. Her research centers on developing neuromorphic embodied AI for robotic applications, particularly in elderly care and healthcare. She emphasizes the need for perception and efficiency in robots that interact with humans, describing how her work uses dynamical systems and attractor networks inspired by biological processes to meet these demands. The discussion also explores how her models provide alternative, data-efficient approaches to building more robust AI systems.#embodied_cognition, #AI, #cognitive_computing, #care_robotics, #dynamical_systems, #neural_fieldsRadio4Brainport.org DAB+, 747 AM in Eindhoven, NL

Nicole Rust describes her career-changing literary journey of joy, free will and the evolution of a field.

Nicole Rust describes her career-changing literary journey of joy, free will and the evolution of a field.

This episode features Vikram Pakrashi in conversation with Lorraine Hanlon and David McKeown from UCD, who share their experience of working on EIRSAT-1, Ireland's first satellite. Burning Questions is a conversation podcast that shines a spotlight on expertise in the fields of the engineering, mechanics and computer science across the island of Ireland. Each episode is structured around an interview with a leader/leaders in their field who will share insights into projects and research that have a tangible impact on the world around us. Lorraine Hanlon is Professor of Astronomy at UCD and Director of UCD's Centre for Space Research. She did her undergraduate (BSc) and graduate (MSc and PhD) degrees in Experimental Physics and was a research fellow and an EU Human Capital and Mobility fellow at the European Space and Technology Research Centre (ESTEC) in the Netherlands, ESA's establishment for space mission development. Lorraine is currently Chair of ESA's Astronomy Working Group and is a member of the ESA Space Science Advisory Committee. She also serves as science advisor to the Irish delegation to the ESA Science Programme Committee and is a member of the National Advisory Committee for the European Southern Observatory. She is a former trustee of the Royal Astronomical Society and Chair of the INTEGRAL Users' Group. Her main research interests are in high-energy astrophysics, gamma-ray bursts, multi-messenger astronomy, robotic telescopes, and space instrumentation. She is the Endorsing Professor for EIRSAT-1, Ireland's first satellite, a CubeSat developed by an interdisciplinary team of UCD students and staff under ESA's ‘Fly Your Satellite!' programme. David McKeown is Assistant Professor in the School of Mechanical and Materials Engineering, University College Dublin. His research focuses on the modelling and control of large flexible aerospace structures and the testing and verification of attitude determination and control systems (ADCS) for Nanosatellites. He was the Engineering Manager for the EIRSAT-1, Ireland's First Satellite which was recently launched. He is also the Principal Investigator on the European Space Agency funded DEAR project, building a robotic arm breadboard to test Lunar dust mitigation strategies. In collaboration with Lorraine, his team is building an ADCS testbed as part of the SFI funded NANO-SPACE project. He is a founding member of the UCD Centre for Space Research (C-Space) and the Lead academic for the Space Structure Dynamics and Control Theme. Vikram Pakrashi is Associate Professor in Mechanical Engineering and Director of Dynamical Systems and Risk Laboratory (DSRL) in UCD. Vikram is a Chartered Engineer and has served both industry and academia working on numerical and experimental applications of dynamics and risk/probabilistic analysis on traditional (roads, bridges) and bourgeoning (wind/wave energy devices and platforms) sectors of built infrastructure. is recent research activities involve structural health monitoring, analysis of dynamic systems, vibration control, experimental methods in dynamics, damage detection algorithms and the use of new technologies for such applications. Vikram has supervised and mentored several doctoral and postdoctoral researchers and has received multiple awards for his research and leadership activities. He currently works with a dynamic and motivated team in DSRL close to industrial needs.

How can we better understand sports injury by considering factors such as good variability, coordination, and movement synergies using a dynamical systems approach? Articles:From microscopic to macroscopic sports injuries. Applying the complex dynamic systems approach to sports medicine: a narrative review Early-warning signals for critical transitions 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 – ShakeSome Action Mark Lanegan - Saint Louis Elegy via freemusicarchive.org and jamendo.com

On the show today, we interview Dr Aaron Ames, Professor of Mechanical and Civil Engineering and Control and Dynamical Systems at CalTech. Dr Ames is also a cofounder and Chief Scientist of 3Laws - a company, providing safety-critical controls architecture for robotics companies. We talk about the last decade of development for bipedal locomotion and the recent evolution of humanoid robots since Dr Ames has been researching and investigating this interesting research area since his postdoc days. You'll also learn about the core technology that's driving robotic safety algorithms and why 3Laws came together to deliver a solution for any robotic system. You can learn more about 3Law on the web at:3lawsrobotics.io

-----------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. Randall Beer is Professor of Cognitive Science and Informatics at Indiana University Bloomington. Dr. Beer's primary research interest is in understanding how coordinated behavior arises from the dynamical interaction of an animal's nervous system, its body and its environment. Toward this end, he works on the evolution and analysis of dynamical "nervous systems" for model agents, neuromechanical modeling of animals, biologically-inspired robotics, and dynamical systems approaches to behavior and cognition.   In this episode, we talk about biology and cognitive science. We first discuss autopoiesis, the work of Humberto Maturana and Francisco Varela, and how it relates to cognition. We talk about motor behavior, a brain-body-environment framework, studying locomotion in C. elegans, and connectomics. We discuss the relationship between biology and cognition, and enactivism. We talk about computational-representationalist approaches, and dynamical approaches in cognitive science. We go through the history of the situated, embodied, and dynamical framework in cognitive science, and 4E cognition. We discuss minimally cognitive agents, and AI systems. Finally, we talk about evo-devo approaches in biology, developmental bias, and the extended evolutionary synthesis. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, HANS FREDRIK SUNDE, BERNARDO SEIXAS, OLAF ALEX, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, JOHN CONNORS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, ADANER USMANI, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, DANIEL FRIEDMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ANTON ERIKSSON, CHARLES MOREY, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, BENJAMIN GELBART, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, ISMAËL BENSLIMANE, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, KATE VON GOELER, ALEXANDER HUBBARD, LIAM DUNAWAY, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, AND LUCY! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, AND NICK GOLDEN! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

------------------Support the channel------------ Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuy PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ------------------Follow me on--------------------- Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. Paul van Geert is Professor Emeritus of Developmental Psychology at the University of Groningen, Netherlands. He is renowned for his work on developmental psychology and the application of dynamical systems theory in social science. He is the author of A Dynamic Systems Model of Cognitive and Language Growth, Dynamic Systems of Development: Change between Complexity and Chaos, and, together with Naomi de Ruiter, Toward a Process Approach in Psychology: Stepping into Heraclitus' River.   In this episode, we talk about a dynamical systems theory approach to developmental psychology. We discuss what is the evidence for psychology being a dynamic system. We talk about levels of analysis, causality in psychology, and stages of development and critical periods. We discuss a process ontology, and how it differs from a substance ontology. We talk about 4E cognition. Finally, we discuss language development, and challenging Chomskyan views of it; and theory-of-mind development, and the idea of innateness. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, HANS FREDRIK SUNDE, BERNARDO SEIXAS, OLAF ALEX, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, JOHN CONNORS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, ADANER USMANI, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, DANIEL FRIEDMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ANTON ERIKSSON, CHARLES MOREY, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, BENJAMIN GELBART, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, ISMAËL BENSLIMANE, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, KATE VON GOELER, ALEXANDER HUBBARD, LIAM DUNAWAY, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, AND LUCY! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, AND NICK GOLDEN! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Catch RSR's Best of 2023 Bloopers!  Watch Fred & Doug, and occasional guest host Ryan Williams, flub some lines or just having fun behind the scenes during show production. This show is available on YouTube only.  Be sure to watch until the end credits for a tribute to the RSR staff.     This week Fred and Doug welcome scientist and creation researcher Sal Cordova, a bio-molecular physics researcher. He has published with the Federation of American Societies for Experimental Biology, Springer/Nature, Oxford University Press, and Creation Research Society Quarterly. His Christian testimony, life story, and advocacy of Intelligent Design (ID) appeared in the journal Nature. He was featured on national TV, radio, magazines and in the 2008 motion picture "Expelled". He presently holds five degrees: an MS in Applied Physics from Johns Hopkins, a BS in Computer Science, BS Electrical Engineering with a minor in Music, BS in Mathematics with a minor in Physics, an unaccredited MS equivalent in Biology. Sal is presently preparing to enter a doctoral program in Engineering, and graduated Dulles Aviation flight school.  He was a senior engineer and scientist in the aerospace and defense industry at MITRE (Massachusetts Institute of Technology, Research and Engineering) and Army Night Vision Labs. He worked for Cornell genetic engineer John C. Sanford in areas of population genetics and protein biology.   Debatable Evolutionary Biology: Watch Sal Debate the lowest order of all "scientists", (and we're sure he's a fine and decent man, Dan, the  evolutionary biologist)!   Keeping Up with the Joneses: Hear the breaking news regarding the implosion of evolutionary theory because of gene loss, (from the world of population genetics)!   Pick Up a Fellow Worker's Book: Be sure to pick up a copy of John Sanford's ground breaking book "Genetic Entropy!."   High End Reading List: Pick up a copy, (or two!) of the $1,000.00 book for which William Basener, Salvador Cordova, Ola Hössjer, and John Sanford contributed the chapter: Dynamical Systems and Fitness Maximization in Evolutionary Biology!  

Catch RSR's Best of 2023 Bloopers!  Watch Fred & Doug, and occasional guest host Ryan Williams, flub some lines or just having fun behind the scenes during show production. This show is only available on RSR's YouTube Channel.  Be sure to watch until the end credits for a tribute to the RSR staff.     This week Fred and Doug welcome scientist and creation researcher Sal Cordova, a bio-molecular physics researcher. He has published with the Federation of American Societies for Experimental Biology, Springer/Nature, Oxford University Press, and Creation Research Society Quarterly. His Christian testimony, life story, and advocacy of Intelligent Design (ID) appeared in the journal Nature. He was featured on national TV, radio, magazines and in the 2008 motion picture "Expelled". He presently holds five degrees: an MS in Applied Physics from Johns Hopkins, a BS in Computer Science, BS Electrical Engineering with a minor in Music, BS in Mathematics with a minor in Physics, an unaccredited MS equivalent in Biology. Sal is presently preparing to enter a doctoral program in Engineering, and graduated Dulles Aviation flight school.  He was a senior engineer and scientist in the aerospace and defense industry at MITRE (Massachusetts Institute of Technology, Research and Engineering) and Army Night Vision Labs. He worked for Cornell genetic engineer John C. Sanford in areas of population genetics and protein biology.   Debatable Evolutionary Biology: Watch Sal Debate the lowest order of all "scientists", (and we're sure he's a fine and decent man, Dan, the  evolutionary biologist)!   Keeping Up with the Joneses: Hear the breaking news regarding the implosion of evolutionary theory because of gene loss, (from the world of population genetics)!   Pick Up a Fellow Worker's Book: Be sure to pick up a copy of John Sanford's ground breaking book "Genetic Entropy!."   High End Reading List: Pick up a copy, (or two!) of the $1,000.00 book for which William Basener, Salvador Cordova, Ola Hössjer, and John Sanford contributed the chapter: Dynamical Systems and Fitness Maximization in Evolutionary Biology!  

Recorded on Aug 29, 2023 in München, Germany. Video version available on YouTube.Can we meaningfully talk about causality in dynamical systems?Some people are puzzled when it comes to dynamical systems and the idea of causation.Dynamical systems well-known in physics, social sciences, and biology are often thought of as a special family of systems, where it might be difficult to meaningfully talk about causal direction. Naftali Weinberger devoted his career to examining the relationships between system dynamics, causality and the phenomena known broadly as "complexity". We explore what does "intervention" mean in a dynamical system and we deconstruct common intuitions about causality and system's equilibrium. We discuss the importance of time scales when defining a causal system, analyze what could have inspired Bertrand Russell to say that causality is a "relic of a bygone age" and ponder the phenomenon of emergence. Finally, Naftali shares his advice for those of us just starting exploring the uncharted territory of causal inference and discovery. Warning: this conversation might bend your sense of reality. Use with caution! Ready to dive in? About The GuestNaftali Weinberger, PhD is a Researcher at Munich Center for Mathematical Philosophy at LMU. His research is focused on causality, dynamical systems and fairness. He works with scientists, researchers and philosophers around the globe helping them address challenges in diverse fields like climate change, psychometrics, fairness and more. Connect with Naftali: Naftali on Twitter/XNaftali on BlueSky Naftali's web pageAbout The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.Connect with Alex:Alex on the InternetLinks are available hereCausal Bandits TeamProject Coordinator: Taiba MalikVideo and Audio Editing: Navneet SharmCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4

Scientists studying ecological and embodied cognition try to use algorithms as little as they can. Instead, they favor dynamical systems, typically represented as a set of equations that share variables in a way that is somewhat looplike: component A changes, which changes component B, which changes component A, and so on. Peculiarities of behavior can be explained as such systems reaching stable states. This episode describes two sets of equations that predict surprising properties of what seems to be intelligent behavior.Source:Anthony Chemero, Radical Embodied Cognitive Science, 2011Either mentioned or came this close to being mentionedJames Clerk Maxwell, "On Governors", 1868 (PDF)Andy Clark, Being There: Putting Brain, Body, and World Together Again, 1997Stanford Encyclopedia of Philosophy, "Embodied Cognition", 2020Stanford Encyclopedia of Philosophy, "The Computational Theory of Mind", 2021Wikipedia, "Dynamical Systems Theory"Nick Bostrom, "Letter from Utopia", 2008/20CreditsThe image is from Maxwell's "On Governors", showing the sort of equations "EEs" work with instead of code.

This week Fred and Doug welcome scientist and creation researcher Sal Cordova, a bio-molecular physics researcher. He has published with the Federation of American Societies for Experimental Biology, Springer/Nature, Oxford University Press, and Creation Research Society Quarterly. His Christian testimony, life story, and advocacy of Intelligent Design (ID) appeared in the journal Nature. He was featured on national TV, radio, magazines and in the 2008 motion picture "Expelled". He presently holds five degrees: an MS in Applied Physics from Johns Hopkins, a BS in Computer Science, BS Electrical Engineering with a minor in Music, BS in Mathematics with a minor in Physics, an unaccredited MS equivalent in Biology. Sal is presently preparing to enter a doctoral program in Engineering, and graduated Dulles Aviation flight school.  He was a senior engineer and scientist in the aerospace and defense industry at MITRE (Massachusetts Institute of Technology, Research and Engineering) and Army Night Vision Labs. He worked for Cornell genetic engineer John C. Sanford in areas of population genetics and protein biology.   Debatable Evolutionary Biology: Watch Sal Debate the lowest order of all "scientists", (and we're sure he's a fine and decent man, Dan, the  evolutionary biologist)!   Keeping Up with the Joneses: Hear the breaking news regarding the implosion of evolutionary theory because of gene loss, (from the world of population genetics)!   Pick Up a Fellow Worker's Book: Be sure to pick up a copy of John Sanford's ground breaking book "Genetic Entropy!."   High End Reading List: Pick up a copy, (or two!) of the $1,000.00 book for which William Basener, Salvador Cordova, Ola Hössjer, and John Sanford contributed the chapter: Dynamical Systems and Fitness Maximization in Evolutionary Biology!  

This week Fred and Doug welcome scientist and creation researcher Sal Cordova, a bio-molecular physics researcher. He has published with the Federation of American Societies for Experimental Biology, Springer/Nature, Oxford University Press, and Creation Research Society Quarterly. His Christian testimony, life story, and advocacy of Intelligent Design (ID) appeared in the journal Nature. He was featured on national TV, radio, magazines and in the 2008 motion picture "Expelled". He presently holds five degrees: an MS in Applied Physics from Johns Hopkins, a BS in Computer Science, BS Electrical Engineering with a minor in Music, BS in Mathematics with a minor in Physics, an unaccredited MS equivalent in Biology. Sal is presently preparing to enter a doctoral program in Engineering, and graduated Dulles Aviation flight school.  He was a senior engineer and scientist in the aerospace and defense industry at MITRE (Massachusetts Institute of Technology, Research and Engineering) and Army Night Vision Labs. He worked for Cornell genetic engineer John C. Sanford in areas of population genetics and protein biology.   Debatable Evolutionary Biology: Watch Sal Debate the lowest order of all "scientists", (and we're sure he's a fine and decent man, Dan, the  evolutionary biologist)!   Keeping Up with the Joneses: Hear the breaking news regarding the implosion of evolutionary theory because of gene loss, (from the world of population genetics)!   Pick Up a Fellow Worker's Book: Be sure to pick up a copy of John Sanford's ground breaking book "Genetic Entropy!."   High End Reading List: Pick up a copy, (or two!) of the $1,000.00 book for which William Basener, Salvador Cordova, Ola Hössjer, and John Sanford contributed the chapter: Dynamical Systems and Fitness Maximization in Evolutionary Biology!  

In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr Yulia Sandamirskaya, who has just created the Neuromorphic Computing Group at Zurich University of Applied Sciences. We discuss the role that dynamical systems theory plays in robotics, her work at with Intel's Loihi platform, and what she plans to do in her new position at ZHAW, particularly related to vision. After that, Sunny discusses the interview with Giulia D'Angelo from the Italian Institute of Technology and Ralph Etienne-Cummings from Johns Hopkins University.

Professor Keith Davids is Professor of Motor Learning at the Centre for Sport and Exercise Science. Keith uses an Ecological Dynamics framework for investigating skill acquisition, expertise and talent development in sport. He is an applied scientist who researches how processes of learning, development, performance preparation and participation in sport, physical activity and exercise may be facilitated. He reviews implications for coaching and teaching at elite, sub-elite and recreational levels of participants, as part of his work. Ecological Dynamics is an integration of Ecological Psychology, Dynamical Systems theory, Evolutionary Science and the Science of Complex Systems, considering individual athletes and teams as complex adaptive systems, self-organising under interacting constraints. Such systems change over different timescales, which has significant implications for learning, development and ageing in children, adults and elderly people. He has over 30 years experience of teaching and conducting research in Ecological Dynamics with collaborators in UK, Portugal, France, Australia, Germany, New Zealand, Finland, Norway and Sweden in related fields like Sports Science, Psychology, Behavioural Neuroscience, Sports Coaching, Physical Education and Human Movement Science. He has held/holds research positions in the UK (Manchester Metropolitan University: 1991-2003), Finland (University of Jyvaskyla, Finnish Distinguished Professor: 2012-2016), New Zealand (University of Otago: 2003-2007), Australia (Queensland University of Technology: 2006-2014) and Norway (2020-22: Norwegian Sports Science University (NTNU, Trondheim), Adjunct Research Professor). His scientific research is applied in the work of international sports organisations (national and international teams in Association Football, NFL, Rugby Union and AFL) and national Institutes of Sport in Australia (AIS), New Zealand (NZSI), and England (EIS), as well as KIHU (Finnish Olympic Research Committee) and PESTA (Physical Education and Sports Teachers Association, Singapore). Keith is part of the Constraints Collective with Ian Renshaw, Will Roberts and Danny Newcombe: https://www.theconstraintscollective.com/ Keith is co-author of the 2019 book, The Constraints-Led Approach: Principles for Sports Coaching and Practice Design. You can find links to his other books here and journal publications here.

Here's something weird to think about. Can fluids think? No, we're not talking about a liquid metal shape-shifting creature like what we saw in Terminator 2. We're asking, can fluid systems make computations? In this episode, we chat with Professor Eva Miranda, head of the Laboratory of Geometry and Dynamical Systems at the Polytechnic University of Catalonia in Spain. She's on a mission exploring one of math's most famous open problems – the existence of solutions of the Navier-Stokes equation, which governs the flow of fluids such as water and air. Since the 1800's, researchers interested in how fluids flow have turned to Navier-Stokes. To investigate Navier-Stokes, Eva and her colleagues have constructed an abstract mathematical machine, a theoretical fluid computer, if you will. In this podcast, Professor Miranda tells us how a post from Australian Mathematician Terrence Tao inspired her, how she used geometry to construct her fluid computer, and why she believes that Navier-Stokes might not always be physically valid. Our host for this episode is Dr James Nichols.See omnystudio.com/listener for privacy information.

Dr Rob discusses a fundamental aspect of neo-Darwinism (Fisher's Theorem of Natural Selection) and how it fails mathematically. First postulated in 1930, Fisher's idea was promoted as something as firm and settled as the 2nd Law. Problem is, he made several incorrect assumptions that invalidate the whole thing. When you add realistic mutations to the scenario (e.g., Basener and Sanford's 'Fisher's Theorem of Natural Selection with Mutations'), you see that the net trajectory of evolution is downward. Why did it take 90 years to figure this out? Links: Basener and Sanford 2017 The fundamental theorem of natural selection with mutations Basener et al. 2021 Dynamical Systems and Fitness Maximization in Evolutionary Biology Keightley and Lynch 2003 Toward a realistic model of mutations affecting fitness Price 1972 Fisher's 'fundamental theorem' made clear Fisher 1930 The Genetical Theory of Natural Selection (Wikipedia page) Carter 2020 A successful decade for Mendel's Accountant

Dr Rob discusses a fundamental aspect of neo-Darwinism (Fisher's Theorem of Natural Selection) and how it fails mathematically. First postulated in 1930, Fisher's idea was promoted as something as firm and settled as the 2nd Law. Problem is, he made several incorrect assumptions that invalidate the whole thing. When you add realistic mutations to the scenario (e.g., Basener and Sanford's 'Fisher's Theorem of Natural Selection with Mutations'), you see that the net trajectory of evolution is downward. Why did it take 90 years to figure this out? Links: Basener and Sanford 2017 The fundamental theorem of natural selection with mutations Basener et al. 2021 Dynamical Systems and Fitness Maximization in Evolutionary Biology Keightley and Lynch 2003 Toward a realistic model of mutations affecting fitness Price 1972 Fisher's 'fundamental theorem' made clear Fisher 1930 The Genetical Theory of Natural Selection (Wikipedia page) Carter 2020 A successful decade for Mendel's Accountant

Alejandro Rodriguez Dominguez is Head of Quantitative Research and Analysis at Miralta Bank, Madrid. With extensive experience in financial engineering, he leads Data Analytics and Solutions in Quantitative Finance for the group. Through the creation of AI financial solutions for their clients, Alejandro develops data architecture for both regulatory and strategic reporting. Alongside the modeling and implementation of risk management practices for Miralta Bank, he creates data-driven market analysis tools for brokerage clients. Alejandro holds a PhD in Computer Science from the University of Reading, and a Master's degree in Artificial Intelligence from Munster Technological University. His research interests include Solutions for Continual Learning and Catastrophic Forgetting in AI, Information Geometry and AI, Correlation Dynamics (changes and forecasting), AI for Pricing, and Risk Management of Financial Products, and Systematic Trading Strategies with a focus on Pricing, Nowcasting, Dynamical Systems, and Statistics and Probability. Our conversation focused on the interaction of classic quantitative finance with machine learning, the use of random matrix theory in finance.

Books in the Video:   Series Playlist: https://www.youtube.com/playlist?list...   Facebook: https://www.facebook.com/Vervaeke.John/ Twitter: https://twitter.com/vervaeke_john   Thirtieth episode of Dr. John Vervaeke's Awakening from the Meaning Crisis.

納税フラグ回収、同僚とのバックカントリー、Ben Barres自伝、フリーアドレスについて雑談。論文紹介は、学習時の場所表象変化、Disynaptic specificity、ConVERGD、非モデル生物Caイメージング、発達期の心臓の相転移、など (2/25収録) Show Notes: AIBSのイメージングディレクター、Jack Waters Kaspar Podgorski iGluSnFr3 カスパーのブログ 滑落はニュースにもなってる 友人の友人が紹介してたブログ記事 １報目：The formation of an expanding memory representation in the hippocampus Adam CohenのところでAll-optical physiology ２報目：Disynaptic specificity of serial information flow for conditioned fear Stuberとか Kay Tyeがやり始めた”projection target specificity”の流れ 萩原さんによるTweetrial MiyamichiさんがLuoラボで立ち上げてたTRIO 2015年(?)のPAG論文 (すんません2016年です) CeAのCRF/SSTのFlight/Freezing論文 (すんません2017年です) David Andersonラボと出したPKC-δ論文 CAR論文 CAVとHSVを混ぜた系。なんか片方だとpreの細胞の場所が偏るとかよくわからないトロピズムがあって混ぜたということらしいです。 Nikolas Karalis 米原さんのGCaMP6sの初出 ３報目：A Novel Single Vector Intersectional AAV Strategy for Interrogating Cellular Diversity and Brain Function AllenによるLCのin vivoキャラクタライゼーションpreprint 波形で２種類あるのは分かっていた ４報目：Cortical activity emerges in region-specific patterns during early brain development in pouch エレポはメソッド論文が先に出ていた ５報目：Functional organization of visual responses in the octopus optic lobe ブタ2P論文 ６報目：A bioelectrical phase transition patterns the first beats of a vertebrate heart イジケビッチ本：Dynamical Systems in Neuroscience (PDF) Editorial Notes: どうも最近記憶してるreferenceの年が1-2年ズレる。単に歳なのか、paperpileが便利すぎて文献整理に記憶を必要としなくなっているからなのか(萩原) イカ養殖手法開発がBSIディレクター就任に繋がるとは(脇)

Anthony Chemero is professor of Philosophy and Psychology at the University of Cincinnati. His research interests include nonlinear dynamical modeling, ecological psychology, complex systems, phenomenology, and social cognition.

Igor Mezić is a mechanical engineer, mathematician, and Distinguished Professor of mechanical engineering and mathematics at the University of California, Santa Barbara. He is best known for his contributions to operator theoretic, data-driven approach to dynamical systems theory that he advanced via articles based on Koopman operator theory and his work on the theory of mixing. LINKS: https://en.wikipedia.org/wiki/Igor_Mezićhttps://www.linkedin.com/in/igor-mezi...https://www.researchgate.net/profile/...

You know how you put all your recycling—cans, bottles, cardboard, etc.—into the same bin? Well, have you ever wondered how all that stuff gets sorted out at the recycling factory? It's done mostly by humans.  If you watch a video about how it's done, rest assured you're not likely to apply for this job. These folks are standing at a conveyor belt with recyclable trash whizzing by them at every moment and they need to pick pieces off the line to put into the proper bins at a rate of 40 items per minute! It's tough to watch the work for 30 seconds, so imagine how tough it must be to do that work for hours every day.  Well, Matanya Horowitz had a different idea. He'd been obsessed with robots since he was a kid, and fresh out of his PhD program, he wondered whether he could teach robots to sort trash more effectively and efficiently than humans.  The dude started in 2014 by dumpster diving with his girlfriend to get trash which he could start training his AI on. Then he got some government grants to hire himself and a couple others. Fast forward to today, and Horowitz's AMP Robotics has raised $75 million from investors, employs 250 humans, has deployed a similar number of robots at recycling factories on three continents that have now sorted billions of pieces of trash, and has even opened their own recycling factory in Ohio.  Their robots pick at a rate of anywhere from 80 to 120 pieces per minute, don't need breaks, don't get covid, and importantly, they alter the economics of recycling to make it far more likely that what goes into the recycling bin actually ends up getting recycled. In this episode, we talk all about the economics of AMP's robots, the trajectory Matanya took from being an academic roboticist to becoming a CEO, the role venture capital has played in the company, what mistakes along the way were made, whether he thinks robots will ever become sentient, and more. It's an impressive and inspirational story from a scientist who's using his business to help solve a pressing sustainability problem for humanity. Discussed in this episode Matanya is influenced by the Jewish tale of Golem He's also a big fan of Isaac Asimov's work And he recommends reading The Innovator's Dilemma and Paul Graham's essays Matanya gave a cool TEDx speech about robotics   Want to read a transcript of this episode? You're in luck!    More about Matanya Horowitz Dr. Matanya Horowitz is the Founder and CEO of AMP Robotics™ an industrial artificial intelligence (AI) and robotics company that is fundamentally changing the economics of recycling, by lowering processing costs and extracting maximum value from waste streams. Matanya developed and commercialized AMP's breakthrough AI platform, AMP Neuron™, and robotics system, AMP Cortex™, which automates high-speed identification, sorting, picking, and processing of material streams. AMP's machine learning technology continuously improves performance adapting to the complex, ever changing material characteristics of municipal solid waste, construction and demolition (C&D), e-waste, and metal scrap. Recognizing attributes down to the SKU and Brand level, AMP can provide unprecedented data transparency and insights on waste streams to inform decisions and unite the value chain of circularity. Matanya was just individually recognized as Waste360's ‘2019 Innovator of the Year' award, in addition to being named to their ‘40 under 40' list. AMP has received numerous awards and international recognition, including The Circulars 2018 Award for ‘Circular Economy Top Tech Disruptor' at the World Economic Forum in Davos, and the NWRA's (National Waste and Recycling Association) ‘2017 Innovator of the Year' award. Matanya earned multiple degrees including a BS in Electrical Engineering, BS in Computer Science, BS in Applied Mathematics, BA in Economics, and MS in Electrical Engineering from the University of Colorado Boulder. Matanya holds a PhD in Control and Dynamical Systems from the California Institute of Technology with publications and research in control theory, path planning, and computer vision.

19 - Reward Model and Linear Dynamical Systems

Today on the Brain Booster with one of the legends of Skill Acquisition and Ecological Dynamics, Professor Keith Davids from Sheffield Hallam university We had a wonderful conversation a few years ago and we got the chance today to update the current position around skill acquisition and how this can benefit your game The problem with coaching models Over emphasis on body parts and what that does to the learning process The limitations of language The ecological perspective Adapting to and being in tune to your environment Solving the problem of the golf shot as a unique moment in time The myth of automaticity Repetition without repetition How coaches should constantly be setting players problems to solve How we should see the golf course as a series of puzzles to solve Dealing with and adapting to constant changes The extreme value of adaptability and how to perform on any given day What can rock climbing teach us about ADAPTABILITY As Keith says the very best athletes are the most ADAPTABLE How to engage your training in an ecological way As a Professor of Motor Learning in Sport & Human Performance, Keith uses an Ecological Dynamics framework for investigating skill acquisition, expertise and talent development in sport. He is an applied scientist who researches how processes of learning, development, performance preparation and participation in sport, physical activity and exercise may be facilitated. He reviews implications for coaching and teaching at elite, sub-elite and recreational levels of participants, as part of his work. Ecological Dynamics is an integration of Ecological Psychology, Dynamical Systems theory, Evolutionary Science and the Science of Complex Systems, considering individual athletes and teams as complex adaptive systems, self-organising under interacting constraints. Such systems change over different timescales, which has significant implications for learning, development and ageing in children, adults and elderly people. He has over 30 years experience of teaching and conducting research in Ecological Dynamics. For the research archive Keith mentioned go to www.shura.shu.ac.uk To become a Certified Mind Factor Coach go to   https://themindfactor.net/the-certification-course/  

In this month's podcast, our guest is Marcelo Viana, researcher and director of the Institute for Pure and Applied Mathematics, IMPA, in Rio de Janeiro, Brazil.In this episode, we've invited him to talk about the challenges and the opportunities of doing research in mathematics in Latin America, the role of IMPA in the development of mathematical research in the region, and the perspectives of regional and global cooperation.Marcelo Viana obtained his PhD at the Institute for Pure and Applied Mathematics, in 1990, six years after finishing his undergraduate studies at the University of Porto, Portugal. His main research interests are in Dynamical Systems and Theory of Chaos. He has received many prizes and distinctions, among them the Ramanujan Prize from the International Center for Theoretical Physics of Trieste, in 2005, and the Grand Prix Scientifique Louis D. from the Academy of Sciences of Paris, France, in 2016. He has supervised over forty PhD students and published over sixty papers and more than ten books. Viana is also the Editor-in-Chief of the Bulletin of the Brazilian Mathematical Society.He will be hosted by Robinson dos Santos, Editor for Mathematics.

Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Science, Research, Higher Education, Lecturing and Teaching. Strong education professional with a Bachelors focused in Sports Science and a PhD in Kinesiology from Ss. Cyril and Methodius University.

We hosted a discussion with Physiotherapist and Strength & Conditioning Coach Steve Collins on – Dynamic Systems Theory in the context of clinical practice Common scenarios and examples when working with athletes and general population clients Principles of Strength & Conditioning for prescriptions and programming Top-down vs bottom-up approach in clinic Shared decision making and … Continue reading Steve Collins – Dynamical Systems Theory in Clinic →

This is the second in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. In this episode, the panelists discuss their experiences with linear systems, real neurons, and dynamic networks.

I've got a treat for you today. Today's author's are Gourab Ghoshal and Petter Holme, who are here to talk about a classic paper. A paper they co-authored and published in PRL in 2006. The paper has a fantastic title, which is basically also a mini abstract. It is called “Dynamics of Networking Agents Competing for High Centrality and Low Degree” (1). In the podcast we get into it!Gourab is at at Rochester University, where he is an Associate Professor of Physics and Astronomy with joint appointments at the departments of Computer Science and Mathematics. He works in the field of Complex Systems. His research interests are in the theory and applications of Complex Networks as well as Non-equilibrium Statistical Physics, Game theory, Econophysics, Dynamical Systems and the Origins of Life.Petter is Swedish scientist living and working in Japan, where he is a Specially Appointed Professor at the Institute of Innovative Research at the Tokyo Institute of Technology. His research focuses on large-scale structures in society, technology and biology; mostly trying to understand them as networks.# Timestamps[0:00:00] Intro and friendly banter[0:04:00] Gourab's dream of becoming Richard Feynman[0:10:10] Petter becomes a network scientist by accident[0:17:45] We dive into the paper! (+ discuss complex systems in general)# References(1) https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.96.098701

A recent award by the Defense Advanced Research Projects Agency, DARPA, to the University of Massachusetts is aimed at advancing machine learning in a way that mimics the human mind. The award went to the university's Biologically Inspired Neural and Dynamical Systems, or BINDS, lab. For what this research is all about and why it's important, the BINDS Lab director, Hava Siegelmann.

On this week's episode of The Encrypted Economy, my guest is Igor Mezic, a Professor of Mechanical Engineering at UC Santa Barbra, and the CTO of MixMode.AI. Igor is a leading innovator ona methodology known as the Koopman Operator, which is commonly used in modern AI. We discuss the fundamentals of the Koopman operator and itsunderlying mathematical theories, followed by a journey through the practical areas where Igor has put it to use. From jet engines, to cybersecurity, to smart buildings, this is an episode of the Encrypted Economy you will not want to miss. If you like this episode, be sure to subscribe to the podcast and leave us your thoughts on what you would like to hear next. To learn more about Igor and the Koopman Operator, check out our list of episode resources below. Topics Covered Igor's Introduction to Science Finite Dynamical System Analysis Linear vs Non-Linear Systems The Koopman Operator The Problem With Machine Learning The Chaos of Rule-Based AI Applying Koopman to Healthcare, AI, Commerce, and Security IOT Device Security Threats Igor's Work on Smart Buildings How MixMode uses Koopman Resource Links Igor's LinkedIn MixMode's Website Mezic Research Group at UC Santa Barbra  AimDyn's Website Igor's ResearchGate Profile Koopman Operator, Geometry, and Learning Spectrum of the Koopman Operator, Spectral Expansions in Functional Spaces, and State-Space GeometryIgor's Lecture on the Koopman Operator Introduction to the Koopman Operator Theory of Dynamical Systems SIAM's JD Crawford Prize What are Dynamical Systems? A Simple Introduction to Ergodic Theory Eigenfunctions & Eigenvalues Bernard Koopman Biography Lorenz System - UCSB Our Episode with Paul Clayson Oldsmar, Florida Water Hack Australian Sewage Spill Case Study Ukraine Power Grid Hack Igor's Email – Mezic@ucsb.edu 

Today's episode features Kleiner Perkins Investor Haomiao Huang, PhD. With all the recent and continued media hype around tech flight to Austin (and Miami), we wanted to get on the ground perspective from Sand Hill Road. As a bonus, Haomiao grew up in Austin (he and Bingham Group CEO A.J. attended the same high school - Go Jags!). Haomiao also discusses his path into the venture capital world, and thoughts on being a good investor. You can listen to this episode and previous ones on Spotify, Apple Podcasts, and SoundCloud. Please like, link, comment and subscribe! DISCLAIMER: Nothing contained in this episode or above should be construed as investment advice. ABOUT GUEST Haomiao joined Kleiner Perkins in 2019 to work on early-stage hardtech investments. He is a passionate reader on history and politics and loves to cook in his spare time, particularly Texas BBQ. Haomiao was a National Science Foundation Graduate Research Fellow at Stanford and received his M.S., Ph.D in Aeronautics & Astronautics. He graduated from Caltech B.S. (with honors) in Electrical Engineering with a minor in Control and Dynamical Systems. CONTACTS: LinkedIn -> https://www.linkedin.com/in/haomiao-huang-phd-87988222/ Twitter -> @haomiaoh ABOUT KLEINER PERKINS For five decades, Kleiner Perkins has made history by partnering with some of the most ingenious and forward-thinking founders in technology and life sciences. Through twenty venture funds and four growth funds we've invested $10 billion in hundreds of companies including pioneers such as Amazon, Genentech, and Google. Today, Kleiner Perkins continues to help founders and their bold ideas make history investing in companies like Desktop Metal, IronNet, Ring, Spotify, Slack, and UiPath. Website -> https://www.kleinerperkins.com/ Facebook -> https://www.facebook.com/kleinerperkinsprofile Twitter -> @kleinerperkins Instagram -> @kleiner_perkins LinkedIn -> https://www.linkedin.com/company/kleinerperkins/ RELATED EPISODE Episode 129: Discussing Austin's Tech Community with Jason Fernandez, Managing Partner & COO, Quake Capital -> https://soundcloud.com/the-bingham-group-llc/bg-podcast-episode-129 ABOUT THE BINGHAM GROUP, LLC The Bingham Group, LLC is minority-owned full service lobbying firm representing and advising clients on government affairs, public affairs, and procurement matters in the Austin metro and throughout Central Texas. Learn more about us at: www.binghamgp.com PART OF THE BG MEDIA GROUP NETWORK -> https://www.bgmediagp.com/

[Previously in sequence: Taxometrics] I. Imagine Alice has a chronic disease. Luckily, as long as she has a job, she will have health insurance. And health insurance provides her with a treatment. Every day she takes the treatment, her health will go up one point on a 0-100 scale; every day she misses the treatment, it will go down one point. If her health ever gets below 75, she will be too ill to work. Mathematicians would call this a dynamical system with three variables: does she have a job or not, does she have insurance or not, and her health level. We know from the rules above that j always equals i, and that j is 1 as long has h is 75 or higher. And every day i = 1, h goes up one; every day i = 0, h goes down 1. Alice starts with a job and health of 100. Since j = 1 and i = 1, health goes up one each day, but it’s maxed out at 100 so it just says there. This state is perfectly stable; as long as the system follows the rules above, it will never change. Suppose Alice gets a mild cold which knocks her health down to 90. She keeps working, her health keeps going up 1 each day, and she eventually gets back to 100. Suppose Alice gets a medium flu which knocks her health down to 80. She keeps working, her health keeps going up 1 each day, and she eventually gets back to 100. But suppose Alice gets a serious pneumonia which knocks her health down to 70. Now she can’t work, she loses insurance, her health starts going down 1 each day, and she eventually goes down to 0. This is another stable state; as long as the system keeps evolving according to the rules, it will never change.

In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine Learning” which introduces methods for analyzing the behavior of machine inference algorithms and machine learning algorithms as dynamical systems. We show that when dynamical systems can be viewed as special types of optimization algorithms, the behavior of those systems even when they are highly nonlinear and high-dimensional can be analyzed. Learn more by visiting: www.learningmachines101.com and www.statisticalmachinelearning.com .

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.21.349282v1?rss=1 Authors: Glaser, J. I., Whiteway, M. R., Cunningham, J. P., Paninski, L., Linderman, S. W. Abstract: Modern recording techniques can generate large-scale measurements of multiple neural populations over extended time periods. However, it remains a challenge to model non-stationary interactions between high-dimensional populations of neurons. To tackle this challenge, we develop recurrent switching linear dynamical systems models for multiple populations. Here, each high-dimensional neural population is represented by a unique set of latent variables, which evolve dynamically in time. Populations interact with each other through this low-dimensional space. We allow the nature of these interactions to change over time by using a discrete set of dynamical states. Additionally, we parameterize these discrete state transition rules to capture which neural populations are responsible for switching between interaction states. To fit the model, we use variational expectation-maximization with a structured mean-field approximation. After validating the model on simulations, we apply it to two different neural datasets: spiking activity from motor areas in a non-human primate, and calcium imaging from neurons in the nematode C. elegans. In both datasets, the model reveals behaviorally-relevant discrete states with unique inter-population interactions and different populations that predict transitioning between these states. Copy rights belong to original authors. Visit the link for more info

The Applied Mechanics Reviews Podcast Presents: Prof. Philip Holmes is an internationally prominent mathematician and engineer whose fundamental contributions to the theory and applications of nonlinear dynamical systems span solid and fluid mechanics, animal locomotion, neuroscience, and cognition. This AMR audio interview describes an unconventional path from writing poetry in the Yorkshire Dales to writing the seminal textbook Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fieldswith John Guckenheimer, for which the authors were awarded the American Mathematical Society Leroy P. Steele Prize for Mathematical Exposition in 2013. Visit the Applied Mechanics Reviews Journal on the ASME Digital Collection. Recorded: November 01, 2014

RETURN TO THE SOURCE AUTUMN RETREAT! Oct 3-6th https://www.evolvemoveplay.com/ev_event/autumn-retreat-2019/ TODAY'S EPISODE Motivation seems to be a big problem. The cost of being a member at your average gym is about $60 a month yet every year about 5.1 million Americans end up wasting a total of around $1.8 billion in unused gym memberships.  It’s a strange statistic if you think about it. We all know that movement is vital in maintaining a healthy body and brain. We know that positive lifestyle improvements are good for mitigating stress and anxiety, increasing brain function, reducing the risk of diseases, and can make us less susceptible to injuries.  Meanwhile, we are bombarded by marketing that idolizes those who are fit and healthy. Our movies, our television shows, the people we follow on social media... all make it clear that having a strong, fit-looking body brings great social reward and probably loads of self respect and confidence. To add to it, we even have state of the art facilities staffed with professional exercisers ready to measure us, build dietary plans and workout routines, taking all the thinking and studying out of the equation for us. With all of this help, being our most heroic and sexy selves should be pretty easy. Yet… we still don’t go to the gym. As it turns out, the human mind and body is an incomprehensibly complex thing. There’s a lot more going on than what can be adequately addressed through the reductionist method. Movement is much more than just an obligatory chore to meet society's expectations or to punish oneself for past poor decisions. Movement, in its truest sense, is a means of expression and connection that can actively imbue our lives with meaning and profound experiences. The motivations and methods described above generally ignore this fact, opting instead to create an environment that, shuns playing, stifles creative problem solving, poo poos self expression, and asserts that no pain equals no gain. While this is enough to get people to shell out money for a membership, it seems to be insufficient in keeping people engaged and motivated for very long. In today’s episode of the Evolve Move Play Podcast, our good friend Todd Hargrove is back to talk about his new book “Playing with Movement: How to Explore the Many Dimensions of Physical Health and Performance”. It turns out that if we really want to get the most out of our movement and become the best versions of ourselves, we would do well to step away from our habit of viewing the body as a machine, perceiving play as pointless, and seeing movement solely as a form of work.  When we begin playing more, we tap into inherent motivations and are far more likely to engage in the activities that nurture us. So buckle up and join us on this conversation. Along the way we’ll also talk with Todd about intention and attention, dynamic systems, and what differentiates work from play. So take a look and let us know what you think! SHOW NOTES 00:00 - intro 02:37 - The Importance of Play 06:49 - Complex and Complicated Problems 16:37 - Layers of Movement Interlude 20:42 - Direction of Attention 27:09 - Top Down, Bottom Up 30:13 - Attention and Intention 24:07 - What is Dynamical Systems? 39:39 - Work and Play 49:52 - Community 53:33 - Make Your Movement Meaningful LEARN MORE https://www.bettermovement.org SUPPORT US https://www.evolvemoveplay.com https://www.patreon.com/rafekelley

A look at the 1995 article by Jane Clark which provides an excellent overview of the dynamical systems approach to skill acquisition.   Articles: On Becoming Skillful: Patterns & Constraints   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

Harry Moyse is a Research Fellow at Warwick University in England specializing in interdisciplinary and applied mathematics. He received his Ph.D. in Mathematical Biochemistry in 2019 under the supervision of Neil Evans.Harry’s research interests include mathematical and biochemical tools for improving transplant outcomes, machine learning applied to text datasets, and wider applications of mathematics and machine learning techniques in protein biochemistry. He has worked with the New Zealand Department of Conservation to stop the extinction of the land snail Powelliphanta Augusta, is the cofounder of an online software retail company called Moonbox Software, and currently works for the Institute for Advanced Teaching and Learning at the University of Warwick to produce interdisciplinary and applied maths online teaching materials.We talk about the differences between Pure and Applied Math(s) and Mathematicians, His research saving an endangered species of snails in New Zealand, machine-learning on text datasets, and much more!We would like to thank Harry for being on our show "Meet a Mathematician" and for sharing his stories and perspective with us!www.sensemakesmath.comPODCAST: http://sensemakesmath.buzzsprout.com/TWITTER: @SenseMakesMathPATREON: https://www.patreon.com/sensemakesmathFACEBOOK: https://www.facebook.com/SenseMakesMathSTORE: https://sensemakesmath.storenvy.comSupport the show (https://www.patreon.com/sensemakesmath)

Charlotte Werndl (LSE) gives a talk at the conference on "The Analysis of Theoretical Terms" (3-5 April, 2013) titled "Typicality in Statistical Physics and Dynamical Systems Theory".

Richard Shuttleworth has over 20 years coach education and support experience in elite level sport, focusing on skill acquisition. He has worked at the Australian Institute of Sport with Olympic level coaches, various national sporting organisations, Super Rugby franchises, the NRL, Football Federation Australia and Australian Rules clubs. He was the Professional Coach Development Manager for the RFU for 4 years before moving into his latest role as a High Performance Coach Development Consultant. Richard has a BSc in Coaching Science, a MSc in Sport Psychology and a PhD in Skill Acquisition.Twitter: @skillacq

Randall D Beer (Indiana University, Bloomington) discusses the use of dynamical systems theory as a mathematical 'lens' or language to study the brain and its processes. Interviewed by Paul Verschure and Tony Prescott.

Diesmal traf sich Gudrun zum Gespräch mit Anke Pohl, die zur Zeit am Max-Planck-Institut für Mathematik in Bonn arbeitet. Das Thema der Unterhaltung ist Mathematisches Quantenchaos. Anke Pohl untersucht nämlich, welchen Zusammenhang die geometrischen und spektralen Eigenschaften Riemannscher Mannigfaltigkeiten haben. Historisch ist das Interesse an diesen Eigenschaften und ihren Wechselwirkungen bei physikalischen Betrachtungen entstanden, wie z.B. bei den Studien der Schwingungen einer Membran. Im Jahre 1910 vermuteten Lorentz und Sommerfeld, dass der Flächeninhalt einer Membran (die ein Beispiel für eine Riemannsche Mannigfaltigkeit ist) durch die (Ober-)töne dieser Membran (die durch die Eigenwerte eines gewissen Operators bestimmt sind, der die Schwingungen der Membran beschreibt) bestimmt sind. Bereits kurze Zeit später gelang es Hermann Weyl, diese Vermutung mathematisch zu beweisen. Im Laufe der Zeit ist die Untersuchung solcher Zusammenhänge zu einem Teilgebiet der Mathematik und Mathematischen Physik angewachsen, welches sowohl hinsichtlich Motivation als auch in Bezug auf Methoden eng mit diversen anderen Teilgebieten der Mathematik, wie z.B. der Geometrie, der Zahlentheorie und der Analysis, zusammenhängt. Und auch heute noch liefern physikalische Erkenntnisse und Intuitionen gute Heuristiken bzw. sind wegweisend für mathematische Ansätze. Aktuelle große Vermutungen mit sowohl mathematischer als auch physikalischer Motivation sind beispielsweise die Rudnick-Sarnak Vermutung über eindeutige Quantenergodizität auf gewissen kompakten Riemannschen Mannigfaltigkeiten (Gleichverteilung von Eigenfunktionen im Mittel bei wachsendem Eigenwert; für den Beweis von eindeutiger arithmetischer Quantenergodizität wurde E. Lindenstrauss 2010 eine Fieldsmedaille verliehen), die Phillips-Sarnak Vermutung über die (Nicht-)Existenz von quadrat-integrierbaren Eigenfunktionen auf gewissen nicht-arithmetischen Mannigfaltigkeiten, die Sarnaksche Vermutung über das Größenwachstum von Eigenfunktionen bei wachsendem Eigenwert, oder die Sjöstrandsche Vermutung über die asymptotische Anzahl von Resonanzen in Streifen bei hyperbolischen Flächen unendlichen Inhalts. Details und weiterführende Informationen zu diesen und anderen Vermutungen sind beispielsweise in den Übersichtsartikel in den untenstehenden Referenzen enthalten. Anke Pohls befasst sich zur Zeit mit bestimmten Flüssen, den sogenannten geodätischen Flüssen, auf einer speziellen Klasse von Riemannschen Mannigfaltigkeiten. Als erste, recht elementare, Beispiele für Mannigfaltigkeiten kann man sich zunächst Oberflächen vorstellen. Wenn man auf ihnen Größen definiert hat, die zum Messen von Abständen und Winkel dienen, werden sie Riemannsche Mannigfaltigkeit genannt. Wie bei den oben genannten Membranen sind Geodäten. Mathematisch werden die Schwingungen als Lösungen des Laplaceoperators in der zugrundeliegenden Geometrie beschrieben bzw. mit Hilfe der Eigenwerte und Eigenfunktionen des Operators. Aus der Anschauung ist klar, dass die Schwingungen von den geometrischen Eigenschaften der Fläche abhängen. Wenn z.B. die Fläche oder Membran eingerissen ist oder ein Loch hat, klingt sie anders als wenn sie geschlossen ist bzw. gut eingespannt ist. Für kompakte Flächen ist bekannt, dass es unendlich viele solcher Eigenfunktionen gibt. Je nach Grad der Offenheit (also z.B. eine Fläche mit Riss oder Loch) ist es jedoch schwierig zu sagen, wie sich die Schar der Lösungen verändert. Ein interessantes Beispiel wäre z.B. zu betrachten, dass an einer Stelle die eingespannte Fläche im Unendlichen verankert ist, aber das darunterliegende Volumen endlich ist. Vorstellen kann man sich das etwa so, dass man an dieser Stelle die Fläche samt ihren Abständen unendlich weit zieht. Man fragt sich dann, ob eine Welle auf der Fläche auch diese Singularität überlebt. Ein methodischer Ansatz, solche und andere Fragen zu studieren, ist es, Beziehungen zu anderen Objekten, vor allem rein geometrischen, zu finden. Selbergs Beweis zur Unendlichkeit der Anzahl der Eigenfunktionen auf gewissen hyperbolischen Flächen zeigt zunächst, dass die Eigenwerte der Eigenfunktionen (spektrale Objekte) durch die Längen der geschlossenen Geodäten (geometrische Objekte) bestimmt sind. Genauer, sie sind unter den Nullstellen einer generierenden Zetafunktion für das Längenspektrum der Geodäten. Ausnutzung zusätzlicher Eigenschaften der Flächen, wie z.B. Kompaktheit oder zusätzliche Symmetrien, erlaubt dann (manchmal) zu bestimmen, ob Nullstellen existieren und ob sie von Eigenwerten stammen. Anke Pohl schaut sich die Geodäten auf bestimmten hyperbolischen Flächen an, diskretisiert sie und findet ein assoziiertes diskretes dynamisches System auf dem reellen Zahlenstrahl. Für dieses diskrete System sucht sie gewisse invariante Größen, z. B. invariante Maße oder Dichten. Genauer fragt sie nach Eigenfunktionen des assoziierten Transferoperators mit gewissen Parametern (inversen Temperaturen). An dieser Stelle sieht man wieder einen Einfluss aus der Physik: Transferoperatoren entstammen dem thermodynamischen Formalismus der statistischen Mechanik. Sie zeigt dann, dass die Eigenfunktionen dieser Transferoperatoren bijektiv zu den L_2 Eigenfunktionen des Laplaceoperators der hyperbolischen Flächen sind. Da die Eigenfunktionen der Transferoperatoren alleine durch die geschlossenen Geodäten bestimmt sind und somit also geometrische Objekte der Fläche sind, stellt auch sie eine Beziehung zwischen gewissen geometrischen und gewissen spektralen Objekten dieser Flächen her. Zum Abschluss noch eine kurze Erklärung zur Bezeichnung "Quantenchaos" für dieses Themengebiet: Der Laplaceoperator ist gerade, bis auf Skalierung, der Schrödingeroperator in der Physik. Quantenmechanisch werden seine L_2 Eigenfunktionen als gebundene Zustände verstanden. Das zugehörige Objekt in der klassischen Mechanik ist gerade das Hamiltonsche Vektorfeld des geodätischen Flusses, d. h. die Bildungsvorschrift für die Geodäten oder die Bewegungsvorschrift für Kugeln auf der Fläche. Das Korrespondenzprinzip der Physik besagt nun, dass im Grenzfall (hier: Eigenwerte der Eigenfunktionen gehen gegen unendlich) die Gesetze der Quantenmechanik in die der klassischen Mechanik übergehen sollten. Hier fragt man also gerade danach, wie die spektralen und die geometrischen Eigenschaften Riemannscher Mannigfaltigen wechselwirken. Daraus ergibt sich der Bestandteil "Quanten" in "Quantenchaos". Der Bestandteil "Chaos" ist wie folgt motiviert: Bei den in diesem Gebiet studierten Flüssen verhalten sich Bahnen, die sehr nah beieinander starten, typischerweise nach recht kurzer Zeit sehr unterschiedlich. Mit anderen Worten, kleine Änderungen in den Anfangsbedingungen wirken sich typischerweise sehr stark aus, d.h., das System ist in gewisser Weise chaotisch. Frau Pohl hat Mathematik an der TU Clausthal studiert, an der Universität Paderborn promoviert und habilitiert gerade an der Universität Göttingen. Literatur und Zusatzinformationen William P. Thurston: The Geometry and Topology of Three-Manifolds, Mathematical Sciences Research Institute, 2002. A. Pohl: Symbolic dynamics for the geodesic flow on locally symmetric good orbifolds of rank one, Dissertation Uni Paderborn, 2009. A.Pohl: A dynamical approach to Maass cusp forms, arXiv preprint arXiv:1208.6178, 2012. M. Möller und A. Pohl: Period functions for Hecke triangle groups, and the Selberg zeta function as a Fredholm determinant, Ergodic Theory and Dynamical Systems 33.01: 247-283, 2013. P. Sarnak: Recent progress on the quantum unique ergodicity conjecture, Bull. Amer. Math. Soc 48: 211-228, 2012. S. Zelditch: Recent developments in mathematical quantum chaos, Current developments in mathematics 2009: 115-204, 2010.

In this conversation, Meredith Smith talks with Dr. Peter Coleman about Dynamical Systems Theory (DST), a mathematical approach to sustaining peace and resolving conflict. He tells about the historical origins of DST as well as current initiatives. Dr. Peter Coleman is a Professor of Psychology and Education at Columbia, the director of the Morton Deutsch International Center for Cooperation and Conflict Resolution at Teachers College, one of the Executive Chairs of AC4, and the founder of *Conversations on the Leading Edge*. For more on DST, watch Prof. Coleman's talk from Columbia University's 2015 Sustaining Peace Conference: http://ac4.ei.columbia.edu/events/annual-sustaining-peace-conference/sustainingpeace2015/

Jonathan Zachhuber war zum 12. Weihnachtsworkshop zur Geometrie und Zahlentheorie zurück an seine Alma Mater nach Karlsruhe gekommen und sprach mit Gudrun Thäter über Teichmüllerkurven. Kurven sind zunächst sehr elementare ein-dimensionale mathematische Gebilde, die über den komplexen Zahlen gleich viel reichhaltiger erscheinen, da sie im Sinne der Funktionentheorie als Riemannsche Fläche verstanden werden können und manchmal faszinierende topologische Eigenschaften besitzen. Ein wichtiges Konzept ist dabei das Verkleben von Flächen. Aus einem Rechteck kann man durch Verkleben der gegenüberliegenden Seiten zu einem Torus gelangen (Animation von Kieff zum Verkleben, veröffentlicht als Public Domain): Polynome in mehreren Variablen bieten eine interessante Art Kurven als Nullstellenmengen zu beschreiben: Die Nullstellen-Menge des Polynoms ergibt über den reellen Zahlen den Einheitskreis. Durch Ändern von Koeffizienten kann man die Kurve verformen, und so ist die Nullstellenmenge von eine Ellipse. Über den komplexen Zahlen können diese einfachen Kurven dann aber auch als Mannigfaltigkeiten interpretiert werden, die über Karten und Atlanten beschrieben werden können. Das ist so wie bei einer Straßenkarte, mit der wir uns lokal gut orientieren können. Im Umland oder anderen Städten braucht man weitere Karten, und alle Karten zusammen ergeben bei vollständiger Abdeckung den Straßenatlas. Auch wenn die entstehenden abstrakten Beschreibungen nicht immer anschaulich sind, so erleichtern die komplexen Zahlen den Umgang mit Polynomen in einem ganz wichtigen Punkt: Der Fundamentalsatz der Algebra besagt, dass der Grad des Polynoms gleich der Anzahl der Nullstellen in ihrer Vielfachheit ist. Also hat nun jedes nichtkonstante Polynom mindestens eine Nullstelle, und über den Grad des Polynoms wissen wir, wie viele Punkte sich in der Nullstellenmenge bewegen können, wenn wir an den Koeffizienten Veränderungen vornehmen. Eine gute Methode die entstehenden Flächen zu charakterisieren ist die Bestimmung möglicher geschlossener Kurven, und so gibt es beim Torus beispielsweise zwei unterschiedliche geschlossene Kurven. Die so enstehende Fundamentalgruppe bleibt unter einfachen Deformationen der Flächen erhalten, und ist daher eine Invariante, die hilft die Fläche topologisch zu beschreiben. Eine weitere wichtige topologische Invariante ist das Geschlecht der Fläche. Die Teichmüllerkurven entstehen nun z.B. durch das Verändern von einem Koeffizienten in den Polynomen, die uns durch Nullstellenmengen Kurven beschreiben- sie sind sozusagen Kurven von Kurven. Die entstehenden Strukturen kann man als Modulraum beschreiben, und so diesen Konstruktionen einen Parameterraum mit geometrischer Struktur zuordnen. Speziell entstehen Punkte auf Teichmüllerkurven gerade beim Verkleben von gegenüberliegenden parallelen Kanten eines Polygons; durch Scherung erhält man eine Familie von Kurven, die in seltenen Fällen selbst eine Kurve ist. Ein Beispiel ist das Rechteck, das durch Verkleben zu einem Torus wird, aber durch Scherung um ganz spezielle Faktoren zu einem ganz anderen Ergebnis führen kann. Die durch Verklebung entstandenen Flächen kann man als Translationsflächen in den Griff bekommen. Hier liefert die Translationssymmetrie die Methode um äquivalente Punkte zu identifizieren. Für die weitere Analyse werden dann auch Differentialformen eingesetzt. Translationen sind aber nur ein Beispiel für mögliche Symmetrien, denn auch Rotationen können Symmetrien erzeugen. Da die Multiplikation in den komplexen Zahlen auch als Drehstreckung verstanden werden kann, sind hier Rotationen als komplexe Isomorphismen ganz natürlich, und das findet man auch in den Einheitswurzeln wieder. Literatur und Zusatzinformationen A. Zorich: Flat Surfaces, Frontiers in Number Theory, Physics and Geometry, On Random Matrices, Zeta Functions, and Dynamical Systems, Ed. by P. Cartier, B. Julia, P. Moussa, and P. Vanhove. Vol. 1. Berlin: pp. 439–586, Springer-Verlag, 2006. M. Möller: Teichmüller Curves, Mainly from the Viewpoint of Algebraic Geometry, IAS/Park City Mathematics Series, 2011. J. Zachhuber: Avoidance of by Teichmüller Curves in a Stratum of , Diplomarbeit an der Fakultät für Mathematik am Karlsruher Institut für Technologie (KIT), 2013. C. McMullen: Billiards and Teichmüller curves on Hilbert modular surfaces, Journal of the AMS 16.4, pp. 857–885, 2003. C. McMullen: Prym varieties and Teichmüller curves, Duke Math. J. 133.3, pp. 569–590, 2006. C. McMullen: Dynamics of SL(2,R) over moduli space in genus two, Ann. of Math. (2) 165, no. 2, 397–456, 2007. Weitere Paper von C. McMullen, u.a. The mathematical work of Maryam Mirzakhani Podcast: Modellansatz 040: Topologie mit Prof. Dr. Wolfgang Lück

Bodai, T (University of Hamburg) Wednesday 18 December 2013, 10:00-11:00

Freitas, JM (Centro de Matematica da Universidade do Porto) Wednesday 18 December 2013, 14:00-15:00

Joshua Rosaler (Pittsburgh) gives a talk at the MCMP conference "Reduction and Emergence in the Sciences" (14-16 November, 2013) titled "Theory Reduction in Physics: A Model-Based, Dynamical Systems Approach". Abstract: I elaborate an approach to reduction in physics that is distinct from the Nagelian and limit-based approaches that have been discussed most widely in the philosophical literature. This approach, which I call ‘Dynamical Systems (DS) Reduction’, is intended to apply to the reduction of theories whose models can be formulated as dynamical systems models. Importantly, this is the case with most physical theories, including classical mechanics, classical field theory, quantum mechanics and quantum field theory. After setting out the basic elements of DS reduction, I compare this approach with the limit-based and Nagelian approaches, arguing in each case that the DS approach does better. In particular, I highlight a number of significant parallels between the DS and Nagelian approaches, specifically relating to their use of special correspondences between theories (what are most commonly called ‘bridge laws’ in Nagelian approaches) to identify those elements of the low-level theory that emulate the behavior of certain elements in the high-level theory. Despite these similarities, I argue that DS reduction, in its use such correspondences (which I call ‘bridge maps’) does not face the ambiguities or difficulties that are often associated with Nagelian bridge laws: in particular, I argue that it avoids ambiguities as to whether these correspondences are to be regarded as conventions or empirically substantive claims, as well addressing concerns about multiple realisability.

Au menu de ce huitième épisode Simon vous présente le principe des réseaux de neurones ainsi qu'un projet de robotique évolutionnaire : Bredeche N., J.-M. Montanier, W. Liu, A. FT. Winfield. Environment-driven Distributed Evolutionary Adaptation in a Population of Autonomous Robotic Agents. Mathematical and Computer Modelling of Dynamical Systems (journal paper). Taylor & Francis Eds. 2012. (lien vers l'article) Vous pouvez me retrouver sur twitter (https://twitter.com/Xilrian) et vous abonner sur : notre flux RSS (http://feeds.feedburner.com/vieartificielle), iTunes (http://itunes.apple.com/fr/podcast/vie-artificielle/id471402436), Youtube (http://www.youtube.com/channel/UCuPLI-CCXwPeCuwsQQUcN-Q/videos) et soundcloud (https://soundcloud.com/xilrian).

Au menu de ce huitième épisode Simon vous présente le principe des réseaux de neurones ainsi qu'un projet de robotique évolutionnaire : Bredeche N., J.-M. Montanier, W. Liu, A. FT. Winfield. Environment-driven Distributed Evolutionary Adaptation in a Population of Autonomous Robotic Agents. Mathematical and Computer Modelling of Dynamical Systems (journal paper). Taylor & Francis Eds. 2012. (lien vers l'article) Vous pouvez me retrouver sur twitter (https://twitter.com/Xilrian) et vous abonner sur : notre flux RSS (http://feeds.feedburner.com/vieartificielle), iTunes (http://itunes.apple.com/fr/podcast/vie-artificielle/id471402436), Youtube (http://www.youtube.com/channel/UCuPLI-CCXwPeCuwsQQUcN-Q/videos) et soundcloud (https://soundcloud.com/xilrian).

Aimino, R (Centre de Physique Théorique, Marseille) Tuesday 26 November 2013, 10:00-11:00

Lucarini, V (Universität Hamburg) Monday 25 November 2013, 11:00-12:00

[Conf.] Reduction and emergence play a central role in the relations of scientific theories and disciplines. Unfortunately, the discussion about reduction and emergence suffers from two uncertainties at once. On the one hand the concepts of reduction and especially emergence are not precisely defined, on the other hand there are few if any uncontentious cases of reduction or emergence in the sciences. This conference will bring together philosophers of science and scientists of different disciplines with the aim of addressing the inter- and intratheoretic relations of specific theories and providing precise notions of such relations for the application in the sciences. These relations can then serve as a basis for explications of reduction and emergence that are applicable in the sciences. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 14.-16.11.2013

[Conf.] Reduction and emergence play a central role in the relations of scientific theories and disciplines. Unfortunately, the discussion about reduction and emergence suffers from two uncertainties at once. On the one hand the concepts of reduction and especially emergence are not precisely defined, on the other hand there are few if any uncontentious cases of reduction or emergence in the sciences. This conference will bring together philosophers of science and scientists of different disciplines with the aim of addressing the inter- and intratheoretic relations of specific theories and providing precise notions of such relations for the application in the sciences. These relations can then serve as a basis for explications of reduction and emergence that are applicable in the sciences. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 14.-16.11.2013

Klages, R (Queen Mary University of London) Thursday 07 November 2013, 10:00-11:00

Kuna, T (University of Reading) Tuesday 29 October 2013, 11:10-11:45

Branicki, M (New York University) Tuesday 29 October 2013, 13:40-14:15

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: "Combining Data and Dynamical Systems Models of Language Change". 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: "Combining Data and Dynamical Systems Models of Language Change. 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.

Mul, O (TNTU Ivan Pul'uj, UA) Thursday 16 September 2010, 12:00-12:30

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on regularized least squares and the Gauss-Newton method for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives an overview of the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on linear functions for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives a review of linear algebra for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on orthonormal sets of vectors and QR factorization for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on QR factorization and least squares for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of least squares for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on how to find solutions via LaPlace transform and the use of matrix exponentials for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the Gauss-Newton method and the least norm solutions of undetermined equations for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the least-norm solutions of undetermined equations and autonomous linear dynamical systems for the course, Introduction to Linear Dynamical Systems (EE263

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems and how they relate to Electrical Engineering for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on matrix exponentials, eigenvectors, and diagonalization and their uses in LDS for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on generalized eigenvectors, diagonalization, and Jordan canonical form for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of Jordan canonical form in LDS and electrical engineering for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on inputs and outputs of linear dynamical systems, as well as symmetric matrices for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the use of symmetric matrices, quadratic forms, matrix norm, and SVDs in LDS for the course Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of SVD, controllability, and state transfer in electrical engineering for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on controllability and state transfer and their uses in modern electrical engineering for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, gives his final lecture on observability and state estimation for the course, Introduction to Linear Dynamical Systems (EE263).

Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on the applications of single value decomposition in LDS and electrical engineering, Introduction to Linear Dynamical Systems (EE263).