Mathematical equation involving derivatives of an unknown function
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Conférence au CESQ à Strasbourg. Le 6 mars lors de la « quantum week », le CESQ (European Center for Quantum Sciences), un événement coorganisé par la startup QPerfect et l'Université de Strasbourg. Les premiers jours étaient dédiés à l'inauguration du CESQ et à des journées grand public.Interventions d'Olivier :« discover » (mes slides)APS Physics Global Summit à AnaheimLa startup irlandaise Equal1 se faisait remarquer en présentant UnityQ-1 un premier ordinateur quantique complet avec des qubits silicium tenant dans un simple rack. Equal1 Demonstrates Advances in Silicon-Based Quantum Computing by Matt Swayne, The Quantum Insider, December 2024. Nvidia Quantum Developer Day à San Francisco.Cette journée de conférence avait lieu pendant l'APS Global Summit, mais à San Francisco. Elle a été marquée par trois panels animés par le CEO de Nvidia, Jensen Huang. Alice&Bob Alice&Bob comprime ses chats !Enhancing dissipative cat qubit protection by squeezing by Rémi Rousseau, Diego Ruiz, Raphaël Lescanne, Zaki Leghtas, Sébastien Jezouin, Anil Murani et al, arXiv, February 2025 (26 pages). Pasqal Des évolutions d'un partenariat technologique avec KAIST en Corée du Sud. Il s'agit de recherches conjointes sur le contrôle des atomes. Advancing Quantum Computing with Pasqal and KAIST, by Pasqal, March 2025. Korea Advanced Institute of Science and Technology. Une machine de Pasqal est maintenant disponible sur Microsoft Azure.Pasqal Expands Access to Quantum Computing Capabilities by Pasqal, March 2025. Une commande d'une machine à 140 qubits pour EuroHPC en Italie pour CINECA à Bologne. EuroHPC Selects Pasqal to Build 140-Qubit Neutral Atom Quantum Simulator in Italy, Upgrade Planned for 2027 by Cierra Choucair, The Quantum Insider, March 2025. Son prix ? 13M€. Une nouvelle organisation. Wasiq Bokhari devient Executive Chairman. Loic Henriet devient CEO. Georges-Olivier Reymond devient Chief Strategic Alliances Officer. Pasqal Announces a New Management Structure with the Appointment of Loïc Henriet as CEO and Wasiq Bokhari as Executive Chairman, Mars 2025. Travaux sur le benchmarking et l'estimation de ressources pour obtenir un avantage quantique dans la résolution d'un problème de combinatoire de type MIS (maximum independent set). “Based on extended classical benchmarks at larger problem sizes, we estimate that scaling up to a thousand atoms with a 1 kHz repetition rate is a necessary step toward demonstrating a computational advantage with quantum methods”. Decrypting Pasqal recent research on solving optimization problems by Marie Wakim, Pasqal, March 2025 et Identifying hard native instances for the maximum independent set problem on neutral atoms quantum processors by Pierre Cazals, Constantin Dalyac et al, arXiv, February 2025 (11 pages). Quobly et Bgene genetics L'annonce en mars d'un partenariat applicatif avec Bgene Genetics, une startup biotech de Grenoble dirigée par Marie-Gabrielle Jouan. ChipironPublication d'un livre blanc ou blueprint scientifique de 35 pages sur la création d'une IRM portable à bas champ (1 mT) et avec une détection plus sensible avec un magnétomètre de précision à base de SQUID (capteurs supraconducteurs) en lieu et place des antennes des IRM habituelles qui détectent des radiofréquences autour de 60 MHz avec des inductances en cuivre. Au lieu de 1 à 4 Tesla dans les IRM d'hopitaux. Dans Chipiron - High quality 1 mT MRI by Zineb Belkacemi, Dimitri Labat et al, March 2025 (35 pages). Et au passage, cela consommera beaucoup moins d'énergie. Appareil qui tiendrait dans un rack 5U. WelinqWelinq sort du prototypage et lance sa première mémoire quantique pour l'interconnexion d'ordinateurs quantiques. Elle occupe un rack complet. Welinq Launches Its Storage Solution for Quantum Computing Scale-Out by Welinq, March 2025. ColibriTDAlgorithme variationnel de résolution d'un type d'équation aux dérivées partielles (PDE), l'équation de Burger, testé sur 50 qubits d'un QPU IBM Heron de 156 qubits, dans un régime un peu en-dessous de l'avantage quantique. ColibriTD announces H-DES for solving Differential Equations on IBM Quantum Computers, Mars 2025.Solving Partial Differential Equations on IBM Quantum Processors with a Variational Quantum Algorithm, ColibriTD, March 2025 (9 pages).H-DES: a Quantum-Classical Hybrid Differential Equation Solver by Hamza Jaffali, Jonas Bastos de Araujo, Nadia Milazzo, Marta Reina, Henri de Boutray, Karla Baumann, and Frédéric Holweck, ColibriTD, arXiv, October 2024 (40 pages). IBM· Un état intriqué GHZ de grande taille avec 120 qubits, un record après celui de Quantinuum de 50 qubits réalisé en 2024. Il a été réalisé avec le concours de Simon Martiel, un chercheur d'IBM ex Atos, basé à Bordeaux. Q-CTRL avait réalisé un GHZ de 75 qubits avec de la correction d'erreurs.Achieving computational gains with quantum error correction primitives: Generation of long-range entanglement enhanced by error detection by Haoran Liao, Michael J. Biercuk, Yuval Baum et al, arXiv, November 2024 (8 pages).· Un QPU Heron System Two sera installé en Espagne d'ici la fin 2025 au Pays Basque. C'est le second en Europe après l'Allemagne.· Un papier sur la correction d'erreur de portes non-Clifford...
Send us a Text Message. Causal AI: The Melting Pot. Can Physics, Math & Biology Help Us?What is the relationship between physics and causal models?What can science of non-human animal behavior teach causal AI researchers?Bernhard Schölkopf's rich background and experience allow him to combine perspectives from computation, physics, mathematics, biology, theory of evolution, psychology and ethology to build a deep understanding of underlying principles that govern complex systems and intelligent behavior.His pioneering work in causal machine learning has revolutionized the field, providing new insights that enhance our ability to understand causal relationships and mechanisms in both natural and artificial systems.In the episode we discuss:Does evolution favor causal inference over correlation-based learning?Can differential equations help us generalize structural causal models?What new book is Bernhard working on?Can ethology inspire causal AI researchers?Ready to dive in?About The GuestBernhard Schölkopf, PhD is a Director at Max Planck Institute for Intelligent Systems. He's one of the cofounders of European Lab for Learning & Intelligent Systems (ELLIS) and a recepient of the ACM Allen Newell Award, BBVA Foundation Frontiers of Knowledge Award, and more. His contributions to modern machine learning are hard to overestimate. He's a an affiliated professor at ETH Zürich, honorary professor at the University of Tübingen and the Technical University Berlin. His pioneering work on causal inference and causal machine learning inspired thousands of researchers and practitioners worldwide. Connect with Bernhard:Bernhard on Twitter/XBernhard on All Business. No Boundaries.Welcome to All Business. No Boundaries, a collection of supply chain stories by DHL...Listen on: Apple Podcasts SpotifySupport the Show.Causal 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
We're back on the grind here at the Fortress—as college students now!—and, as always, there's a ton to talk about this week in FPL. Our Gameweek 6 Review encompasses the high-quality North London Derby, the clash between mid-table mediocrity and a team that's contending for Europe (Chelsea and Aston Villa—in that order), and the massacre that happened in Sheffield. In our Dilemma Deliberations, we answer key questions about Chelsea assets (or shall we call them liabilities?), how we should treat Salah (essential or not?), and initial preparations for a potential GW 9/10 Wildcard. Following that, we introduce a brand new segment: Differential Equations! And finally, a brief conversation about the captaincy “debate” rounds off the episode. Follow us on our socials! Twitter - @FplFortress Instagram - @fplfortress
Intro topic: Revisiting the power of SpreadsheetsNews/Links: LK-99 Isn't a Superconductorhttps://www.nature.com/articles/d41586-023-02585-7 Normalizing Flowshttps://pyro.ai/examples/normalizing_flows_i.html How is llama.cpp possible?https://finbarr.ca/how-is-llama-cpp-possible/ Chat with open source large language models https://chat.lmsys.org/ Book of the Show Patrick: Math with Bad Drawings by Ben Orlinhttps://amzn.to/44dsgDz Jason: Overboard! https://play.google.com/store/apps/details?id=com.InkleLtd.Overboard Nhl=en_US&gl=US Patreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the Show Patrick: ffmprovisr https://amiaopensource.github.io/ffmprovisr/ Jason:Pandas read_ods() read_excel() Topic: Differential Equations Why should programmers learn about DiffEqLaw of Large Numbers What are differential equations? When you know the rate of change EigenVectors & EigenValues What is Jacobian What is Jacobian? | The right way of thinking derivatives and integrals Special cases Partial Differential Equations Ordinary Differential Equations Why solvers are important Numerical Stability at larger step sizes Example: https://medium.com/@pukumarathe/eulers-method-and-runge-kutta-4th-order-method-in-python-b4a0068a8ebe Fun Examples Predator-Prey relationships in scipy https://scientific-python.readthedocs.io/en/latest/notebooks_rst/3_Ordinary_Differential_Equations/02_Examples/Lotka_Volterra_model.html Physics Engines for games https://youtu.be/52n2qKgwW_Q PageRank https://arxiv.org/pdf/2001.08973.pdf ★ Support this podcast on Patreon ★
Joseph Bennish returns to dig into the math behind the Fourier Analysis we discussed last time. Specifically, it allows us to express any function in terms of sines and cosines. Fourier analysis appears in nature--our eyes and ears do it. It's used to study the distribution of primes, build JPEG files, read the structure of complicated molecules and more. --- Send in a voice message: https://podcasters.spotify.com/pod/show/the-art-of-mathematics/message
Dr. Renier Mendoza is an Associate Professor of Applied Mathematics at the Institute of Mathematics, University of the Philippines Diliman, where he earned his MS in Applied Mathematics. He holds a doctorate from the Karl-Franzens University of Graz in Austria, and recently completed postdoctoral work at Konkuk University in Seoul, South Korea. His research focuses on numerical optimization, numerical analysis, partial differential equations, delay differential equations, inverse problems, image processing, and mathematical modeling. We talked about negative perceptions about mathematics, mathematics in work and everyday life, challenges in doing mathematical research in the Philippines, applying math in environmental conservation, reasons to pursue a graduate course in mathematics, and more. How to contact Dr. Renier: Facebook: fb.com/renier.mendoza Email: rmendoza@math.upd.edu.ph Interested in DOST scholarship opportunities? Check them out here: https://www.sei.dost.gov.ph/index.php/programs-and-projects/scholarships/postgraduate-scholarships Attention, graduate students and early-career mathematicians from the Philippines and neighboring countries! The 2023 SEAMS School on Scientific Computing for Differential Equations and Applications will take place at the UP Diliman Institute of Mathematics from November 22 to December 1, 2023. It aims to bring together experts in numerical analysis and scientific computing to give introductory lectures on recent numerical techniques in solving ordinary and partial differential equations, and their applications. Funded by the Southeast Asian Mathematical Society through the support of CIMPA, it involves lecture series and hands-on computational exercises. Registration is FREE, but slots are limited. Participants from developing countries in Southeast Asia and nearby regions may also apply for financial support for airfare and/or accommodation. For more information, visit https://math.upd.edu.ph/seamsschoolmanila2023/.
In this episode we meet Haynes Miller, Professor Emeritus of Mathematics, who in his 35+ years of active teaching at MIT has done much to shape the institute's math curriculum. Prof. Miller's special focus is algebraic topology, but his teaching has encompassed a wide range of other topics from differential equations to number theory, and he has a special interest in teaching undergraduates. Join us as Prof. Miller discusses math education with guest host Paige Bright, a current MIT third-year student who was one of his students in a first-year seminar and who has since acquired teaching experience of her own as the instructor for the course Introduction to Metric Spaces during the Independent Activities Period in January 2022 and 2023. Among the topics they cover in this discussion are the importance of communication in mathematics, Prof. Miller's use of computer manipulatives (which he calls “mathlets”) to engage students more actively, what “lab work” means in the context of pure mathematics, how instructors from different institutions have come together online to discuss ways to improve undergraduate math education, and what happens when you ask students to switch roles and become teachers.Relevant Resources:MIT OpenCourseWare The OCW Educator Portal 18.03 Differential Equations on OCW 18.821 Project Laboratory in Mathematics on OCW 18.915 Graduate Topology Seminar: Kan Seminar on OCW Paige Bright's course Introduction to 18.S097 Metric Spaces on OCW Prof. Miller's faculty page Prof. Miller's “manipulatives” at mathlets.org Online Seminar on Undergraduate Mathematics Education (OLSUME) Music in this episode by Blue Dot Sessions Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We'd love to hear from you! Call us @ 617-715-2517On our site On Facebook On Twitter On Instagram Stay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Show notes by Peter Chipman
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We're all familiar with the data science tools like numpy, pandas, and others. These are numerical tools working with floating point numbers, often to represent real-world systems. But what if you exactly specify the equations, symbolically like many of us did back in Calculus and Differential Equations courses? With SymPy, you can do exactly that. Create equations, integrate, differentiate, and solve them. Then you can convert those solutions into Python (or even C++ and Fortran code). We're here with two of the core maintainer: Ondřej Čertík and Aaron Meurer to learn all about SymPy. Links from the show Ondrej Certik: @OndrejCertik Aaron Meurer: @asmeurer SymPy: sympy.org SymPy Docs: docs.sympy.org/dev Tutorials: docs.sympy.org The SymPy/HackerRank DMCA Incident: asmeurer.com SymEngine: github.com SymPy Gamma: gamma.sympy.org Sovled derivative problem - wait for derivative steps to appear: gamma.sympy.org Github Takedown Repo: github.com e: The Story of a Number book: amazon.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe on YouTube: youtube.com Follow Talk Python on Twitter: @talkpython Follow Michael on Twitter: @mkennedy Sponsors Microsoft Sentry Error Monitoring, Code TALKPYTHON AssemblyAI Talk Python Training
Today we talk about the interesting things in our current lives while studying math and physics. Just like every other physics student, we've had to learn how to code. There's also a great connection between computers and the natural existence of the physical world, being described by differential equations. Instagram: @math.physics.podcast Tiktok: @math.physics.podcast Email: math.physics.podcast@gmail.com Twitter: @MathPhysPod World Scientific: 25% off order on World Scientific website (www.worldscientific.com) Promo code: PODCASTWS25
Dr. Brian Mulholland is an Assistant Professor of the Practice in the Mathematics Department at Notre Dame and the Director of the ASCEND program, which is the summer online program for the incoming first years. He works primarily in digital resource development and mathematical pedagogy. In the past few years, he helped create both the Summer Online Calculus III and Introduction to Linear Algebra and Differential Equations courses. He frequently implements digital materials and alternative teaching practices and plans to further research the impact of these non-traditional teaching methodologies to enhance student learning. Special Guest: Brian Mulholland.
Shareable link to the document (has all of the mathematical examples that will be discussed in both this episode and the following episode): https://docs.google.com/document/d/1VfEVBscCPTfoyTDyv4ZRFJYL9Luzyd1UHvjxzz-uwpg/edit?usp=sharing References: Derivative - Wikipedia https://en.wikipedia.org/wiki/Derivative Power Rule - Wikipedia https://en.wikipedia.org/wiki/Power_rule All derivative calculations were checked using this website https://www.derivative-calculator.net/ Product Rule - Wikipedia https://en.wikipedia.org/wiki/Product_rule Quotient Rule - Wikipedia https://en.wikipedia.org/wiki/Quotient_rule Chain Rule - Wikipedia https://en.wikipedia.org/wiki/Chain_rule Integral - Wikipedia https://en.wikipedia.org/wiki/Integral Line Integral (AKA a Contour Integral in Complex Analysis) - Wikipedia https://en.wikipedia.org/wiki/Line_integral All integral calculations were checked using this calculator (can also calculate derivatives, but I was not near the calculator when I was working on the derivative portion of the chapter): https://www.amazon.com/Texas-Instruments-TI-84-Graphing-Calculator/dp/B00TFYYWQA Reverse Power Rule - KhanAcademy https://www.khanacademy.org/math/ap-calculus-ab/ab-integration-new/ab-6-8a/e/intro-to-integration Riemann Integral - Wikipedia https://en.wikipedia.org/wiki/Riemann_integral Fundamental Theorem(s) of Calculus - Wikipedia https://en.wikipedia.org/wiki/Fundamental_theorem_of_calculus Differential Equation - Wikipedia https://en.wikipedia.org/wiki/Differential_equation Partial Differential Equation - Wikipedia https://en.wikipedia.org/wiki/Partial_differential_equation
George C. Ladd:1) Brief BiographyI was born April 14, 1958 and raised on a farm near Santa Fe, Tennessee, near Columbia. I was educated in the public schools of Columbia. In college I studied accounting and computer science.Realizing that I was not going to pass the Differential Equations course required for a Computer Science degree, I saw that I could leverage the courses I had taken in Religious Studies to obtain a Degree and graduate quickly. In the late 1970’s at University of Tennessee in Knoxville, you could avoid the requirement of 2 years of a foreign language by studying the culture instead of the language. I was doing that with “Ancient Mediterranean Culture,” an alternative to Greek or Latin, and had taken several courses in Christian and Jewish history. I reasoned I could get a job with a minor in Computer Science, so I changed my major to Religious Studies to graduate as quickly as I could, and stop wasting my parents’ money. I reasoned Religious Studies would teach me the collective wisdom of the world. In this, I believe I was correct. I think it did so more effectively and succinctly than Philosophy would have.I learned the Four Noble Truths of Buddhism. I learned the admonition in the Bhagavad Gita to perform what needs to be done, what you are tasked or called to do—your duty, to the best of your ability without attachment to the results. I learned the Eastern concept that suffering is caused by desire, attachment, and craving—an excess of which causes life to be experienced as unsatisfactory. I learned the history of Israel and Christianity from Ivy League professors.A major influence in my life was my studies with Dr. David Dungan, a graduate of Harvard Divinity School and author of A History of the Synoptic Problem. In his Images of Jesus course, we studied how the portrayal of Jesus in literature and art changes with changes in culture in society. Jesus changes from ruler King in the late Roman Empire to suffering martyr as Christianity moves to Middle Age England and Germany to the ordered machine universe of the Enlightenment to the Jesus that wants you to get rich in the American “Prosperity Gospel.” We studied how the World Wars brought a decline in religiosity in Europe. We saw Jesus portrayed as a black man by African American artists.Another course under Dr. Dungan studied the increase in population since the Black Death and the imminent resource shortages projected by The Global 2000 Report produced by the Carter Administration. For various reasons, mainly technology changes, those debilitating shortages such as “peak oil” didn’t happen yet. But these studies and this awareness invested my life with a Malthusian pessimism that infinite growth on a finite planet will one day soon lead to a global train wreck. I thank the Lord that this has been delayed—possibly until after my death. In this context, we studied a Newsweek article from the late 1970’s that asked whether America would be an island of plenty in a global sea of want. I recently read a New York Times article stating that many of the migrants currently at our southern border are fleeing a Central American drought. I am acutely aware of Climate Change. As long as the weather fits what the climate models predict, I will be concerned.Also, while at UT, I learned “Transcendental Meditation,” which I did off and on all my life, and still do in lieu of a good nap, but now I use a Jewish mantra. I find it an effective means of calming down and refocusing.My plan to get a job as a computer programmer was frustrated by the 1982 recession. I paid an employment agency who found me a job at the J. C. Bradford and Co. regional brokerage firm. Two and half years later I landed a position as an information systems analyst with the State of Tennessee, and retired after 30 years of service, 26 of those with the Treasury Department. My two main bosses there were devout Christians, active in their churches. It was a wonderful place to work. I was honored the year before I retired with the State (Government) of Tennessee Information Technology Management Association’s Outstanding Information Technology Career Achievement Award for 2013.In 1982 I met the love of my life, Sherry Whitaker, in a Unity house church in Nashville. We have progressed, spiritually, together.2) My Spiritual JourneyI believe I am what Dr. Tara Isabella Burton in her book, Strange Rites, calls a “religious hybrid.” I have explored and partaken of many spiritual paths and communities through the years, progressing from my United Methodist upbringing to Unity, Native American spirituality, the Sufi Order of the West, the Episcopal Church, Religious Science, and Zen Buddhism. For eight years, from 1993 until 2002, I did the basic Tibetan Buddhist practices, and was active in a Nashville Tibetan Buddhist group. The Science of Mind by Dr. Ernest Holmes has been influential on me. Sherry and I took part in a Religious Science (now the Center for Spiritual Living) study group in Nashville in the late 1980’s studying this book. Its core scripture is Matthew 8:13. What you believe is important and, I believe, has an effect upon what you experience. Prayer with faith is important. This notion is sometime abused these days (you got sick because of poor thinking), but I am convinced that faith and belief are existentially important. I pray regularly, and believe I experience abundant blessings as a result. What I pray about tends to work out well. I feel it is most important to pray about that which is worrying or bothering you the most—whatever is keeping you from peace.In 2000 I joined my local Masonic Lodge, and my life changed. Motivated to study and deepen my understanding of the Biblical underpinnings of Masonry, I began attending the Santa Fe C. P. Church where Sherry had attended for several years, and where my Grandmother was a member. After two months regular attendance, I joined that Church and discovered, to my surprise, that my wife was called to the ministry. I realized my call to support her call.Buddhism and the spiritual classics of India contain wisdom. In my view, Ecclesiastes could be a Buddhist text. I realized that Buddhism misses prayer and an active relationship with the Creator via the Holy Spirit. Thus, I “arrived at my destination” and have been an active Cumberland Presbyterian since 2001, doing whatever God has put before me. I discovered the Cumberland Presbyterian Confession of Faith, the most eloquent and elegant statement of Christian belief I have seen. Rev. Keith Johnson taught me the importance of the basic practice: “Read the Bible, study the Bible, and pray.”I enjoyed traveling to various places in Tennessee, Mississippi, and Alabama as Sherry filled pulpits while she was in Seminary. I really enjoyed the Swan C. P. Church in Hickman County the first time we filled in for Robert Heflin. I thought the drive there was so scenic. Robert Heflin took a job with the Denomination and recommended Sherry fill the pulpit at his Churches. Thus, I found my home at Swan Church, where I am now Clerk and Song Leader. Out in the country, it is not close to anywhere but Heaven. I love my churches—I say churches, Sherry leads worship at Swan and Santa Fe (which happens to be Spanish for “Holy faith”) every Sunday. I, no doubt, learn a lot vicariously by being a Pastor’s spouse. Sherry’s sermons are eloquent and well written and researched. Sherry is a voracious reader. I benefit a great deal by being married to such a scholar.Sherry has a gifted intuition—I usually regret it when I go against any intuitive feeling she has about a situation3) My CallingIn the 1990’s I read Your Money or Your Life, which asserted that most people are “making a dying instead of making a living.” It advocated living frugally and retiring early so that you could then do work, including or primarily unpaid, volunteer work, that is fulfilling for one’s self. This I have striven to do.I believe we are called to use our gifts and talents in the service of God’s Kingdom. I am called to support my wife’s ministry, to support my Churches, to perform the duties of Stated Clerk of Columbia Presbytery, and to support the Masonic bodies of which I am a member.I was honored in 2019 to be “coroneted” a 33rd Degree Scottish Rite Mason. Contrary to popular opinion, this does not make me above any other Mason, but it does admonish me to use my skills and talents, and my connection to God that we all possess, to be a leader.In 2014 I was nominated and elected Moderator of Columbia Presbytery. Aware of what had been done in McMinnville, in my report to Presbytery I recommended we start a Hispanic ministry in our Presbytery. When we researched it, we discovered that the Hispanic community was being pretty well served by other denominations in our area, but that there was potential for new church starts in the growing areas of Spring Hill and Williamson County. Our Presbytery created its New Church Development Task Force, and with the help of the Missions Ministry Team, we attempted to start Bible Studies that would eventually grow into Churches in those areas. We discovered just how hard new church development is in 21st Century America.We pray the pandemic ends soon so that we may return to the evangelism called for by The Great Commission. I have hopes for the Worshipping Community concept.As I frequently pray, “Dear Lord, help us to discern Your will, and do it aright.”Music is provided by Punk Rock Opera, I Wanna to be a Machine. https://files.freemusicarchive.org/storage-freemusicarchive-org/music/ccCommunity/Punk_Rock_Opera/Punk_Rock_Opera_Vol_II/Punk_Rock_Opera_-_13_-_I_Wanna_be_a_Machine.mp3 (2)Additional Comments: URL: http://freemusicarchive.org/music/Punk_Rock_Opera/Punk_Rock_Opera_Vol_II/Punk_Rock_Opera_-_Punk_Rock_Opera_Vol_II_Album_-_13_I_Wanna_be_a_MachineComments: http://freemusicarchive.org/Curator: Copyright: Attribution: http://creativecommons.org/licenses/by/4.0/
Ben Lambert, Department of Computer Science, University of Oxford, gives the Graduate Lecture on Thursday 6th May 2021, for the Department of Statistics.
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ಕೋವಿಡ್-19 ಪ್ರಭಾವಗಳನ್ನ ಗಣಿತಶಾಸ್ತ್ರ ಮಾದರಿಗಳ ಮೂಲಕ ಹೇಗೆ ನೋಡಬಹುದು? ಈ ಮಾದರಿಗಳಿಂದ ಜನರಮೇಲಾಗುವಂತಹ ಪ್ರಭಾವಗಳು, ಇದರಿಂದ ಪೀಡಿತರಾಗುವವರು ಮತ್ತು ಬರುವ ಸಮಯದಲ್ಲಿ ಇದರ ಪರಿಣಾಮಗಳನ್ನು ಈ ಮಾದರಿಗಳ ಮುಲಕ ಭವಿಷ್ಯದ ಸಂಭಾವ್ಯಗಳನ್ನು ವಿವರಿಸಬಹುದಾ?ನಮ್ಮ 62ನೇ ಸಂಚಿಕೆಯಲ್ಲಿ ಐ.ಐ.ಎಸ್.ಸಿ. ಸಂಸ್ಥೆಯ ಪ್ರೊಫೆಸರ್ ವಿಶ್ವೇಶ ಗುತ್ತಲ್ ಅವರು ಕೊರೋನ ರೋಗದ ಸುತ್ತ ರಚಿಸುತ್ತಿರುವಂತಹ ಗಣಿಕಾಶಾಸ್ತ್ರ ಮಾದರಿಗಳ ಬಗ್ಗೆ ಮಾತನಾಡುತ್ತಾರೆ. ವಿಶ್ವೇಶವರು ಭಾರತಾದ್ಯಂತ ಅನೇಕ ವಿಜ್ಞಾನಿಗಳು ಮತ್ತು ಸಂಶೋಧಕರ ಜೊತೆ INDSCI-SIM ಮಾಡಲ್ ಎಂಬುದನ್ನು ಉಪಯೋಗಿಸಿ ಕೊರೋನಾ ರೋಗವಿನ ಪ್ರಭಾವಗಳು ನಮ್ಮ ಜಿಲ್ಲಾದ್ಯಂತ, ಕರ್ನಾಟಕ ರಾಜ್ಯಾದ್ಯಂತ, ಮತ್ತು ದೇಶಾದ್ಯಂತದಲ್ಲಿ ಹೇಗೆ ಮೂಡಿಬರಬಹುದು ಎಂಬುದನ್ನು ಸಂಶೋದಿಸುತ್ತಿದ್ದರೆ. ಅವರ ಸಂಶೋಧನೆಯು ಇನ್ನೂ ನಡೆಯುತ್ತಿದೆ, ಮತ್ತು ಮಾದರಿಯ ಮೊದಲ ಫಲಿತಾಂಶಗಳನ್ನು ಹಂಚಿಕೊಳ್ಳಲಾಗುತ್ತಿದೆ. ಇದರ ಬಗ್ಗೆ ಹೆಚ್ಚಾಗಿ ತಿಳಿಯಲು https://indscicov.in/indscisim/ ಗೆ ಹೋಗಿ.How does one mathematically model the spread of a pandemic like COVID-19? Can our society be reduced to simple mathematical systems? How can these models help governments, the public, and decision-makers? What are the assumptions and limits of disease models?Professor Vishwesha Guttal of the Indian Institute of Science talks to Pavan Srinath on Episode 62 of the Thale-Harate Kannada Podcast. Guttal is a part of a pan-Indian team of researchers who have recently developed an INDSCI-SIM model, which can be used at national, state and local levels to understand how the Coronavirus disease might spread, and what actions can be taken. This model is a work in progress, and you can read more at https://indscicov.in/indscisim/More links: @vishuguttal on Twitter | Google Scholar | Lab Websiteಫಾಲೋ ಮಾಡಿ. Follow the Thalé-Haraté Kannada Podcast @haratepod.Facebook: https://facebook.com/HaratePod/Twitter: https://twitter.com/HaratePod/Instagram: https://instagram.com/haratepod/ಈಮೇಲ್ ಕಳಿಸಿ, send us an email at haratepod@gmail.com and tell us what you think of the show.Subscribe & listen to the podcast on iTunes, Google Podcasts, Castbox, AudioBoom, YouTube, Souncloud, Saavn, Spotify or any other podcast app. We are there everywhere. ಬನ್ನಿ ಕೇಳಿ!
Oxford Mathematician Peter Howell starts the second part of the 2nd year Differential Equations course which focuses on boundary problems. This lecture follows on from the lecture series last term - the first lecture of that series can be seen here. https://www.youtube.com/watch?v=0mGAh2GlD6I&t=708s We are making these lectures available to give an insight in to the student experience and how we teach. All lectures are followed by tutorials where pairs of students spend an hour with their tutor to go through the lectures and accompanying work sheets. An overview of the course and the relevant materials is available here: https://courses.maths.ox.ac.uk/node/44050
Oxford Mathematician Peter Howell starts the second part of the 2nd year Differential Equations course which focuses on boundary problems. This lecture follows on from the lecture series last term - the first lecture of that series can be seen here. https://www.youtube.com/watch?v=0mGAh2GlD6I&t=708s We are making these lectures available to give an insight in to the student experience and how we teach. All lectures are followed by tutorials where pairs of students spend an hour with their tutor to go through the lectures and accompanying work sheets. An overview of the course and the relevant materials is available here: https://courses.maths.ox.ac.uk/node/44050
This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto. David, who joined us back on episode #96 back in January ‘18, is back to talk about the various papers that have come out of his lab over the last year and change, focused on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In our conversation, we talk through quite a few of David’s papers on the topic, which you can find below on the show notes page. We discuss the problem that David is trying to solve with this research, the potential that ODEs have to replace “the backbone” of the neural networks that are used to train today, and David’s approach to engineering. The complete show notes for this episode can be found at twimlai.com/talk/364.
Do you know Google Summer of Code? It’s a time of year when students can contribute to open-source software by developing and adding much needed functionalities to the open-source package of their choice. And Demetri Pananos did just that. He did it in 2019 with PyMC3, for which he developed the API for ordinary differential equations. In this episode, he’ll tell us why and how he did that, what he learned from the experience, and what the strengths and weaknesses of the API are in his opinion. Demetri is a Ph.D candidate in Biostatistics at Western University, in Ontario, Canada. His research interests surround machine learning and Bayesian statistics for personalized medicine. He earned his Master’s in Applied Mathematics from The University of Waterloo and is a firm believer in open science, interdisciplinary collaboration, and reproducible research. Other than that, he loves plotting data and drinking IPA beer – well, who doesn’t?” Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ ! Links from the show: Demetri on Twitter: https://twitter.com/PhDemetri Demetri on GitHub: https://github.com/Dpananos Demetri's website: https://dpananos.github.io/ PyMC3, Probabilistic Programming in Python: https://docs.pymc.io/ Chris Bishop, Pattern Recognition and Machine Learning: https://www.amazon.fr/Pattern-Recognition-Machine-Learning-Christopher/dp/0387310738 Bayesian Data Analysis (Gelman, Carlin, Stern, Dunson, Vehtari, Rubin): http://www.stat.columbia.edu/~gelman/book/ Parallel Plots: https://arviz-devs.github.io/arviz/generated/arviz.plot_parallel.html --- Send in a voice message: https://anchor.fm/learn-bayes-stats/message
How are infectious diseases and pandemics modeled? How can we model and estimate the spread of Influenza or Coronavirus Disease 2019? And most importantly, how can disease modeling help us design effective interventions that contain the spread of a pandemic like COVID-19?Srini Venkatraman of the Biocomplexity Institute at the University of Virginia joins us on Episode 133 of The Pragati Podcast.The Pragati Podcast is a weekly talkshow on public policy, economics and international relations hosted by Pavan Srinath.Srini Venkatramanan is a research scientist at the Biocomplexity Institute, University of Virginia. Hailing from Chennai, Srini did his PhD at the Department of Electrical Engineering, Indian Institute of Science, Bangalore. At the Biocomplexity Institute, he uses mathematical and computational models of human societies to study the spread of infectious diseases and ways to control them. You can reach on Twitter at @sriniv_venkat, and find his research on Google Scholar.Suggested Links:1. Using data-driven agent-based models for forecasting emerging infectious diseases (2018). https://www.sciencedirect.com/science/article/pii/S1755436517300221The Future of Influenza forecasts. (2019) https://www.pnas.org/content/116/8/2802Modelling Disease Outbreaks in realistic urban social networks. (2004) http://www.uvm.edu/pdodds/teaching/courses/2009-08UVM-300/docs/others/2004/eubank2004a.pdfBiocomplexity Institute's COVID-19 Dashboard. https://covid19.biocomplexity.virginia.edu/If you have any questions or comments, write in to podcast@thinkpragati.com, we would love to hear from you.Follow The Pragati Podcast on Instagram: https://instagram.com/pragatipodFollow Pragati on Twitter: https://twitter.com/thinkpragatiFollow Pragati on Facebook: https://facebook.com/thinkpragatiSubscribe & listen to The Pragati Podcast on iTunes, Saavn, Spotify, Castbox, Google Podcasts, AudioBoom, YouTube or any other podcast app. We are there everywhere.
Kelly St. Onge is an Artistically Science-Minded Mathematician with dreams of being an Astronaut. Attending college courses in Bellingham, Longview, Vancouver, and Portland - Kelly has thus far completed classes in Engineering Physics, Trigonometry, Pre-Calculus through Calc-4, Linear Algebra, Differential Equations, Discrete Math, Java, Data Structure, C++ Programming, and many more (that I think he casually breezed over). Kelly's interests are vast, from Rick and Morty to Star Wars, Travis Scott to Hall N Oates, from people to robots and football to snowboarding - he's passionate about learning, living life with a smile, and deep dirty heavy filthy, bass. We begin with a scaffolding of Mathematics, Science, Quantum Physics, Quantum Computing, and Artificial Intelligence. We touch on lots of things math and science: Layers of abstraction, bits, programming, compiling, machine code, particles, superposition, prime numbers, infinite numbers, induction and some current progressions surrounding A.I. - and we swing by Schrodingers Cat, A-Ha Moments, De-bugging YO' SELF, The Mandolorian, Malicious Compliance, The Singularity, Kung-Fu Panda, and even Illegal Numbers. Kelly and I together try to use silly analogies, broad terminologies, terrible accents, a couple of beers and a long-lasting friendship to hopefully open up new possibilities and understandings for listeners. Science, Math, Music... it's all Art. It's all language for the taking. Not blocked off for any certain types or caged by any One Way-sayers. Being open, friendly, and interested can bring you great knowledge and companionship. When Kelly and I first met I had recently graduated high school and fell in love with electronic music - we bonded over Bassnectar's Divergent Spectrum album and soon after he actually taught me the basics of djing and let me take home his Dj Controller to practice. Who knew that his kindness and our mutual love for music would catapult a friendship through a decade of adventures? Cheers to many more, Sir K3lls. What program are you running? is it time to upgrade your mental software? Can you De-bug your own system? When you learn processes pertaining to new knowledge, how can you return those same processes inward towards old stories? Create the mental structure that is sensible to you and start listening to, or searching for - the wisdom that surrounds us all. Be well.
Episode: 3229 The Mathematics of HIV Infections. Today, we talk about the mathematics of HIV infections and treatment.
Non homogenous nth order differential equations
We continue with our series of Student Lectures with this first lecture in the 2nd year Course on Differential Equations. Professor Philip Maini begins with a recap of the previous year's work before moving on to give examples of ordinary differential equations which exhibit either unique, non-unique, or no solutions. This leads us to Picard's Existence and Uniqueness Theorem... This latest student lecture is the fifth in our series shining a light on the student experience in Oxford Mathematics. The full course overview and materials can be found here: https://courses.maths.ox.ac.uk/node/44002
We continue with our series of Student Lectures with this first lecture in the 2nd year Course on Differential Equations. Professor Philip Maini begins with a recap of the previous year's work before moving on to give examples of ordinary differential equations which exhibit either unique, non-unique, or no solutions. This leads us to Picard's Existence and Uniqueness Theorem... This latest student lecture is the fifth in our series shining a light on the student experience in Oxford Mathematics. The full course overview and materials can be found here: https://courses.maths.ox.ac.uk/node/44002
#CollegeRugby #BattleForTheMitten EAST LANSING, MI - When the dust settled on Week 4 of the D1A College Rugby season, some questions were answered, while others were left as cliff-hangers... thanks to Mother Nature (Battle for the Mitten). In just three minutes (that's right, THREE MINUTES) our Matt McCarthy recaps what happened, previews what's to come, sneaks in a Catfish Hunter quote and the Post Office oath. So put down the Differential Equations textbook , toss aside the Shakespeare cliff notes (we know you're not reading the plays) or hide from your boss in the bathroom. This is your time to watch/listen, while Gordon Livermore, Clayton Kendrick-Holmes, Bruce McLane, Tui Osborne, Mike Petri and Nate Ebner will likely feel their ears ringing. And thanks to Josh Ressio, Albert Asta, the legendary Jonny Lewis Films & Next Level Rugby for their help in producing this. http://RugbyWrapUp.com *Watch or download as a Podcast. Please feel free to comment below and please share with your mates! All Segments: rugbywrapup.com/category/videos/ Find All Here: -Web: http://www.RugbyWrapUp.com -Twitter: https://twitter.com/RugbyWrapUp @RugbyWrapUp, @Matt_McCarthy00, @JonnyLewisFilms, @Junoir Blaber, @JWB_RWU, @Luke Bienstock, @Ronan Nelson, @MeetTheMatts, @Declan Yeats. -Face Book: https://www.facebook.com/RugbyWrapUp -Instagram: https://www.instagram.com/RugbyWrapUp -YouTube: https://www.youtube.com/RugbyWrapUp -Apple PodCasts: https://itunes.apple.com/us/podcast/rugby-wrap-up/id1253199236?mt=2 #D1ARugby #USARugby #RugbyWrapUp Week 4 USA D1A College Rugby Recap, Preview, Battle For The Mitten & Mother Nature
Far too often, we evaluate math ability in high schoolers solely on the basis of grades and level of math learned. A more accurate assessment of a student’s potential on challenging math tasks--including those posed on tests like the SAT and ACT--should consider mathematical maturity. Amy and Mike invited author and test prep professional Dr. Steve Warner to define what this means and explain the link between mathematical maturity and test success. What are five things you will learn in this episode? What is mathematical maturity? How can you determine your "level" of mathematical maturity? Can mathematical maturity be improved? How does mathematical maturity relate to standardized test scores? What steps can students seeking higher levels of mathematical maturity take? MEET OUR GUEST Dr. Steve Warner, a New York native, earned his Ph.D. at Rutgers University in Pure Mathematics in May 2001. After Rutgers, Dr. Warner joined the Penn State Mathematics Department as an Assistant Professor and in September 2002, he returned to New York to accept an Assistant Professor position at Hofstra University. By September 2007, Dr. Warner had received tenure and was promoted to Associate Professor. He has taught undergraduate and graduate courses in Precalculus, Calculus, Linear Algebra, Differential Equations, Mathematical Logic, Set Theory, and Abstract Algebra. From 2003 – 2008, Dr. Warner participated in a five-year NSF grant, “The MSTP Project,” to study and improve mathematics and science curriculum in poorly performing junior high schools. He also published several articles in scholarly journals, specifically on Mathematical Logic. Dr. Warner has nearly two decades of experience in general math tutoring and tutoring for standardized tests such as the SAT, ACT, GRE, GMAT, and AP Calculus exams. He has tutored students both individually and in group settings. In February 2010 Dr. Warner released his first SAT prep book “The 32 Most Effective SAT Math Strategies,” and in 2012 founded Get 800 Test Prep. Since then Dr. Warner has written books for the SAT, ACT, SAT Math Subject Tests, AP Calculus exams, and GRE. In 2018 Dr. Warner released his first pure math book called “Pure Mathematics for Beginners.” Since then he has released several more books, each one addressing a specific subject in pure mathematics. Dr. Steve Warner can be reached at steve@SATPrepGet800.com LINKS Gaining Mathematical Maturity Dr. Warner’s extensive catalog of math prep books ABOUT THIS PODCAST Tests and the Rest is THE college admissions industry podcast. Explore all of our episodes on the show page.
In this episode, Tim and I talk a little bit about the current hype around the words Artifical Intelligence, Machine Learning, Neural Networks and we hope to provide listeners with some sort of clarity on the co-relationship between these words.We then transition into some more technical content, where Tim discusses, how to use neural networks to solve differential equations.
In this episode, Tim and I talk a little bit about the current hype around the words Artifical Intelligence, Machine Learning, Neural Networks and we hope to provide listeners with some sort of clarity on the co-relationship between these words.We then transition into some more technical content, where Tim discusses, how to use neural networks to solve differential equations.
The mission to build confidence in Pandora's new friend begins-- and it also meets a very sudden roadblock. MOU is written by Raeanna Nicole Larson. Pandora is voiced by Raeanna Nicole Larson. Hades is played by Mark Lamont. Aphrodite is voiced by Sydney Rose Hover. Editing by Luuk Van Hoomissen. Theme song "Medusa" by Teddy McKrell. For more information and transcripts, please go to www.mountolympusuniversity.com.
A teaching assistant works through a problem on differential equations.
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How I feel about todays Differential Equations test
January 15, 2018 The arrival of massive amounts of data from imaging, sensors, computation and the internet brought with it significant challenges for data science. New methods for analysis and manipulation of big data have come from many scientific disciplines. The first focus of this talk is the application of ideas from differential equations, such as variational principles and numerical diffusion, to image and data analysis. Examples include denoising, segmentation, inpainting and texture extraction for images. The second focus is the development of new ideas in information science, such as soft-thresholding, sparsity and compressed sensing. The subsequent application of these ideas to differential equations and numerical computation is the third focus of this talk. Examples include soft-thresholding in multiscale computation, solutions with compact support and “compressed modes” for differential equations that come from variational principles, and applications to quantum physics. Speakers Russel E. Caflisch, Director, Courant Institute; Professor of Mathematics, NYU
MRS 017: Hal Fulton Today's episode is a My Ruby Story with Hal Fulton. Hal talked about his contributions to the Ruby community. He is the author of The Ruby Way. Listen to learn more about Hal! [01:20] – Introduction to Hal Fulton Hal is the author of the Ruby Way, which was one of the books that Charles picked up when he started programming in Ruby. It’s still being published and still up to date. Hal still loves computers and programming but he admitted that he can’t keep up with it anymore. [03:50] – How did you get into programming? Hal didn’t really have the opportunity to get into programming at a young age. So, the first chance he had was when he just turned 17, he went to a summer program, which was a 6-week program at a college. It was dealing with Genetics and Population Genetics. He had lab work and learned some mathematical models. He also learned BASIC and a couple of primitive microcomputers with different versions of BASIC. His first BASIC programs were the hello world and followed by Population Genetics. [06:20] – How did you get into Ruby? Hal went to college and majored in Physics. But he was taking Computer Science courses along the way. He dropped Thermodynamics and made a C in Differential Equations. Then, he had to change his degree. He always wanted to major in Physics but he thought that Computer Science is easier and more fun. For him, it will be 10 times easier to find a job and it will be 10 times easier to make money. Hal worked for a community college for a while. Then, he went to IBM in Houston for a series of contracts. He ended up 7 contracts at IBM, making some 6 months to 2 years. He knew more about their internal processes and procedures. One of the last contracts he ever had in IBM was in October 1999. Someone at IBM told him that he should know Ruby and pointed him to the website. According to Hal, he was busy learning Ruby. He didn’t know Ruby yet but he knew that he can write. Picks Hal Fulton Ruby Comms Novel: Secret History by Donna Tartt Novel: The Shadow of the Wind by Carlos Ruiz Zafon TV Series: The Man in the High Castle Musical: Hamilton Charles Max Woods Book: The Ruby Way by Hal Fulton Editor: Obie Fernandez of The Ruby Way Ruby Dev Summit
MRS 017: Hal Fulton Today's episode is a My Ruby Story with Hal Fulton. Hal talked about his contributions to the Ruby community. He is the author of The Ruby Way. Listen to learn more about Hal! [01:20] – Introduction to Hal Fulton Hal is the author of the Ruby Way, which was one of the books that Charles picked up when he started programming in Ruby. It’s still being published and still up to date. Hal still loves computers and programming but he admitted that he can’t keep up with it anymore. [03:50] – How did you get into programming? Hal didn’t really have the opportunity to get into programming at a young age. So, the first chance he had was when he just turned 17, he went to a summer program, which was a 6-week program at a college. It was dealing with Genetics and Population Genetics. He had lab work and learned some mathematical models. He also learned BASIC and a couple of primitive microcomputers with different versions of BASIC. His first BASIC programs were the hello world and followed by Population Genetics. [06:20] – How did you get into Ruby? Hal went to college and majored in Physics. But he was taking Computer Science courses along the way. He dropped Thermodynamics and made a C in Differential Equations. Then, he had to change his degree. He always wanted to major in Physics but he thought that Computer Science is easier and more fun. For him, it will be 10 times easier to find a job and it will be 10 times easier to make money. Hal worked for a community college for a while. Then, he went to IBM in Houston for a series of contracts. He ended up 7 contracts at IBM, making some 6 months to 2 years. He knew more about their internal processes and procedures. One of the last contracts he ever had in IBM was in October 1999. Someone at IBM told him that he should know Ruby and pointed him to the website. According to Hal, he was busy learning Ruby. He didn’t know Ruby yet but he knew that he can write. Picks Hal Fulton Ruby Comms Novel: Secret History by Donna Tartt Novel: The Shadow of the Wind by Carlos Ruiz Zafon TV Series: The Man in the High Castle Musical: Hamilton Charles Max Woods Book: The Ruby Way by Hal Fulton Editor: Obie Fernandez of The Ruby Way Ruby Dev Summit
MRS 017: Hal Fulton Today's episode is a My Ruby Story with Hal Fulton. Hal talked about his contributions to the Ruby community. He is the author of The Ruby Way. Listen to learn more about Hal! [01:20] – Introduction to Hal Fulton Hal is the author of the Ruby Way, which was one of the books that Charles picked up when he started programming in Ruby. It’s still being published and still up to date. Hal still loves computers and programming but he admitted that he can’t keep up with it anymore. [03:50] – How did you get into programming? Hal didn’t really have the opportunity to get into programming at a young age. So, the first chance he had was when he just turned 17, he went to a summer program, which was a 6-week program at a college. It was dealing with Genetics and Population Genetics. He had lab work and learned some mathematical models. He also learned BASIC and a couple of primitive microcomputers with different versions of BASIC. His first BASIC programs were the hello world and followed by Population Genetics. [06:20] – How did you get into Ruby? Hal went to college and majored in Physics. But he was taking Computer Science courses along the way. He dropped Thermodynamics and made a C in Differential Equations. Then, he had to change his degree. He always wanted to major in Physics but he thought that Computer Science is easier and more fun. For him, it will be 10 times easier to find a job and it will be 10 times easier to make money. Hal worked for a community college for a while. Then, he went to IBM in Houston for a series of contracts. He ended up 7 contracts at IBM, making some 6 months to 2 years. He knew more about their internal processes and procedures. One of the last contracts he ever had in IBM was in October 1999. Someone at IBM told him that he should know Ruby and pointed him to the website. According to Hal, he was busy learning Ruby. He didn’t know Ruby yet but he knew that he can write. Picks Hal Fulton Ruby Comms Novel: Secret History by Donna Tartt Novel: The Shadow of the Wind by Carlos Ruiz Zafon TV Series: The Man in the High Castle Musical: Hamilton Charles Max Woods Book: The Ruby Way by Hal Fulton Editor: Obie Fernandez of The Ruby Way Ruby Dev Summit
Comedians attempt to discover the latest news about how differential equations help with monitoring the spread of diseases and worm movement. Laugh and learn about cutting edge science & more.