Welcome to Episode 1 of The Logic of Risk. In this introductory segment, we will begin by defining “risk” and uncovering why it’s far more nuanced than most people typically think.Are you ready to take the risk?Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.

Welcome to the highly anticipated season three premiere! Join hosts Aaron, Derek, and Marshall as they delve into intriguing discussions centered around the automotive industry. In this episode, they explore how Mensor has tackled historical challenges in precision measurement and examine the critical requirements shaping the hydrogen automotive sector. Plus, they uncover the emerging challenges in the development of pressure solutions for hydrogen applications. Whether you're a dedicated aut...

Sometimes coming up with a task for Kindergarten is the hardest part! In this episode, I share 7 tasks perfect for your kindergarten classroom in a building-thinking classrooms style! Dive into the world of playful, hands-on math tasks in this episode of Making Number Sense Make Sense! From counting and number writing with the mischievous dogs at Paw-some Pups Playhouse to solving addition problems with a broken cash register in "Cash Out," we’ll explore creative ways to engage young learners. Plus,

Sizlerden gelen mesajları değerlendiriyor, programımız hakkında bilinmeyenlere değiniyoruz.

Confondere rischio e pericolo porta a conseguenze apocalittiche! (tipo essere attaccati da uno squalo nel proprio salotto)https://cervellogico.com

I discuss what is called the locally nameless representation of syntax with binders, following the first couple of sections of the very nicely written paper "The Locally Nameless Representation," by Charguéraud. I complain due to the statement in the paper that "the theory of λ-calculus identifies terms that are α-equivalent," which is simply not true if one is considering lambda calculus as defined by Church, where renaming is an explicit reduction step, on a par with beta-reduction.&n...

It’s that time of year again, the time when we ask some of our favourite statistically-inclined people for their numbers of the year. We present them to you - from falling birth rates in India to children saved by vaccines. Contributors: RukminiS, Data for India Professor Sir David Spiegelhalter, Cambridge University, Hannah Ritchie, Our World in Data. Presenter: Charlotte McDonald Producers: Lizzy McNeill and Vicky Baker Series Producer: Tom Colls Editor: Richard Vadon Sound Engineer: Donald

Boğaziçi Üniversitesi'nde ve üniversitenin bünyesindeki Matematik Bölümü'nde yaşananlar üzerine konuşuyoruz.

Los consejos y trucos de la Calculadora Alicia" ofrecen información útil y atajos para usar la Calculadora de Alicia manera eficaz. Estos consejos y trucos tienen como objetivo mejorar tu eficiencia y mejorar tu experiencia al mostrarte funciones avanzadas, funciones ocultas y técnicas para ahorrar tiempo. Ya sea que estés resolviendo ecuaciones complejas, realizando cálculos rápidos o personalizando la configuración, estos consejos te ayudan a aprovechar al máximo las capacidades de la Calculadora

Matematik ile mantık arasındaki ilişki üzerine konuşmaya devam ediyoruz.

“Say what you like about Mussolini but he did make the trains run on time.” This phrase is the political equivalent of “every cloud has a silver lining” – but does it have any factual basis? Mussolini’s dictatorship in Italy was full of atrocities, brutal suppression and propaganda. Did it also create a more efficient railway network? We speak to Professor Ruth Ben-Ghiat about the truth of the claim and why the Mussolini regime wanted us to believe it. Presenter: Lizzy McNeill Producer:

Sappiamo sopravvivere in un mondo governato dalla tecnologia? Quanto teniamo allenate le nostre capacitá logiche? Le materie STEM sono davvero cosí cervellotiche da risultare incomprensibili ai piú? https://cervellogico.com

This episode focuses on QuickSort, a divide-and-conquer sorting algorithm, comparing it to MergeSort, and analyzing its average and worst-case time complexities. It then explains the order selection problem, which involves finding the kth smallest element in a dataset, presenting several algorithms with varying time complexities and practical considerations, including a linear worst-case algorithm and an approximate heuristic. The analysis includes recurrence relations and their solutions to

I continue the discussion of POPLmark Reloaded , discussing the solutions proposed to the benchmark problem. The solutions are in the Beluga, Coq (recently renamed Rocq), and Agda provers.

I discuss the paper POPLmark Reloaded: Mechanizing Proofs by Logical Relations, which proposes a benchmark problem for mechanizing Programming Language theory.

Ci si chiede spesso, a volte con entusiasmo, a volte con paura, se il machine learning possa rendere le “macchine” più forti (e magari anche più cattive …. impresa veramente ardua … come anche essere più buone) degli esseri umani.La cosa è stata esplorata già molto tempo fa da scrittori e registi di fantascienza, con tutte le gradazioni del caso, che ne hanno tratto dei veri e propri capolavori, purtroppo non molto presi sul serio dalle “persone serie”.

Matematik ile mantık arasındaki ilişki üzerine konuşuyoruz.

Are most Americans barely holding their head above water when it comes to personal finances?That’s what various US politicians and news outlets keep suggesting. They can’t stop using a statistic about people living “paycheck to paycheck”. But what does this really mean? We go behind the headlines to unpick the numbers. Contributor: Ben Krauss, journalist Presenter: Charlotte McDonald Producer: Vicky Baker and Lizzy McNeill Series Producer: Tom Colls Production co-ordinator: Katie

Episode Summary: In this episode, Maribel Lopez speaks with Dell’s Chief Technology Officer and Chief AI Officer John Roese about Dell’s enterprise AI technologies from their development to their future. Roese explains how the initial magical thinking around artificial intelligence has shifted into a more practical approach that aims to maximize the benefits of each implementation. He also discusses the emerging trends and ideas that he is seeing in the AI space.Key Themes: Maribel and John s...

This episodes presents methods for solving recurrence equations, which are crucial for analyzing the time complexity of recursive algorithms. It introduces asymptotic notations (Big O, Big Omega, Big Theta, little o, little omega) to describe the growth of functions. The lecture then explores several techniques for solving recurrences, including the substitution method, iteration method (and recursion trees), the Master Theorem, and solving homogeneous and non-homogeneous linear recurrences