Part 4 of 4In this episode, Cheri and Jonily discuss breaking down the essential concepts in mathematics that every student should master, the power of reference tasks, and strategies to individualize learning with less prep and stress for teachers. They also explore how functional skills intersect with math learning and how to make math accessible to all students without lowering rigor.We’ve separated this workshop into four parts. Look for all four

This episode discusses The Book of Tao, minimal descriptions of strings, as well as Kolmogorov Complexity.

In episode 28 of Recsperts, I sit down with Robin Burke, professor of information science at the University of Colorado Boulder and a leading expert with over 30 years of experience in recommender systems. Together, we explore multistakeholder recommender systems, fairness, transparency, and the role of recommender systems in the age of evolving generative AI.We begin by tracing the origins of recommender systems, traditionally built around user-centric models. However, Robin challenges

In dieser Folge Sprechen Tim und Janis kurz über die letzten Tage. Darunter insbesondere auch die Punkte:Was war die beste Pizza? Wie war die diesjährige Data Unplugged? Ansonsten ist der Name Programm: Was sind eigentlich Faktenchecks? Wer führt sie durch? Wie funktionieren sie? Wie sieht es bei den Community Notes aus? Kann Open Source hier eine Lösung sein? Und einiges anderes zu diesem Themenkomplex.

In this episode of "In the Interim...," Scott Berry and Kert Viele navigate the nuanced debate surrounding the integration of external data in clinical trials. Discover the implications and potential benefits and pitfalls of leveraging historical and real-world evidence in the analysis of clinical trials. Key Highlights:• Exploration of how external data can influence clinical trial analyses and the inherent risks versus rewards.• Examination of the frequentist versus Bayesian perspectives

Hi! Können LLMs | ChatGPT denken? In dieser Folge geht es um selbstreflektierendes Nachdenken von Large Language Models. Am Beispiel von ChatGPT zeige ich Euch, welche Rolle die Auswahl des Models spielt und welche Grenzen es bei aktuellen Reasoning Modellen gibt. Mein Youtube Kanal: https://www.youtube.com/@prof.sebastian

━━*＼こんな番組／*━━お笑い芸人と数学教師の二刀流で活躍中のタカタ先生が算数が「不安」なあなたを 算数「ファン」に変えちゃう番組です。是非お聴きいただき、 お子さんへ算数の楽しさを伝えてくださいね！ 質問や感想も随時受付中！ Xにて「 #算数わくわく」でポストしてください。 時々、LINEのオープンチェットで寄せられた質問にもお答えしますよ! ▶ ▶▶今回のあらすじ◀◀◀ 前回に引き続きChatGPTで遊んでみました! 是非LINEのオープンチャットに登録お願いしMATH! ◤◤◤リンクたち～！ ◢◢◢ 登録よろしくおねがいしMATH!! 【LINEのオープンチャット】 http://bit.ly/math_wakuwaku 【公式Xさん】 https://x.com/wakuwakutakata?s=21&t=oUO7icKjzXWiFYEaEWEPIw 【BASEショップ】 https://podlabfukoka.base.shop/ Learn more about your ad choices. Visit megaphone.fm/adchoices

В этом выпуске мы говорим с Андреем Мищенко — руководителем направления машинного обучения в Яндекс.Рекламе. Реклама — одна из немногих областей, где используется вся палитра моделей: от бустинга до модных генеративных моделей. За каждый процент эффективности приходится побороться.В выпуске мы обсудим: 💰 Ликбез: что к чему и где там ML?💵 Sotheby’s, VCG, GSP — это всё аукционы, поговорим и про них.💎 Как запускать большие сетки в продакшн: ведь работать должно быстро, а данных очень много.💸 GenAI

This week we talk about modern AI benchmarks, taking a close look at Google's recent Gemini 2.5 release and its performance on key evaluations, notably Humanity's Last Exam (HLE). In the session we covered Gemini 2.5's architecture, its advancements in reasoning and multimodality, and its impressive context window. We also talked about how benchmarks like HLE and ARC AGI 2 help us understand the current state and future direction of AI. Read it on the blog: https://arize.com/blog/ai-be...

Episode #183: Is ChatGPT really Intelligent?@Philosophize This!. Discussion of ideas of John Searle and Noam Chomsky and questions about machine intelligence.釐清問題：聰明、智能與智慧： Narrow vs. General Intelligence 定義(一般/廣泛)智能：Turing Test vs. Chinese Room Argument The False Promise of ChatGPT by Chomky, Roberts and Watumull. Engineering vs. Scientific; Undergeneration vs. Overgeneration (hallucination) 執迷目前 AGI (Artificial General Intelligence) 的代價 歡迎指教

Part 3 of 4In this episode, Cheri and Jonily discuss breaking down the essential concepts in mathematics that every student should master, the power of reference tasks, and strategies to individualize learning with less prep and stress for teachers. They also explore how functional skills intersect with math learning and how to make math accessible to all students without lowering rigor.We’ve separated this workshop into four parts. Look for all four

DeepSeek has been out for over 2 months now, and things have begun to settle down. We take this opportunity to contextualize the developments that have occurred in its wake, both within the AI industry and the world economy. As systems get more "agentic" and users are willing to spend increasing amounts of time waiting for their outputs, the value of supposed "reasoning" models continues to be peddled by AI system developers, but does the data really back these claims?Check out our DeepSeek

Donald Trump is raising tariffs on Canada, but has his northern neighbour done anything to deserve them?In her Spring Statement, Chancellor Rachel Reeves announced that the UK’s fiscal “headroom” was, again, £9.9bn. We explore this curious coincidence.Is it true that one in four people in the UK is disabled? And what does that mean for the state of our workforce?Tim Harford investigates some of the numbers in the news.Presenter: Tim HarfordReporter: Lizzy McNeill Producer: Nathan Gower Series

Send us a text Welcome to the latest episode of Living Proof, our podcast produced in collaboration with Plus.maths.org In this episode, we dive into the importance of communicating mathematics to a broader audience, a growing priority within the maths community. Sara Khan, Communications Manager at the Isaac Newton Institute, shares how the INI is championing mathematics communication. Then, Rachel Thomas and Marianne Freiberger, editors of Plus.maths.org, revisit their conversation with Han...

In this episode of "In the Interim," Don Berry shares the life and work of Jimmie Savage, his advisor and a legendary figure in Bayesian statistics. Hosted by Scott Berry, the discussion reveals the personal and professional experiences that shaped Savage's groundbreaking contributions. Discover the intricacies of Savage's influence on statistical thought and his profound legacy, from his tragic childhood to a profound effect on Bayesian statistics and scientific thought.Key Highlights:•

Send us a text Welcome to the latest episode of Living Proof, our podcast produced in collaboration with Plus.maths.org In this episode, we talked to famous Maths historian, David E. Rowe, who provided scientific advice for the play Diving into math with Emmy Noether, which was staged as part of the Modern History of Mathematics research programme and the Inclusivity in the Mathematical Sciences workshop at the INI. We dive deep into the life and work of Emmy Noether, and about what it'...

In questa puntata della Logica del Rischio approfondiamo il concetto di correlazione, una misura statistica tanto popolare quanto spesso fraintesa. Scopriremo innanzitutto che ne esistono diverse tipologie, anche se la più nota è quella di Pearson, basata su covarianza e deviazione standard, che misura solo le relazioni lineari tra due variabili.Capiremo meglio cosa significa una correlazione positiva, negativa o nulla, e affronteremo insieme alcuni limiti fondamentali di questa misura, come la sua

━━*＼こんな番組／*━━お笑い芸人と数学教師の二刀流で活躍中のタカタ先生が算数が「不安」なあなたを 算数「ファン」に変えちゃう番組です。 是非お聴きいただき、 お子さんへ算数の楽しさを伝えてくださいね！ 質問や感想も随時受付中！ Xにて「 #算数わくわく」でポストしてください。 今回はLINEのオープンチェットで寄せられた質問にお答えしていきます！ ▶ ▶▶今回のあらすじ◀◀◀ 割合の授業後編です！Chat GPTに文章題を作ってもらったのですが、これがハマる！！ マサヌジャンの大好きな志村けんさんで文章題を作ってもらいました！ あなたも好きな人やキャラクターでAIに文章題を作ってもらおう！ ◤◤◤リンクたち～！ ◢◢◢ 登録よろしくおねがいしMATH!! 【LINEのオープンチャット】 http://bit.ly/math_wakuwaku 【公式Xさん】 https://x.com/wakuwakutakata?s=21&t=oUO7icKjzXWiFYEaEWEPIw 【BASEショップ】 https://podlabfukoka.base.shop/ Learn

Automata theory: it's a computational model study, focusing on finite automata (DFA and NFA) and push-down automata (PDA). The course explores regular languages, their properties and proofs of non-regularity using concepts like the pumping lemma and Myhill-Nerode theorem. Foundational mathematical concepts such as set theory, sequences, relations, alphabets, strings, and languages are reviewed. The equivalence between NFAs and DFAs is established through the powerset construction, demonstrating that

É possibile essere razzisti anche con i numeri?  Storia di straordinari uomini non-occidentali e di una cifra che ha rivoluzionato tutto.