EP-62-QB-43-MISTÉRIOS DAS MISTURAS HOMOGÊNEAS: EXPLORANDO A SEPARAÇÃO DE COMPONENTES

Papo de Química

Player FM - Internet Radio Done Right

two 年前前追加した

コンテンツは José Edson Gomes de Souza によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、José Edson Gomes de Souza またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

TechSurge: Deep Tech VC Podcast

1
Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

約 13 日前1:14:43

「あとで再生する」

リスト

気に入り

気に入った

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

約 1 年前 14:30

MP3•エピソードのホーム

Olá, Sejam bem-vindos e bem-vindas a mais um episódio do “Papo de Química” o seu podcast do ensino de química. Nesse episódio, realizamos uma viagem fascinante pelo mundo dos processos de separação dos componentes das misturas homogêneas, eles são utilizados principalmente na indústria química, farmacêutica e alimentícia, onde é necessário purificar e separar os componentes de uma mistura. Fique ligado para mais episódios e mantenha essa chama da curiosidade sempre acesa!

É um assunto muito importante para as provas dos vestibulares, para o ENEM, para o SSA e para o nosso conhecimento

Convido todos vocês para que sigam o “Papo de Química”,

Compartilhe com seus amigos,

Preparados?

Vamos nessa!"

Mande suas dúvidas, sugestões, conteúdos que você gostaria de ouvir no papo de química, para nosso email: podcast@papodequímica.com

Visite @papodequimica_

Vamos aumentar a nossa podosfera, mande esse podcast para um amigo seu.

EQUIPE TÉCNICA

Roteiro: Edson Souza

Gravação: Eloize Nascimento, Edson Souza, Priscila Amorim

Edição e Montagem: Edson Souza

94 つのエピソード

#José Edson Gomes de Souza #Ciência #Química #Edson Souza

Papo de Química