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59:46EN
JSJane Street· 2025年3月12日In Young Cho on Trading Research and Finding Signal in Financial DataYaron Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.Machine LearningFintechSoftware engineering+2
2:36:13ZH
Zhang Xiaojun Podcast· 2025年2月24日ポッドキャスト · 2 人松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文ゲスト Songlin Yang(松琳) · ホスト 张小珺从动态稀疏注意力到线性注意力混合架构:三条长上下文路线如何兼顾训练、推理与硬件效率Transformers & attentionGPU programming & kernelsモデルと学習+2
2:41:47EN
Lex Fridman· 2021年6月12日ポッドキャスト · 2 人Geometry Is the Cilantro of Mathゲスト Jordan Ellenberg · ホスト Lex FridmanJordan Ellenberg tells Lex Fridman that the last 150 years of mathematics have been about one question: when two things count as the same.MathematicsMachine LearningScience Communication+2
59:33EN
JSJane Street· 2020年10月7日Laurent Mazare on Python, OCaml and Machine LearningYaron Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.Programming LanguagesMachine LearningSoftware engineering+1
1:49:51EN
Lex Fridman· 2020年6月27日ポッドキャスト · 2 人The Idea Once Called a Devolution Now Powers Almost Every New Chipゲスト David Patterson · ホスト Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.インフラとデプロイOpen-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 2019年9月26日ポッドキャスト · 2 人400 Spins in a Pocket, and a Universe Too Small to Store Themゲスト Leonard Susskind · ホスト Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.Black HolesConsciousnessPhilosophy of Science+2
1:28:53EN
Lex Fridmanポッドキャスト · 2 人Machine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Thinkゲスト MIT Sloan · ホスト Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.モデルと学習機械学習の基礎AI Strategy+3