36:21 "Probabilistic scripts for automating common-sense tasks" by Alexander Lew Strange Loop Conference
35:39 "PyTorch: Fast Differentiable Dynamic Graphs in Python" by Soumith Chintala Strange Loop Conference
45:32 "Blueprints for a Universal Reasoning Machine" by Zenna Tavares (Strange Loop 2022) Strange Loop Conference
48:10 "New programming constructs for probabilistic AI" by Marco Cusumano-Towner Strange Loop Conference
36:42 "A Funny Thing Happened On The Way To Reimplementing AlphaGo" by Xuanyi Chew Strange Loop Conference
41:07 "Scalable Anomaly Detection (with Zero Machine Learning)" by Arthur Gonigberg Strange Loop Conference
43:20 "Comedy Writing With Small Generative Models" by Jamie Brew (Strange Loop 2023) Strange Loop Conference
39:37 "Is my Large Language Model a Strange Loop?" by Zac Hatfield-Dodds (Strange Loop 2023) Strange Loop Conference
40:26 "Exploring deep space and deep ocean with AI guidance" by Daniel Van Hoesen Strange Loop Conference
43:57 "Vulpes: A functional approach to deep machine learning on the GPU" by Rob Lyndon Strange Loop Conference
44:40 "How to Fix AI: Solutions to ML Bias (And Why They Don't Matter)" by Joyce Xu Strange Loop Conference
41:57 "Just-So Stories for AI: Explaining Black-Box Predictions" by Sam Ritchie Strange Loop Conference
41:32 "Explainable AI: the apex of human and machine learning" by Baxter Eaves Strange Loop Conference
7:04 "Interactive Debugging and Testing Support for Deep Learning" by Tianyi Zhang Strange Loop Conference
39:50 "Powering Spotify's Audio Personalization Platform" by Josh Baer (Strange Loop 2022) Strange Loop Conference
42:38 "Machine Learning for Developer Productivity" by Satish Chandra (Strange Loop 2022) Strange Loop Conference
41:05 "InferenceQL: AI for data engineers, without the math" by Ulrich Schaechtle Strange Loop Conference
47:20 "Leveraging AI for Global Health" by África Periañez (Strange Loop 2022) Strange Loop Conference
34:36 "Level Up Your Machine Learning Lifecycle" by Yaqi Chen (Strange Loop 2022) Strange Loop Conference
50:06 "Democratizing AI - Back-fitting end-to-end machine learning" by Joel Young and Bo Long Strange Loop Conference
32:11 "Towards new deep learning abstractions on top of exist frameworks" by Tristan Webb Strange Loop Conference
43:19 "Poetry (almost) From Scratch - Teaching versification to a neural network" by Yann Schwartz Strange Loop Conference
35:25 "Client Side Deep Learning Optimization with PyTorch" by Tyler Kirby and Shane Caldwell Strange Loop Conference
49:10 "Astronaut Horse: Stable Diffusion Artist Collaborations" by Tom Betthauser (Strange Loop 2023) Strange Loop Conference
36:04 "Risks and Opportunities of AI in Incident Management" by Emily Arnott (Strange Loop 2023) Strange Loop Conference
38:08 "Without Open Data, there is no Ethical Machine Learning" by Erin Mikail Staples (Strange Loop 2023) Strange Loop Conference
38:47 "Machine Learning for Relevance and Serendipity" by Jenny Finkel (2013) Strange Loop Conference
34:25 "How not to read the room: Creating wearables with ML" by Stephanie Nemeth Strange Loop Conference
32:48 "For AI, By AI: Freedom & Evolution of the AlgoPoetic Avant-Garde" by Connor Walsh Strange Loop Conference
30:20 "From Video Games to Fashion: a Machine Learning Journey" by Africa Perianez Strange Loop Conference
22:39 Strange Loop Chat with África Periañez about predictive models and benshi.ai Strange Loop Conference
