36:21
"Probabilistic scripts for automating common-sense tasks" by Alexander Lew
Strange Loop Conference
38:49
"Machine learning failures - for art!" by Janelle Shane
31:50
"How machine learning helps cancer research" by Evelina Gabasova
35:39
"PyTorch: Fast Differentiable Dynamic Graphs in Python" by Soumith Chintala
42:31
"The Biological Path Towards Strong AI" by Matt Taylor
45:32
"Blueprints for a Universal Reasoning Machine" by Zenna Tavares (Strange Loop 2022)
48:10
"New programming constructs for probabilistic AI" by Marco Cusumano-Towner
36:42
"A Funny Thing Happened On The Way To Reimplementing AlphaGo" by Xuanyi Chew
41:07
"Scalable Anomaly Detection (with Zero Machine Learning)" by Arthur Gonigberg
43:20
"Comedy Writing With Small Generative Models" by Jamie Brew (Strange Loop 2023)
39:37
"Is my Large Language Model a Strange Loop?" by Zac Hatfield-Dodds (Strange Loop 2023)
35:30
"Dancing With Myself" by Mariel Pettee
44:08
"Federated learning: private distributed ML" by Mike Lee Williams
40:26
"Exploring deep space and deep ocean with AI guidance" by Daniel Van Hoesen
55:28
"Computing Like the Brain" by Jeff Hawkins (2012)
41:16
"Why do tree ensembles work?" by Joe Ross
43:57
"Vulpes: A functional approach to deep machine learning on the GPU" by Rob Lyndon
33:46
"Learning from machines" by Ashi Krishnan
44:40
"How to Fix AI: Solutions to ML Bias (And Why They Don't Matter)" by Joyce Xu
7:11
"Finding Bugs in Deep Learning Programs" by Foutse Khomh
41:57
"Just-So Stories for AI: Explaining Black-Box Predictions" by Sam Ritchie
33:43
"Zipline - A Declarative Feature Engineering Library" by Nikhil Simha
41:32
"Explainable AI: the apex of human and machine learning" by Baxter Eaves
"Near-Realtime Monitoring of Drones at Sea" by Todd Bealmear
7:04
"Interactive Debugging and Testing Support for Deep Learning" by Tianyi Zhang
39:50
"Powering Spotify's Audio Personalization Platform" by Josh Baer (Strange Loop 2022)
42:38
"Machine Learning for Developer Productivity" by Satish Chandra (Strange Loop 2022)
35:11
"Crowd dynamics, RL and Unity: A Journey" by Tomas Diaz
47:20
"Leveraging AI for Global Health" by África Periañez (Strange Loop 2022)
41:05
"InferenceQL: AI for data engineers, without the math" by Ulrich Schaechtle
36:46
"Monadic Deep Learning" by Yang Bo, Xiaolei Wang
34:36
"Level Up Your Machine Learning Lifecycle" by Yaqi Chen (Strange Loop 2022)
50:06
"Democratizing AI - Back-fitting end-to-end machine learning" by Joel Young and Bo Long
43:19
"Poetry (almost) From Scratch - Teaching versification to a neural network" by Yann Schwartz
32:11
"Towards new deep learning abstractions on top of exist frameworks" by Tristan Webb
35:25
"Client Side Deep Learning Optimization with PyTorch" by Tyler Kirby and Shane Caldwell
42:09
"Running Programs In Reverse for Deeper A.I." by Zenna Tavares
47:01
"Fight AI Bias With… Bias" by Noble Ackerson (Strange Loop 2022)
49:10
"Astronaut Horse: Stable Diffusion Artist Collaborations" by Tom Betthauser (Strange Loop 2023)
38:38
"Impacting Global Policy by Understanding Litter Data" by Sean Doherty
36:04
"Risks and Opportunities of AI in Incident Management" by Emily Arnott (Strange Loop 2023)
25:56
"Machine Learning for Personalised Health" by Danielle Belgrave
38:08
"Without Open Data, there is no Ethical Machine Learning" by Erin Mikail Staples (Strange Loop 2023)
38:47
"Machine Learning for Relevance and Serendipity" by Jenny Finkel (2013)
34:25
"How not to read the room: Creating wearables with ML" by Stephanie Nemeth
32:48
"For AI, By AI: Freedom & Evolution of the AlgoPoetic Avant-Garde" by Connor Walsh
30:20
"From Video Games to Fashion: a Machine Learning Journey" by Africa Perianez
22:39
Strange Loop Chat with África Periañez about predictive models and benshi.ai
