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Strange Loop 2019
Videos
1 — "Probabilistic scripts for automating common-sense tasks" by Alexander Lew
2 — "Why do tree ensembles work?" by Joe Ross
3 — "Explainable AI: the apex of human and machine learning" by Baxter Eaves
4 — "Zipline - A Declarative Feature Engineering Library" by Nikhil Simha
5 — "InferenceQL: AI for data engineers, without the math" by Ulrich Schaechtle
6 — "Enhancing Angklung Music Rehearsals with Modern Tech" by Trapsilo Bumi
7 — "Alda's dynamic relationship with Clojure" by Dave Yarwood
8 — "Minimalist Piano Forever" by Mouse Reeve
9 — "Meander: Declarative Explorations at the Limits of FP" by Jimmy Miller
10 — "Typing the Untyped: Soundness in Gradual Type Systems" by Ben Weissmann
11 — "Beyond traces: the insights in trace aggregates" by Daniela Miao
12 — "Formal Specification and Taming Other People's Tech" by Marianne Bellotti
13 — "Building a Unified Cancer Immunotherapy Data Library" by Lacey Kitch and Ben Kamphaus
14 — "RGB to XYZ: The Science and History of Color" by John Austin
15 — "Jagged, ragged, awkward arrays" by Jim Pivarski
16 — "CSS Algorithms" by Lara Schenck
17 — "Performance Matters" by Emery Berger
18 — "Apache Pulsar and the Legacy of Telegraphy" by Jowanza Joseph
19 — "Rhapsody in Zero Knowledge: Proving Without Revealing" by Tony Arcieri
20 — "Pattern Matching @ Scale Using Finite State Machine" by Ajit Koti and Rashmi Shamprasad
21 — "A better story for Kubernetes secrets" by Seth Vargo
22 — "Voice Driven Development: Who needs a keyboard anyway?" by Emily Shea
23 — "Riding the stream processing wave" by Samarth Shetty
24 — "Towards an Open, Reason(ML)able Web" by Parker Ziegler
25 — "Behind The New York Times Crossword" by Darren McCleary
26 — "Declarative APIs in an Imperative World" by Tilde Thurium
27 — "Watch the Watcher: Facial-Recognition& Police Oversight" by Eileen McFarland
28 — "Better Integration Tests for Performance Monitoring" by Maude Lemaire
29 — "How We Tell Stories In Code" by Hannah Howard
30 — "Dive into Streams with Brooklin" by Celia Kung
31 — "¡Escuincla babosa! A Python Deep Learning Telenovela" by Lorena Mesa
32 — "Beyond Alt-Text: Trends in Online Accessibility" by Ian Forrest
33 — "Complexities of Color in Computing" by Ellen Wondra
34 — "Safety in Chaos: Forming Realistic Failure Hypotheses" by Subbu Allamaraju
35 — "Can Androids Conceive of Electric Sheep" by Kwame Thomison
36 — "Community Driven Development" by Christine Zagrobelny
37 — "Assistive Augmentation: Lip Reading with AI" by Serg Masis
38 — "Securing cloud applications and their credentials" by Srdjan Grubor
39 — "Tweet My Wedding Dress" by Jo Franchetti
40 — "How Your Company Can Help Sustain Open Source" by Danielle Gellis
41 — "How to build with data trust and privacy as a baseline" by Noble Ackerson
42 — "Digital and Social Resilience through the NYC Mesh" by Michael Donatz and Jillian Murphy
43 — "Realtime Hybrid Reinforcement Learning at Scale" by Kexin Xie and Yuxi Zhang
44 — "The strange loop making parasitic insects our friends" by Mary Marek-Spartz
45 — "Computer Vision and NLP for Multi-Task Fashion Modeling" by Michael Sugimura
46 — "Privacy Governance & Explainability in ML/AI" by Jared Maslin
47 — "Improving law interpretability using NLP" by Serena Peruzzo
48 — "Automating Operations of a Global CDN" by Robert Fernandes
49 — "Easy Abstract Interpretation with SPARTA" by Arnaud Venet and Jez Ng
50 — "Finding bugs without running or even looking at code" by Jay Parlar
51 — "Compacting the Uncompactable" by Bobby Powers
52 — "Parser Parser Combinators for Program Transformation" by Rijnard van Tonder
53 — "Empowering people to build a digital bank" by Eric Yoshimura and Riad Vargas
54 — "Better Spotify Playlists through Discrete Optimization" by Cedric Hurst
55 — "New programming constructs for probabilistic AI" by Marco Cusumano-Towner
56 — "Federated learning: private distributed ML" by Mike Lee Williams
57 — "How to Fix AI: Solutions to ML Bias (And Why They Don't Matter)" by Joyce Xu