Dynamically Typed

By Leon Overweel (Dynamically Typed)

#60: Google Pixel car crash detection, Model Search for TensorFlow, an a movie frame search engine





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Dynamically Typed
#60: Google Pixel car crash detection, Model Search for TensorFlow, an a movie frame search engine
Hey everyone, welcome to Dynamically Typed #60. Two weeks after we were ice skating on the canals, spring has arrived in Amsterdam and I’m sitting on the roof, writing this issue in the sun after a great row this morning! 🌞🚣‍♂️
For productized AI, I wrote about the car crash detection feature on Google’s Pixel phones, and about an NYT article on Exposing.AI, a tool that traces facial recognition datasets back to their Flickr origins. For ML research, I’ve got a cool new open-source AutoML tool from Google called Model Search, plus three new long reads from Distill. Finally, for cool things, I found an ML-powered website that lets you find movie screenshots based on the objects in them.

Productized Artificial Intelligence 🔌
Machine Learning Research 🎛
  • ⚡️ Google has released Model Search, an open-source AutoML platform for the TensorFlow ecosystem. The pitch: “Model Search is domain agnostic, flexible and is capable of finding the appropriate architecture that best fits a given dataset and problem, while minimizing coding time, effort and compute resources.” It can run on a single machine or in a distributed setting, and uses a reinforcement learning-inspired “explore & exploit” methodology to find a model architecture that optimizes for user-specified metrics. For efficiency, Model Search also uses knowledge distillation and weight sharing between experiments runs. It’s available on GitHub at google/model_search.
  • 📜 Three new long reads on Distill: a bit of a meta article about how they think about Visualizing Weights, which has been an important feature in lots of the publication’s recent articles; a new entry to the Circuits thread on reverse-engineering Curve Circuits; and an application of Neural Cellular Automata (NCA) for generating Self-Organizing Textures. That last one features a fun interactive graphic at the top. I didn’t get around to reading these in detail before sending out today’s DT — they’re quite long — but wanted to share them anyways.
Cool Things ✨
Searching for "clock" on Film.
Searching for "clock" on Film.
  • 🎞 After I wrote about same.energy, a visual search engine in the last issue of DT, I came across another similar project this week: Flim is a search engine for famous movie frames, which uses a computer vision model to tag screenshots with the objects featured in them. A search for “clock”, for example, yields screen caps from Slumdog Millionaire, V for Vendetta, and Peter Pan. I can imagine this’ll become a very useful tool for cinematographers or film students who are exploring the different creative ways in which certain subjects have been portrayed in the past.
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Leon Overweel (Dynamically Typed)

My thoughts and links on productized artificial intelligence, machine learning technology, and AI projects for the climate crisis. Delivered to your inbox every second Sunday.

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