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This project implements a Machine Learning (ML) pipeline for the Adver-City synthetic dataset. The dataset is designed for investigating cooperative perception in autonomous vehicles. Overall, this project enables efficient, reproducible modelling of the Adver-City dataset through ML workflows. We have chosen to train a model to identify weather conditions (clear, fog, rain) from nighttime images. Note: full GitRepo available here. Figure 1: Example Scenario (foggy) from the Adver-City dataset. The dataset contains images of a variety of weather conditions (clear, fog, rain) and times of day (day, night). In this project we focus on classifying weather conditions from nighttime images. Operation The project is organized into four main stages. Depending on what your goal is (data exploration, ingestion, or training), the notebooks indicated below describe how to run each stage of the workflow. ...

A new theory for why the Machines kept humans alive in The Matrix —inspired by recent discoveries in scaling large language models. One measure of a film’s quality is the diversity of fan theories it inspires. When a story has the right blend of depth, ambiguity, and cultural timing, the entertainment value extends past the credits—it compels audiences to dissect and reinterpret decades later. The Matrix is a great example of this: 25 years on, people are still following the white rabbit down Reddit threads. A quick internet search reveals a myriad of fan theories about the true nature of its characters and storylines. One even claims John Wick is actually a sequel to The Matrix. ...

A small story about the density of honey at airports. There I was standing in front of a stainless steel table, belongings strewn about, a sweater spilling out of my half-unzipped duffel bag. A stranger was rummaging through my stuff. I had no shoes on. I had arrived three hours early — probably too early — mostly out of anxiety surrounding the unpredictability of moments like this. Then the airport security agent pulled a small jar of honey from my bag, as if it were an emerald excavated from an ancient tomb in some long-forgotten jungle. ...