7:00 – 4:00 Antonio Workshop
- Thought of a title: Transportation as a Service: Concepts, Implementations, and Black Swans
- Starting on Market-oriented programming.
- Would Kaufman’s patches apply here to localize markets? Certainly the idea of long jumps on the fitness landscapes initially (between patches), then short jumps on a single patch could make a lot of sense. For example, it might make sense to fly from BWI to dulles for an important meeting if traffic is very bad. This is why Sao Paulo and Mexico City have helicopters.
- Can A* be applied to create a “best path” through a set of resources (based on time, money, etc) to get to a destination?
- Some interesting belief space work: “Plotto”: Generating Truly Offensive Stories Since 1928.
- “Plotto: The Master Book of All Plots” (Amazon title!) was written by William Cook in 1928. I have had the physical book for years, which is a gorgeous object, but I have always wanted a digital database of the contents.
7:00 – 12:00, 2:00 – 5:00 ASRC Research
- Finish up At Home in the Universe notes – done!
- Get started on framing out Antonio’s paper – good progress!
- Basically, Aaron and I think there is a spectrum of interaction that can occur in these systems. At one end is some kind of market, where communication is mediated through price, time, and convenience to the transportation user. At the other is a more top down, control system way of dealing with this. NIST RCS would be an example of this. In between these two extremes are control hierarchies that in turn interact through markets
- Wrote up some early thoughts on how simulation and machine learning can be a thinking fast and slow solution to understandable AI
“There was no colusion“…”
Anyone involved in that meddling to justice.“
Premises for Data Science Magical Realism
- What follows are some premises for data science magical realism stories based (very, very loosely) on experiences I’ve had or heard about — premises, that is, for stories about impossible, absurd, magical things happening to data scientists in ordinary data science situations. Enjoy!
- More from David Masad
Program Synthesis in 2017-18
- A high-level overview of the recent ideas and representative papers in program synthesis as of mid-2018.
- Alex (Oleksandr) Polozov, a researcher in the Deep Procedural Intelligence group at Microsoft Research AI, Redmond. I work on neural program synthesis from input-output examples and natural language, intersections of machine learning and software engineering, and neuro-symbolic architectures. I am particularly interested in combining neural and symbolic techniques to tackle the next generation of AI problems, including program synthesis, planning, and reasoning.
UMAP Uniform Manifold Approximation and Projection for Dimension Reduction | SciPy 2018 |(video) (paper)
- UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. The result is a practical scalable algorithm that applies to real world data. The UMAP algorithm is competitive with t-SNE for visualization quality, and arguably preserves more of the global structure with superior run time performance. Furthermore, UMAP as described has no computational restrictions on embedding dimension, making it viable as a general purpose dimension reduction technique for machine learning.
- This could be nice for building maps
7:00 – 5:00 ASRC MKT
- Progress on getting my keys back!
- Got everyone’s response on the Doodle, but only 4 of the 5 line up…
- Finish first pass through PhD review slides
- Start SASO slides and poster?
- Continue with exporting terms from the sim and importing them into python. One of the things that will matter is the tagging of the data with the seed terms from the sim as well as the cell name so that reconstructions can be compared for accuracy.
- Added the cell location to each <sampleData> so that there can be some kind of tagging/ground truth about the maps we’re inferring.
- Working on iterating through the etree hierarchy. I can now read in the file, parse it and get elements that I’m looking for.
- Tomorrow will be pulling the seed words out of the code in an ordered list. Generated sentences will need to be timestamped to that conversations can be reconstructed. That being said, it could be interesting to take seed words out of a generated sentence and add them to the embedding seed words. Something to think about.
7:00 – 9:00 2:00 – 5:00 ASRC MKT
- Redo doodle for all of August – done
- Schooling Fish May Offer Insights Into Networked Neurons
- Iain Couzin is deciphering the rules that govern group behavior. The results might provide a fresh perspective on how networks of neurons work together.
- City arts and lectures: The New Science Of Psychedelics With Michael Pollan
- Psychedelics reduce the section of the brain that have to do with the sense of self. Pollan thinks that this also happens with certain types of rhythmic music and in crowd situations. This could be related to stampedes and flocking.
- LSD May Chip Away at the Brain’s “Sense of Self” Network
- Brain imaging suggests LSD’s consciousness-altering traits may work by hindering some brain networks and boosting overall connectivity
- Add an attractor scalar for agents that’s normally zero. A vector to each agent within the SIH is calculated and scaled by the attractor scalar. That vector is then added to the direction vector to the agent – done?
- Remove the heading influence based on site – done
- Add a white circle to the center of the agent that is the size of the attraction scalar. Done
- Add a ‘site trajectory’ to the spreadsheet that will have the site lists (and their percentage?)
- Worked on A2P white paper with Aaron.
- Worked on a response to Dr. Li’s response
ASRC IRAD 9:00 – 2:00
- Mind meld with Bob
- Revisit Yarn
- Excel stuff?
- Connect to AWS using bastion. Look in FoxyProxy how to. I need certs
- Drop on rabbit to deploy to CI and QA and NESDIS ONE (production)
- Don’t want sensitive information in Git. We use sharepoint instead
- Notes and screenshots in document.