The Humans of the Wyss (HOW) series features members of the Wyss community discussing their work, the influences that shape them as professionals, and their collaborations at the Wyss Institute and beyond. In 2018, Sanjid Shahriar started developing two new skills: powerlifting and computational biology. Each was started with an initial goal of complementing things he already possessed…| Wyss InstituteWyss Institute
New Wyss Catalyst Embraces AI Landscape to Advance Innovation and Collaboration| Wyss InstituteWyss Institute
LunchBox includes Machine Learning components (LunchBoxML) that make Accord.NET and ML.NET workflows accessible within Grasshopper. These components allow users to train, save, and test machine learning models using a variety of algorithms. This example uses LunchBox’s Regression Trainer alongside Ladybug’s environmental modeling tools to predict incident solar radiation for an irregular surface.| PROVING GROUND
While the status quo for models might be inconsistent or otherwise messy labeling, a utility in LunchBox can simplify label clean up. This article provides step-by-step instructions for preparing a simple Grasshopper script that will swap out a variety of Revit room names with standard labels. The post Weekly Workflow: Clean Up Revit Room Names with LunchBox appeared first on PROVING GROUND.| PROVING GROUND
Learn how to use LunchBox's new Building Massing utilities to create accurate building massing schemes quickly.| PROVING GROUND
Implementing a Boolean Function| ritog.github.io
tl;dr: I think it’s time we rethink a lot of how we document computational work. Prompted by AI but also just general increasing complexity of software, we need to move from documenting how something came to be towards documenting what that something is. This more practical form of documentation will allow us to focus our efforts on what matters scientifically. | RajLab
"Suppose some race of intelligent beings who have the power to visit the earth and see what is going on there. But... they are absolutely unable either to see, hear, or touch any animal living or dead" The post Wallace’s Thought Experiment on Understanding How Life Works first appeared on Life Is Computation.| Life Is Computation
The level of computation power guaranteed by the universal approximation theorem is the same as that of look-up tables. It sounds way less impressive when you put it that way. The post The Truth About the [Not So] Universal Approximation Theorem first appeared on Life Is Computation.| Life Is Computation
This blog post is written as a dialogue between two imaginary characters, one of them representing myself (H) and the other a stubborn straw man (S). It is broken into four parts: the dogma, the insight, the decoy, and the clues. If you do not feel like reading the whole thing, you can skip to […] The post Breaking Free from Neural Networks and Dynamical Systems first appeared on Life Is Computation.| Life Is Computation
Imagine you have a target probability distribution and you want to estimate the expectation . That’s lovely and everything, but if it was easy none of us would have jobs. High-dimensional quadrature is a pain in the arse. A very simple way to get an decent estimate of is to use importance sampling, that is taking draws , from some proposal distribution . Then, noting that we can use Monte Carlo to estimate the second integral. This leads to the importance sampling estimator This all seems m...| Un garçon pas comme les autres (Bayes)
Every day a little death, in the parlour, in the bed. On the lips and in the eyes. In the curtains in the silver, in the buttons, in the bread, in the murmurs, in the pauses, in the gestures, in the sighs.Sondheim The most horrible sound in the world is that of a reviewer asking you to compare your computational method to another, existing method. Like bombing countries in the name of peace, the purity of intent drowns out the voices of our better angels as they whisper: at what cost. Before ...| Un garçon pas comme les autres (Bayes)
Saw a recent Twitter poll from Casey Brown on the topic of figure scripting vs. "Illustrator magic", the former of which is the practice of writing a program to completely generate the figure vs. putting figures into Illustrator to make things look the way you like. Some folks really like programming it all, while I've argued that I don't think this is very efficient, and so arguments go back on forth on Twitter about it. Thing is, I think ALL of us having this discussion here are already wa...| RajLab
I gave a talk “Variations on Weihrauch degrees” at Computability in Europe| math.andrej.com