Tootfinder

@… I've been asked this question myself from folks earlier in their career than I am, but obviously you're beyond me, so I'm curious to hear your take.
What is the most valuable skill for a software developer to acquire to ensure their success?
(I already suspect I have a hunch as to your thoughts, but if you're willing, I'd …

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Kosei Tsuji, Ichiro Maruta, Kenji Fujimoto, Tomoyuki Maeda, Yoshihisa Tamase, Tsukasa Shinohara
https://arxiv.org/abs/2505.23138

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Nonlinear Model Predictive Control (NMPC) offers a powerful approach for controlling complex nonlinear systems, yet faces two key challenges. First, accurately modeling nonlinear dynamics remains difficult. Second, variables directly related to control objectives often cannot be directly measured during operation. Although high-cost sensors can acquire these variables during model development, their use in practical deployment is typically infeasible. To overcome these limitations, we propose a…

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, Han Li, Tyler J. Loftus, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Karandeep Singh, Ruogu Fang, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
https://

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system generating treatment recommendations based on patient states can be a substantial asset in perioperative decision-making, as in cases of intraoperative hypotension, for which suboptimal management is associated with acute kidney injury (AKI), a common and morbid postoperative complication. We developed a Reinforcement Learning (RL) model to recommend opti…

Scott Logic Lead Developer Darren Smith shares a report of carbon emission measuring software tools in 2025, their scope, and reviews these in the context of principal cloud service providers' offerings, including Google Cloud, Microsoft Azure, and Amazon AWS.
"Tools for measuring Cloud Carbon Emissions (updated for 2025)"

Tools for measuring Cloud Carbon Emissions (updated for 2025)
In this post I'll discuss ways of estimating the emissions caused by your Cloud workloads as a first step towards reaching your organisation's Net Zero goals.

Predicting protein folding dynamics using sequence information
Ezequiel A. Galpern, Federico Caama\~no, Diego U. Ferreiro
https://arxiv.org/abs/2505.17237 …

Predicting protein folding dynamics using sequence information
Natural protein sequences somehow encode the structural forms that these molecules adopt. Recent developments in structure-prediction are agnostic to the mechanisms by which proteins fold and represent them as static objects. However, the amino acid sequences also encode information about how the folding process can happen, and how variations in the sequences impact on the populations of the distinct structural forms that proteins acquire. Here we present a method to infer protein folding dynam…