Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.
Methods: The data were sourced from 20,732 case admissions in 16,288 patients over 1 year in our institution. We enhanced the bidirectional recurrent neural network model with a novel time-invariant ...
Thomas Smeenk, BA, unveils a proposed conformal invariant, A = E/(hv), explored as a potential bridge between General ...
Abstract: This letter presents innovative data-driven model predictive control methods for unknown linear time-invariant systems. Two distinct approaches, both utilizing only input and state ...
Battling your way through an eerie research facility infested with strange creatures? Check. Lots of dudes in lab coats? Check. A trip to a sub-zero location? Check. Despite having all the hallmarks ...
The Invariant Analyzer is an open-source scanner that enables developers to find bugs and quirks in AI agents. It enables you to detect vulnerabilities, bugs, and security threats in your agent, ...
A Huntsville-based defense company has been awarded several high-value contracts, on the whole totaling more than $200 million. Invariant Corp., an engineering and software company, will be working ...
The U.S. Navy has awarded two contracts worth $400 million combined to Invariant and Anduril Industries to integrate and deliver a counter-unmanned aircraft system engagement system, or CES, and ...
This repository contains the code for the activities of the project IMPACT4Mech on data-driven control of continuous-time linear time-invariant systems. Main files: these files contain the MATLAB code ...
A watched pot never boils, but time flies when you’re having fun. These all-too-familiar sayings have a basis in solid science—our sense of time really does expand and contract depending on the way we ...
An information-theoretic model correctly predicts that rats quickly learn an instrumental action despite a 16-min delay to reinforcement, challenging basic assumptions in reinforcement learning ...