Isaac Gym offers a high performance learning platform to train policies for wide variety of robotics tasks directly on GPU. Both physics simulation and the neural network policy training reside on GPU and communicate by directly passing data from physics buffers to PyTorch tensors without ever going through any CPU bottlenecks. This leads to blazing fast training times for complex robotics tasks on a single GPU with 2-3 orders of magnitude improvements compared to conventional RL training that uses a CPU based simulator and GPU for neural networks.
8,9 Millionen virtuelle Österreicher gehen in einem Computerprogramm arbeiten, zur Schule oder bleiben zuhause - und bilden eine Orientierung für die ...
This study was carried out to investigate the current status of simulation use during teaching within health
sciences and engineering faculties at Saudi universities. Simulation in teaching has been shown to be
effective at enhancing student understanding. However, the current status of simulation use in teaching,
especially in Saudi universities, remains unclear. To address this, here we aimed to: determine the ability
of simulation to achieve appropriate levels of realism; identify the effectiveness of simulation at improving
skills, awareness, and knowledge in health sciences and engineering; and test whether simulation improves
the critical and evaluative thinking of students. Data were collected using online questionnaires. We found
that simulation is being effectively applied in Saudi universities.
* Discover the universe with our downloadable atlas—the Digital Universe—where you can fly from the Sun out the edge of the observable universe.
* TED Talk: youtu.be/MlOjSQeO1Dg
NOTE: The MVN macro is obsolete. Beginning in SAS 9.2, use the RANDNORMAL function in SAS/IML software or PROC SIMNORMAL in SAS/STAT software to generate multivariate normal data.
PURPOSE:
The %MVN macro generates multivariate normal data using the Cholesky root of the variance-covariance matrix. Bivariate normal data can be generated using the DATA step.
This article explains how to rapidly accelerating expertise and behavior change using a powerful methodology of simulating rapidized failure cycles in a compressed time frame.
RoboDK is a powerful offline simulator for industrial robots. This video shows how to create and simulate a robot program using Python. For more information...
RoboDK software integrates robot simulation and offline programming for industrial robots. Deliver solutions for any industrial application, from robot machining applications to pick and place. Prepare your simulation in a matter of minutes!
Mursion is the virtual training environment where professionals practice and master the complex interpersonal skills to be effective in high stakes careers.
Building and Environment is an international journal that publishes original research papers and review articles related to building science and human interaction with the built environment.
The Journal invites research articles conveying robust, tested knowledge on:
•technologies and integrated systems for high performance buildings and cities
•thermal, acoustic, visual, air quality building science and human impacts
•tools for the design and decision-making community, including tested computational, economic, educational and policy tools.
•solutions for mitigating environmental impacts and achieving low carbon, sustainable built environments.
The Journal is focused on new knowledge, rigorously verified with measurement and analysis, related to the environmental performance of buildings in different scales, ranging from cities, communities, buildings, to building systems and assemblies.
TeachLivE is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment
OOF is designed to help materials scientists calculate macroscopic properties from images of real or simulated microstructures. It reads an image, assigns material properties to features in the image, and conducts virtual experiments to determine the macroscopic properties of the microstructure.
In this paper authors study the effect of recommender systems (CF) on sale diversity. Motivated by "Lorenz curve", They use Gini coefficient (G) for measuring the bias of a recommender system. First, they used the so-called "urn-model" to explore the biases analytically. In this setting a stochastic function ( e.g., sigmoid function) gives the probability that an item being recommended by the system at each point of time, based on the current marker share. THE MODEL SUGGESTS the average increase of concentration bias for different settings of the model.
T. Licht, L. Dohmen, P. Schmitz, L. Schmidt, и H. Luczak. Proceedings of the European Simulation and Modelling Conference (Paris 2004), стр. 188-195 *** Best Paper Award ***. Ghent, EUROSIS-ETI, (2004)
A. Künzer, L. Schmidt, C. Schlick, и H. Luczak. Autonome Produktionszellen: Komplexe Produktionsprozesse flexibel automatisieren, Springer, Berlin, (2006)
T. Licht, L. Schmidt, C. Schlick, L. Dohmen, и H. Luczak. The Future of Product Development: Proceedings of the 17th CIRP Design Conference (Berlin 2007), стр. 543–554. Berlin, Springer, (2007)