![]() If you have a Personal or Student license, this means only one person can use it at a time, but he or she can be using either the Windows or Mac version. You may install the software on as many different computers as you need, but you cannot have more people actually using the software at any given time than permitted by your license. Your license allows you to use either the Windows or Macintosh version of the software and to freely move back and forth between the two versions so long as you do not exceed the maximum number of concurrent users permitted under the terms of the license. If the name is subsequently proven to be false, misleading, or otherwise outside the terms of the license, then the license will be immediately void without recourse by the licensee. The registration must be in the name of an actual bona fide organization licensed to do business in the state where the license is registered. Institutional licenses are a site license for use by up to six concurrent users. Student licenses cannot be issued to faculty, staff, or anyone else who is not a full-time student. Limited to one concurrent user at any time. Student licenses cannot be upgraded to Lightwright 6 or beyond without first being upgraded to an Individual license.Ĭapacities and features are identical to the Individual License. ![]() After the three-year license has expired, the software will cease to function. License must be in the name of the student, who must be able to produce proof of student status when requested. Student licenses are available only to a bona-fide full-time student (with appropriate photo student ID) for a period of time limited to 3 years from the date the approval code is issued, and are limited to one concurrent user. Please note that if an institution buys an individual registration and registers it in the name of someone working there, then that person will be the legal licensee and can legally take it with them when/if they go elsewhere. Personal licenses are available only in the name of an individual, actual living person and cannot be registered in the name of a title, pseudonym, company, university, or other organization. Lightwright is sold as Personal, Student, or Institutional licenses. The Console Link features require ETC Eos/Nomad family version 2.3.3 or later.A color monitor or laptop with at least 1024×768 resolution, thousands or millions of colors.Mac OS X Lion 10.7 or later with Intel processor.The Console Link features require ETC Eos/Nomad family version 2.3.3 or later. Internet connection required for installation and use of some features.An internet connection is required for installation and to use some features. ![]() A color monitor or laptop with at least 1024×768 resolution, 256 colors or better.Hard drive or SSD with at least 350MB of available space.6GB of physical RAM, 12GB or more strongly recommended. ![]() Windows 7 SP1, or Windows 8.1, or Windows 10.This study reviews recent advances in UQ methods used in deep learning, investigates the application of these methods in reinforcement learning, and highlights fundamental research challenges and directions associated with UQ. In this regard, researchers have proposed different UQ methods and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text classification, social media texts and recidivism risk-scoring), bioinformatics, etc. Bayesian approximation and ensemble learning techniques are two widely-used types of uncertainty quantification (UQ) methods. They have been applied to solve a variety of real-world problems in science and engineering. Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. ![]()
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