The power and reliability of the approach is demonstrated using examples including a complex Rietveld refinement with sample- and data-related complications; automatic analysis of multiple data sets; a pipeline from indexing through structure solution to refinement; and fitting PDF data.
Abstract
This paper describes topas-editor and TOPilot, which provide a powerful interface to the TOPAS software suite and allow generative AI-driven automation of complex crystallographic tasks. topas-editor is a TOPAS-aware VS Code extension designed for the rapid creation and editing of TOPAS input files and for interacting with the software. It knows TOPAS syntax, has crystallographic-aware editing features and provides in-line user guidance via hover tips and automated links to reference manuals. TOPilot is a collection of Python routines and machine-accessible reference documents that allow AI-driven automated analysis in TOPAS. It uses a transferable topas-inp-writer skill that can be applied in all TOPAS application areas. We demonstrate the power and reliability of the approach using examples including: a complex Rietveld refinement with sample- and data-related complications; automatic analysis of multiple data sets; a pipeline from indexing through structure solution to refinement; automatic identification of the phases present in a sample; single crystal and powder diffraction analysis of incommensurate structures; and fitting PDF data. TOPilot can be used directly alongside topas-editor, via a stand-alone topilot-wizard, or via command line interfaces or desktop apps from major AI providers. TOPilot was developed and tested using Claude large language models, but can be configured to use other cloud or local models. topas-editor and TOPilot are freely available.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
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The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
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Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
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The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
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StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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