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Related papers: Using AI to Design Stone Jewelry

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In mass manufacturing of jewellery, the gross loss is estimated before manufacturing to calculate the wax weight of the pattern that would be investment casted to make multiple identical pieces of jewellery. Machine learning is a technology…

Machine Learning · Computer Science 2023-01-10 Mihir Jain , Kashish Jain , Sandip Mane

Materials are the foundation of modern society, underpinning advancements in energy, electronics, healthcare, transportation, and infrastructure. The ability to discover and design new materials with tailored properties is critical to…

Numerical optimization of complex systems benefits from the technological development of computing platforms in the last twenty years. Unfortunately, this is still not enough, and a large computational time is still necessary when…

Optimization and Control · Mathematics 2022-09-07 Daniele Peri

Fashion is a fast-changing industry where designs are refreshed at large scale every season. Moreover, it faces huge challenge of unsold inventory as not all designs appeal to customers. This puts designers under significant pressure.…

Computer Vision and Pattern Recognition · Computer Science 2020-07-13 Alpana Dubey , Nitish Bhardwaj , Kumar Abhinav , Suma Mani Kuriakose , Sakshi Jain , Veenu Arora

The grading of gemstones is currently a manual procedure performed by gemologists. A popular approach uses reference stones, where those are visually inspected by specialists that decide which one of the available reference stone is the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 FB Pena , D Crabi , Sandro C Izidoro , Érick O Rodrigues , G Bernardes

Materials design is an important component of modern science and technology, yet traditional approaches rely heavily on trial-and-error and can be inefficient. Computational techniques, enhanced by modern artificial intelligence (AI), have…

The traditional design and development of metallic alloys has taken a hill-climbing approach to date, with incremental advances. Throughout the last century, aluminium (Al) alloy design has been essentially empirical and iterative, based on…

Materials Science · Physics 2021-06-02 J. Mangos , N. Birbilis

Artificial intelligence (AI) is rapidly emerging as an enabling tool for solving various complex materials design problems. This paper aims to review recent advances in AI-driven materials-by-design and their applications to energetic…

Materials Science · Physics 2023-05-12 Joseph B. Choi , Phong C. H. Nguyen , Oishik Sen , H. S. Udaykumar , Stephen Baek

AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more agentic roles than traditional computer-aided design tools…

Human-Computer Interaction · Computer Science 2023-03-02 Frederic Gmeiner , Humphrey Yang , Lining Yao , Kenneth Holstein , Nikolas Martelaro

The value of luxury goods, particularly investment-grade gemstones, is greatly influenced by their origin and authenticity, sometimes resulting in differences worth millions of dollars. Traditionally, human experts have determined the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-12 Tommaso Bendinelli , Luca Biggio , Daniel Nyfeler , Abhigyan Ghosh , Peter Tollan , Moritz Alexander Kirschmann , Olga Fink

Crystalline materials, with symmetrical and periodic structures, exhibit a wide spectrum of properties and have been widely used in numerous applications across electronics, energy, and beyond. For crystalline materials discovery,…

Computational Engineering, Finance, and Science · Computer Science 2026-02-11 Zhenzhong Wang , Haowei Hua , Wanyu Lin , Ming Yang , Kay Chen Tan

Designing novel materials that possess desired properties is a central need across many manufacturing industries. Driven by that industrial need, a variety of algorithms and tools have been developed that combine AI (machine learning and…

Computational Engineering, Finance, and Science · Computer Science 2020-01-27 Seiji Takeda , Toshiyuki Hama , Hsiang-Han Hsu , Toshiyuki Yamane , Koji Masuda , Victoria A. Piunova , Dmitry Zubarev , Jed Pitera , Daniel P. Sanders , Daiju Nakano

Designing functional materials requires a deep search through multidimensional spaces for system parameters that yield desirable material properties. For cases where conventional parameter sweeps or trial-and-error sampling are impractical,…

Materials Science · Physics 2022-03-22 Sanket Kadulkar , Zachary M. Sherman , Venkat Ganesan , Thomas M. Truskett

Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic…

Sound · Computer Science 2021-09-08 Carlos Hernandez-Olivan , Jose R. Beltran

In the world where increasingly mobility and long-distance relationships with family, friends and loved-ones became commonplace, there exists a gap in intimate interpersonal communication mediated by technology. Considering the advances in…

Human-Computer Interaction · Computer Science 2015-05-05 Yulia Silina , Hamed Haddadi

High throughput experimentation tools, machine learning (ML) methods, and open material databases are radically changing the way new materials are discovered. From the experimentally driven approach in the past, we are moving quickly…

Materials Science · Physics 2025-08-06 Albertus Denny Handoko , Riko I Made

Algorithms for machine learning-guided design, or design algorithms, use machine learning-based predictions to propose novel objects with desired property values. Given a new design task -- for example, to design novel proteins with high…

Machine Learning · Computer Science 2025-07-04 Clara Fannjiang , Ji Won Park

Numerical simulations have revolutionized the industrial design process by reducing prototyping costs, design iterations, and enabling product engineers to explore the design space more efficiently. However, the growing scale of simulations…

The resale price assessment of secondhand jewelry items relies heavily on the individual knowledge and skill of domain experts. In this paper, we propose a methodology for reconstructing an AI system that autonomously assesses the resale…

Computer Vision and Pattern Recognition · Computer Science 2019-07-02 Yusuke Yamaura , Nobuya Kanemaki , Yukihiro Tsuboshita

As technologies become more and more pervasive, there is a need for considering the affective dimension of interaction with computer systems to make them more human-like. Current demands for this matter include accurate emotion recognition,…

Human-Computer Interaction · Computer Science 2018-06-13 Barbara Giżycka , Grzegorz J. Nalepa , Paweł Jemioło
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