首页|Study Findings from University of Malaysia Pahang Broaden Understanding of Artif icial Intelligence (Advances In Materials Informatics:a Review)

Study Findings from University of Malaysia Pahang Broaden Understanding of Artif icial Intelligence (Advances In Materials Informatics:a Review)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented.According to news reporting originating from Kuantan,Ma laysia,by NewsRx correspondents,research stated,"Materials informatics (MI) i s aimed to accelerate the materials discovery using computational intelligence a nd data science.Progress of MI depends on the strength of database and artifici al intelligence protocols comprising machine learning (ML) and deep learning (DL ) frameworks." Financial supporters for this research include Universiti Malaysia Pahang,Resea rch and Innovation Department of Universiti Malaysia Pahang through the First-in -the-world grant.Our news editors obtained a quote from the research from the University of Malay sia Pahang,"Conventional ML models are simple and interpretable,relying on sta tistical techniques and algorithms to learn patterns and make predictions with l imited data.Conversely,DL,an advancement of ML,employs mathematical neural n etworks to automatically extract features and handle intricate data at the cost of data size and computational complexity.This work aims to provide a state-of- the-art understanding of the tools,data sources and techniques used in MI and t heir benefits and challenges.We evaluate the growth of MI through its subfields and track the main path of its advancement for artificial intelligence-driven m aterials discovery.The advancements in computational intelligence via machine l earning and deep learning algorithms in different fields of materials science ar e discussed.As a specific example,understanding of materials properties using microstructural images is reviewed."

KuantanMalaysiaAsiaArtificial Inte lligenceComputational IntelligenceCyborgsEmerging TechnologiesMachine Le arningUniversity of Malaysia Pahang

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.12)