Machine learning
Research from College of Mechanical and Electronic Engineering in Qingdao, People's Republic of China has proposed a novel adaptive optimal clearance compensation tracking control method for dynamic manipulator systems with joint clearance. The method utilizes an adaptive dynamic programming (ADP) approach and a performance index function to compute
Machine learning
Samsung Electronics Co. Ltd. has recently filed a patent for a wafer type sensor and a wafer alignment method. This patent, filed on December 14, 2022, and published online on August 19, 2025, describes a novel approach to wafer alignment technology. The inventors, Jin Woo Choi, Youn Ho Kim, Byung
Artificial intelligence
Investigating the importance of advanced artificial intelligence (AI) in the aerospace and automotive industries, researchers from the University of Bremen have recently developed a novel AI model for automated damage diagnostics in fiber metal laminates (FML) plates. According to the study, the impact damage is one of the major causes
Artificial intelligence
A team of researchers from the University of Freiburg Medical Center has developed a new deep learning approach for electroencephalogram (EEG) decoding, overcoming the limitations of traditional methods that are often trained to solve only one specific task. The new method, called EEG-CLIP, uses a contrastive learning framework to align
Artificial intelligence
Research on artificial intelligence in Paris, France has led to a breakthrough in understanding Arabic syntactic analysis, a crucial aspect of Natural Language Processing (NLP). The study, conducted by the University of Paris, highlights the development of Arabic syntactic analyzers and the challenges they pose due to the language'
Artificial intelligence
Artificial personality (AP) is an emerging concept in artificial intelligence, aiming to develop AI agents that behave more like humans. Researchers at Blekinge Institute of Technology in Karlskrona, Sweden, have proposed a novel approach to extract human decision-making characteristics as a generative resource for encoding the variability in agent personality.
Artificial intelligence
Circus SE, a global leader in AI software and robotics, has secured a EUR 2 million research and development grant from the German Federal Ministry of Education and Research (BMBF) to develop the CA-M AI-Robot, a fully autonomous nutrition system designed for defense environments. This recurring annual funding will accelerate
Artificial intelligence
Students in government schools will learn the basics of coding, robotics, and artificial intelligence (AI) from this academic year as part of the new curriculum. The program aims to introduce primary school students to coding and robotics, while AI will help them understand tough concepts by simplifying them. The state
Artificial intelligence
Apera AI, the leader in 4D Vision for industrial robotic automation, has been recognized for its groundbreaking advancements in 4D vision-guided robotics and its impact on manufacturing automation productivity, reliability, and safety worldwide. The company's 4D Vision technology, which combines high-quality 3D stereo vision with AI, enables industrial
Machine learning
A breakthrough in artificial intelligence has been achieved by Anhui University researchers, who have successfully developed a text2SQL conversion system that enables data-driven decision making in modern enterprises. The system, based on the RETRIEVAL-AUGMENTED GENERATION (RAG) framework, combines the advantages of retrieval and generation to improve the accuracy and relevance
Machine learning
Researchers at Hengshui University have made significant findings in the field of artificial intelligence, proposing a deep learning-based algorithm to improve creative efficiency and precision in image processing for visual communication design. The algorithm, designed to optimize image processing workflows, has demonstrated excellent scalability, robust support for personalized design, and
Machine learning
Research conducted by the Huazhong University of Science and Technology has led to the development of a new method for addressing the issue of LiDAR scan distortions caused by high-speed ground robots moving on unstructured terrains. The study, published in IEEE Robotics and Automation Letters, introduces post-undistortion uncertainty to improve
