Machine learning
Researchers at Hong Kong Polytechnic University have made a breakthrough in using artificial intelligence to improve the precision glass thermoforming process. By developing a surrogate model based on a dimensionless back-propagation neural network (BPNN), they have been able to accurately predict forming errors and compensate for them in mold design.
Machine learning
Researchers at the Chengdu University of Technology have made significant strides in developing an artificial intelligence (AI) model that can accurately distinguish between hemiplegic gait and healthy gait. The study, published in the journal Computers, used a pressure sensor array to collect data from 19 hemiplegic patients and 29 healthy
Machine learning
A new study from Northern Technical University has successfully developed a Letter Recognition System (LRS) for individuals with visual impairments, using a Deep Convolutional Neural Network (DCNN) to recognize printed letters with a remarkably high accuracy of 99.70%. This innovative technology has the potential to revolutionize the way blind
Machine learning
A new study published in the journal Intelligent Systems with Applications has revealed the development of a dexterous soft-robotics based assistive glove with spatial kinematic model and control system. The research was conducted by a team of engineers at Meiji University, led by Nawara Mahmood Broti, and aimed to create
Machine learning
Recent research at Dalian University of Technology in Liaoning, People's Republic of China, has made significant strides in the field of artificial intelligence, particularly in the area of machine learning. The study, published in the Journal of Engineering, has introduced a new framework for counterfactual explanation in machine
Machine learning
A patent for a multi-source illumination unit has been published online, revealing a groundbreaking design that utilizes two electromagnetic wave sources to illuminate a sample in distinct regions. The inventors, Kang, Zhiwen, Wang, Yixiang, and Zhang, Jian, have developed a system that leverages a reflector to collimate the second electromagnetic
Machine learning
Researchers at UC Berkeley have developed an AI-powered training method that enables robots to master complicated tasks like Jenga whipping with a 100% success rate. The system, called Human-in-the-Loop Sample Efficient Robotic Reinforcement Learning (HiL-SERL), teaches robots how to perform tasks by studying demonstrations and learning from both human feedback
Machine learning
Boston College will introduce a five-year doctoral program in computer science this fall, focusing on the intersection of technology and ethics. The program aims to equip students with the skills to navigate the societal implications of AI and machine learning while contributing to social good. With a unique emphasis on
Machine learning
Research conducted at the Graz University of Technology in Austria has led to the development of a novel approach to energy system optimization models. The increasing share of intermittent renewable energy sources and sector coupling technologies requires accurately capturing both short- and long-term temporal dynamics in optimization models. Financial support
Machine learning
Researchers from Karabuk University have developed a machine learning model that can accurately determine sex from computed tomography (CT) images of the skull. The study analyzed CT images of 200 individuals, aged 19-65 years, and used various machine learning algorithms to estimate sex based on morphometric measurements from the facial
Machine learning
Researchers from Imam Mohammad Ibn Saud Islamic University have made significant contributions to sustainable land management by developing a novel integration of the Ninja Optimization Algorithm (NiOA) for simultaneous feature selection and hyperparameter optimization. This innovative approach enables accurate prediction of soil organic carbon (SOC) levels, which play a crucial
Machine learning
Russian-born billionaire Alex Gerko is seeking students for research internships at his London-based fintech firm, XTX Markets, offering £26,000 a month. The internships, available to students with ongoing PhDs in quantitative fields, require solid programming skills and a proven publication record in machine learning. XTX Markets, one of the
