Artificial intelligence
Sociotechnical transparency is a concept that seeks to explain how social media algorithms interact with users and the environment, aiming to improve understanding of social media algorithms for policy-makers and the public. Researchers at Imperial College London have introduced a framework for sociotechnical transparency, utilizing agent-based modeling to provide insights
Artificial intelligence
A new interdisciplinary study from the University of Washington sheds light on the critical challenges posed by generative AI systems to fundamental human values. Researchers have identified significant shortcomings and ambiguities within existing legal protections, particularly in addressing the complex societal impacts of AI. To address these unique risks, the
Machine learning
Researchers from Southern Illinois University have made significant improvements in mapping hydrographic features such as river boundaries, streamlines, and waterbodies using high-resolution digital elevation models (HRDEMs) from LiDAR and InSAR technologies. According to the study, drainage crossings, which facilitate the passage of drainage flows beneath roads, are often not represented
Machine learning
A recently published patent describes a robot system and method for predicting the life of a regenerative resistor, a crucial component in robotic systems. The invention, filed by Jun Kanzaki and colleagues on July 28, 2021, was published online on May 6, 2025. The patent aims to solve the problem
Machine learning
Recent research at Techno India University in Kolkata, West Bengal, India, has proposed a novel approach to extractive summarization of Indian legal judgments. The study, published in the journal Artificial Intelligence and Law, presents an unsupervised method called Unsupervised Role-Labelled Knapsack Summarizer (URL KnapSum) that eliminates the need for expert
Machine learning
Researchers from the University of Lausanne have published a new report on the evidential foundations of probabilistic reasoning, extending studies using the notion of weight of evidence to measure evidential phenomena in complex reasoning patterns. The paper presents methods to measure inferential interactions and dissonances among items of evidence, enabling
Artificial intelligence
Primech AI, a subsidiary of Primech Holdings Limited, has successfully deployed its state-of-the-art autonomous bathroom cleaning robot, HYTRON, at one of Singapore's premier lifestyle and shopping destinations. This deployment represents a significant milestone in the Company's mission to revolutionize facility services through advanced robotics and AI-driven
Artificial intelligence
Ahead of the iPhone 17 launch, Apple supplier Foxconn's chairman, Young Liu, cautioned that advancements in generative AI and robotics could soon eliminate the need for low-cost human workers on production lines. Speaking at Computex in Taipei, Liu emphasized that the impact of this shift would extend far
Artificial intelligence
Micropolis Holding Co. has initiated the testing phase of its collaboration with SEE Holding Ltd at The Sustainable City 2.0 to deploy advanced robotics platforms, AI-powered surveillance systems, and smart mobility applications. This strategic collaboration is the latest step in the partnership between the two companies, following the Memorandum
Machine learning
Researchers at the University of Bristol have developed a soft transduction mechanism called Coil-Tac, which utilizes a liquid metal core and a conductive helical coil to measure changes in capacitance. The mechanism is capable of oscillatory tactile sensing and touch location estimation when coupled with a soft interface. According to
Machine learning
A team of researchers at the University of Bonn has made a breakthrough in robotic perception, developing a novel method for semantic occupancy prediction using only vision data. This approach, called Sfmocc, does not require manual or LiDAR-based labels, achieving state-of-the-art results for 3D occupancy prediction among methods trained without
Machine learning
A new report from Cedars Sinai Medical Center discusses the use of deep learning models to improve the accuracy of myocardial perfusion imaging for detecting obstructive coronary artery disease. Researchers aimed to develop an artificial intelligence (AI) approach that could be integrated into clinical practice to enhance diagnostic performance. The
