查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Topological maps are favo rable for their small storage compared to geometric maps. However, they are limi ted in relocalization and path planning capabilities.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from Shanghai Jiao Tong Univ ersity, “To solve the problem, a feature-based hybrid topological map (FHT-Map) is proposed along with a real-time map construction algorithm based on robot exp loration. Specifically, the FHT-Map utilizes both RGB cameras and LiDAR informat ion and consists of two types of nodes: main node and support node. Main nodes s tore visual information compressed by convolutional neural network and local las er scan data to enhance subsequent relocalization capability. Support nodes reta in a minimal amount of data to ensure storage efficiency while facilitating path planning. After map construction through robot exploration, the FHT-Map can be used by other robots for relocalization and path planning. Simulation results de monstrate that the proposed FHT-Map can effectively improve relocalization and p ath planning capability compared with other topological maps.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Albuquerque, New Mexico, by NewsRx j ournalists, research stated, “Artificial intelligence (AI) and machine learning (ML) are near-ubiquitous in day-to-day life; from cars with automated driver-ass istance, recommender systems, generative content platforms, and large language c hatbots. Implementing AI as a tool for international safeguards could significan tly decrease the burden on safeguards inspectors and nuclear facility operators. ” Financial supporters for this research include U.S. National Nuclear Security Ad ministration (NNSA) Office of Defense Nuclear Nonproliferation R&D Safeguards portfol, Honeywell International Inc., DOE Public Access Plan.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Gainesville, Florida, by NewsR x editors, research stated, “Human intention prediction plays a critical role in human-robot collaboration, as it helps robots improve efficiency and safety by accurately anticipating human intentions and proactively assisting with tasks. W hile current applications often focus on predicting intent once human action is completed, recognizing human intent in advance has received less attention.” Financial supporters for this research include NSF - Directorate for Engineering (ENG), National Science Foundation (NSF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting originating in Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “Ca ncer-associated fibroblasts (CAFs) are found in primary and advanced tumours. Th ey are primarily involved in tumour progression through complex mechanisms with other types of cells in the tumour microenvironment.” The news reporters obtained a quote from the research from the Second Hospital o f Tianjin Medical University, “However, essential fibroblasts-related genes (FRG ) in bladder cancer still need to be explored, and there is a shortage of an ide al predictive model or molecular subtype for the progression and immune therapeu tic assessment for bladder cancer, especially muscular-invasive bladder cancer b ased on the FRG. CAF-related genes of bladder cancer were identified by analyzin g single-cell RNA sequence datasets, and bulk transcriptome datasets and gene si gnatures were used to characterize them. Then, ten types of machine learning alg orithms were utilized to determine the hallmark FRG and construct the FRG index (FRGI) and subtypes. Further molecular subtypes combined with CD8+ T-cells were established to predict the prognosis and immune therapy response. 54 BLCA-relate d FRG were screened by large-scale scRNAsequence datasets. The machine learning algorithm established a 3-genes FRG index (FRGI). High FRGI represented a worse outcome. Then, FRGI combined clinical variables to construct a nomogram, which shows high predictive performance for the prognosis of bladder cancer. Furthermo re, the BLCA datasets were separated into two subtypes - fibroblast hot and cold types. In five independent BLCA cohorts, the fibroblast hot type showed worse o utcomes than the cold type. Multiple cancer-related hallmark pathways are distin ctively enriched in these two types. In addition, high FRGI or fibroblast hot ty pe shows a worse immune therapeutic response. Then, four subtypes called CD8-FRG subtypes were established under the combination of FRG signature and activity o f CD8+ T-cells, which turned out to be effective in predicting the prognosis and immune therapeutic response of bladder cancer in multiple independent datasets. Pathway enrichment analysis, multiple gene signatures, and epigenetic alteratio n characterize the CD8-FRG subtypes and provide a potential combination strategy method against bladder cancer.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on an droids. According to news originating from Seoul, South Korea, by NewsRx editors , the research stated, “Robot suits can amplify human power, mobility, and heigh t.” The news editors obtained a quote from the research from Kwangwoon University: “ A giant humanoid mobility robot-Method II was designed using the concept of batt le robot suit, AMP in the movie Avatar. The operator aboard II is a giant robot that can expand its movement to five times the human muscle strength and 2.5 tim es the height. The robot suit-type controller can move in synchronization with t he movement of both arms and control fingers to collaborate with various tasks.” According to the news editors, the research concluded: “However, there are criti cal challenges, such as battery weight and duration inefficiency, control comple xity, network stability, and difficulties in failure or repair work. This study develops and operates the world’s largest humanoid mobility robot without suppor t fixture up to now, and presents its five future research challenges.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Tianjin, People’s Re public of China, by NewsRx journalists, research stated, “We develop a continuou s -time stochastic differential game model that aims to capture market demand an d stochastic cross -network effects, and we seek to find equilibrium order alloc ation strategies between the firm and the platform. By solving the Hamilton-Jaco bi-Bellman (HJB) partial differential equation system, we obtain the feedback eq uilibrium.” Funders for this research include National Natural Science Foundation of China ( NSFC), Ministry of Education, China, Innovation Team Project for Ordinary Univer sity in Guangdong Province, China, Excellent Young Teacher Supporting Program of Tianjin University of Finance and Economics, China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Funchal, Portugal, by NewsRx editors, research stated, “Affective computing has been widely used to de tect and recognize emotional states. The main goal of this study was to detect e motional states using machine learning algorithms automatically.” Financial support for this research came from Fundacao para a Ciencia e a Tecnol ogia (FCT). Our news journalists obtained a quote from the research from the University of M adeira, “The experimental procedure involved eliciting emotional states using fi lm clips in an immersive and non-immersive virtual reality setup. The participan ts’ physiological signals were recorded and analyzed to train machine learning m odels to recognize users’ emotional states. Furthermore, two subjective ratings emotional scales were provided to rate each emotional film clip. Results showed no significant differences between presenting the stimuli in the two degrees of immersion. Regarding emotion classification, it emerged that for both physiologi cal signals and subjective ratings, user-dependent models have a better performa nce when compared to user-independent models. We obtained an average accuracy of 69.29 +/- 11.41% and 71.00 +/- 7.95% for the subjec tive ratings and physiological signals, respectively. On the other hand, using u ser-independent models, the accuracy we obtained was 54.0 +/- 17.2% and 24.9 +/- 4.0%, respectively. We interpreted these data as the r esult of high inter-subject variability among participants, suggesting the need for user-dependent classification models. In future works, we intend to develop new classification algorithms and transfer them to real-time implementation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Angers, France, by NewsRx journali sts, research stated, “The paper describes Romulux, a mobile robot equipped with 3D LiDAR carrying an illuminance meter and dedicated to measure indoor lighting quantity. The aim is to check compliance with lighting standards in terms of le vel and uniformity.” Financial support for this research came from Angers Technopole via a MPIA proje ct (Maturation de Projets Innovants en Anjou). The news reporters obtained a quote from the research from the University of Ang ers, “The general architecture of the robot using the Robot Operating System (RO S) is presented, and technical choices are explained according to the different constraints. The space localization of illuminance data is computed with Synchro nous Localization And Mapping (SLAM) algorithms. Then measurements are compared to standards requirements and interpolated into a user-defined grid to generate a dense illuminance map. Two experiments, one in a sport hall and one in an ice rink, are presented and results are exposed.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from the Univers idad Autonoma de Queretaro by NewsRx correspondents, research stated, “The advan cement of Artificial Intelligence (AI) poses challenges in the field of bioethic s, especially concerning issues related to life and death. AI has permeated area s such as health and research, generating ethical dilemmas and questions about p rivacy, decision-making, and access to technology. Life and death have been recu rring human concerns, particularly in connection with depression.” Our news correspondents obtained a quote from the research from Universidad Auto noma de Queretaro: “AI has created systems like Thanabots or Deadbots, which dig itally recreate deceased individuals and allow interactions with them. These sys tems rely on information generated by AI users during their lifetime, raising et hical and emotional questions about the authenticity and purpose of these recrea tions. AI acts as a mediator between life, death, and the human being, enabling a new form of communication with the deceased. However, this raises ethical issu es such as informed consent from users and the limits of digital recreation. Com panies offer services like the Digital Resurrection of deceased individuals and the generation of hyper-realistic avatars. Still, concerns arise about the authe nticity of these representations and their long-term emotional impact. Interacti on with Thanabots may alter perceptions of death and finitude, leading to a pote ntial “postmortal society” where death is no longer viewed as a definitive end. Nevertheless, this raises questions about the value of life and the authenticity of human experiences. AI becomes a bridge between the living and the dead, part ially replacing rituals and mystical beliefs. As technology advances, there will be a need for greater transparency in interacting with AI systems and ethical r eflections on the role of these technologies in shaping perceptions of life and death. Ultimately, the question arises of whether we should allow the dead to re st in peace and how to balance the pursuit of emotional relief with authenticity and respect for the memory of the deceased. A deeper ethical consideration is n eeded on how AI alters traditional notions of life, death, and communication in contemporary society.”
查看更多>>摘要：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 from the Uttar Banga Krishi Viswavidyalaya by NewsRx journalists, research stated, “Late blight is one of th e most devastating diseases on potato the world over, including West Bengal, Ind ia.” The news journalists obtained a quote from the research from Uttar Banga Krishi Viswavidyalaya: “The economic and yield losses from outbreaks of potato late bli ght can be huge. In this article, application of statistical models such as auto regressive integrated moving average (ARIMA), autoregressive integrated moving a verage with exogenous variables (ARIMAX) in combination with machine learning mo dels such as, neural network auto regression (NNAR), support vector regression ( SVR) and classification and regression tree (CART) have been explored to predict the percentage disease index (PDI) of potato late blight in the northern part o f West Bengal. Models were developed to predict PDI at 3- and 7-days interval us ing the weather variables viz., rainfall, maximum and minimum temperature, maxim um and minimum relative humidity, and dew point temperature. Among the developed models, CART to predict PDI at 7 days interval was found to be the best fitted model on the basis of least RMSE, MAE and MAPE.”
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