查看更多>>摘要：NORMAN, OKLA.-For years, scientists have worked diligently to understand tornadoes to better forecast them. The Nati onal Science Foundation has funded a team of OU scientists to take a cutting-edg e approach to understanding the life cycle of tornadoes. Over three years, the t eam, led by Nathan Snook, Ph.D., will use deep learning techniques to better und erstand how tornadoes form. The team will create a library of approximately 200 numerical simulations to tra in a machine-learning model. The simulations use computer models to create a set of grid points containing three-dimensional information on the atmosphere, allo wing meteorologists to predict how storms within this simulated cube of atmosphe re will evolve over time, all to answer why and how tornadoes form.
查看更多>>摘要：A new study on robotics is now availab le. According to news originating from Tehran, Iran, by NewsRx editors, the rese arch stated, "In this study, the performance of suggested scenarios for part inp ut sequences in a 3-machine robotic cell producing different parts is determined through the application of data envelopment analysis (DEA) and the Banker-Charn es-Cooper model." Our news reporters obtained a quote from the research from Islamic Azad Universi ty: "A single gripper robot supports the manufacturing process by loading and un loading products and moving them inside the system. This study addresses random machine failures and repairs to minimize cycle time based on two robot move cycl es in a three-machine robotic cell and overall production costs. Here, simulatio n assists in the modeling of uncertainty and a simulation-based optimization app roach is applied to find the best scenarios for sequencing patterns in the cell through several numerical examples using DEA. The results displayed that, effici ent scenarios satisfying minimum time and cost, are those, in which the percenta ges of operations assigned to the machines are close to each other."
查看更多>>摘要：A new study on Robotics-Robotics and Automation is now available. According to news reporting originating in Freibur g, Germany, by NewsRx journalists, research stated, "To fully leverage the capab ilities of mobile manipulation robots, it is imperative that they are able to au tonomously execute long-horizon tasks in large unexplored environments. While la rge language models (LLMs) have shown emergent reasoning skills on arbitrary tas ks, existing work primarily concentrates on explored environments, typically foc using on either navigation or manipulation tasks in isolation." Funders for this research include Toyota Motor Europe (TME), Nvidia Corporation. The news reporters obtained a quote from the research from the University of Fre iburg, "In this work, we propose MoMa-LLM, a novel approach that grounds languag e models within structured representations derived from open-vocabulary scene gr aphs, dynamically updated as the environment is explored. We tightly interleave these representations with an object-centric action space. Given object detectio ns, the resulting approach is zero-shot, open-vocabulary, and readily extendable to a spectrum of mobile manipulation and household robotic tasks. We demonstrat e the effectiveness of MoMa-LLM in a novel semantic interactive search task in l arge realistic indoor environments."
查看更多>>摘要：Current study results on Artificial In telligence have been published. According to news reporting originating in Liaon ing, People's Republic of China, by NewsRx editors, the research stated, "With t he rapid development of computer technology, intelligent cockpit has increasingl y become a trend in on-board related equipment. The intelligent cockpit system c an not only provide auxiliary support for users in the driving environment, but also greatly improve driving efficiency." The news reporters obtained a quote from the research from the Dalian Neusoft Un iversity of Information, "With the advancement of technology and the improvement of people's material lives, people's demand for driving environment safety and intelligence is gradually increasing. In order to effectively enhance the intera ctivity of the intelligent cockpit and ensure the safety of users' driving, this article effectively analyzed the performance and functional requirements of the intelligent cockpit, and combined speech recognition algorithms to construct an artificial intelligence (AI) speech interaction system. On this basis, this pap er provides an in-depth study of intelligent cockpit design. To verify the effec tiveness of the intelligent cockpit application, it was tested from four aspects : system operation accuracy, command response time, system security, and user ex perience. The test findings showed that at the level of system command response time, the response time of driving assistance commands, entertainment media comm ands, and traffic information commands was basically concentrated below 300 mill iseconds."
查看更多>>摘要：New study results on artificial intell igence have been published. According to news reporting originating from Dublin, Ireland, by NewsRx correspondents, research stated, "Time series classification is a challenging research area where machine learning and deep learning techniq ues have shown remarkable performance. However, often, these are seen as black b oxes due to their minimal interpretability." Our news reporters obtained a quote from the research from Technological Univers ity Dublin: "On the one hand, there is a plethora of eXplainable AI (XAI) method s designed to elucidate the functioning of models trained on image and tabular d ata. On the other hand, adapting these methods to explain deep learning-based ti me series classifiers may not be straightforward due to the temporal nature of t ime series data. This research proposes a novel global post-hoc explainable meth od for unearthing the key time steps behind the inferences made by deep learning -based time series classifiers. This novel approach generates a decision tree gr aph, a specific set of rules, that can be seen as explanations, potentially enha ncing interpretability. The methodology involves two major phases: (1) training and evaluating deeplearning- based time series classification models, and (2) ex tracting parameterized primitive events, such as increasing, decreasing, local m ax and local min, from each instance of the evaluation set and clustering such e vents to extract prototypical ones. These prototypical primitive events are then used as input to a decision-tree classifier trained to fit the model prediction s of the test set rather than the ground truth data."
查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "This paper presents the data -driven analysis on the seismic performance of steel reinforced concrete (SRC) c omposite columns by using machine learning (ML) algorithms. A total of 248 test data of SRC columns subjected to the combined axial compressive force and low re versed cyclic horizontal force was collected from the published literatures to f orm the database." Financial supporters for this research include Open Project of the Key Laborator y of Performance Evolution and Control for Engineering Structures (Tongji Univer sity), Ministry of Education, National Natural Science Foundation of China (NSFC ), Fundamental Research Funds for the Central Universities.
查看更多>>摘要：A new study on Robotics-Robotics and Automation is now available. According to news reporting out of Shanghai, Peopl e's Republic of China, by NewsRx editors, research stated, "Generating trajector ies that ensure both vehicle safety and improve traffic efficiency remains a cha llenging task at intersections. Many existing works utilize Nash equilibrium (NE ) for the trajectory planning at intersections." Funders for this research include National Key Research & Developm ent Program of China, National Natural Science Foundation of China (NSFC), Shang hai Municipal Science and Technology under Major Project.
查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting out of Harbin, People's Republic of China, b y NewsRx editors, research stated, "Design and manufacturing play pivotal roles in hydraulic-driven robotic development. However, previous studies have emphasiz ed mainly results and performance, often overlooking the specifics of the design and manufacturing process." Funders for this research include Heilongjiang Provincial Youth Science and Tech nology Talent Support Project, Self-Planned Task of State Key Laboratory of Robo tics and System from Harbin Institute of Technology (HIT), Open Foundation of th e State Key Laboratory of Fluid Power and Mechatronic Systems.
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Sichuan , People's Republic of China, by NewsRx journalists, research stated, "Cardiac A myloidosis (CA) occurs when misfolded proteins accumulate in the heart muscle, l eading to restrictive cardiomyopathy and possibly escalating to heart failure, i mpaired conduction system function, and sudden cardiac arrest. It is a significa nt clinical challenge due to its high rates of underdiagnosis and misdiagnosis." The news reporters obtained a quote from the research from Sichuan University, " Research indicates that about 35% of individuals with CA have been incorrectly diagnosed with other prevalent cardiovascular diseases. CA is diffe rentiated into various subtypes depending on the protein involved in its pathoge nesis, with Transthyretin Amyloidosis (ATTR) and Light Chain Amyloidosis (AL) be ing the most common. A key diagnostic challenge is the subtle clinical presentat ion of CA, which often resembles other heart conditions such as restrictive card iomyopathy with left ventricular hypertrophy or hypertrophic obstructive cardiom yopathy (HOCM). While several diagnostic methods are available for CA, many are expensive, invasive, and typically used after an initial clinical suspicion. Non -invasive tests like electrocardiography (ECG) are accessible but often have low er sensitivity in detecting CA. Given the limited expertise in recognizing CA sy mptoms in primary care settings, there is an urgent need for systems that can ai d in early detection."
查看更多>>摘要：Investigators publish new report on ar tificial intelligence. According to news reporting out of Technical University M unich (TU Munich) by NewsRx editors, research stated, "With recent advances in m achine learning and big data, it is now possible to create synthetic images that look real." Our news reporters obtained a quote from the research from Technical University Munich (TU Munich): "Face generation is often of particular interest, as faces c an be used for various purposes. However, improper use of such content can lead to the dissemination of false information, such as fake news, and thus pose a th reat to society. This work studies whether people believe the truthfulness of fa ces using eye tracking and self-reports, including free-form textual explanation s when participants encounter real and computer-generated faces."
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