2 天前 - With the advancement of today’s technologies in artificial intelligence, humans tend
to use hand gestures in their communication to convey their ideas. Gesture recognition is …

2 天前 - … Machine Learning, a form of artificial intelligence, allows MDM systems to be
more predictive, proactive, and automated. ML algorithms can scan large volumes of data to …

2 天前 - … in Artificial Intelligence, leveraging machine learning … significant potential for
automating aspects of web development… the capabilities of Generative Artificial Intelligence (GAI) …

2 天前 - … This whitepaper explores the potential and challenges of applying Artificial Intelligence
(… , predictive maintenance for critical machines, automated evaluation of test processes, …

2 天前 - … Here we present only a study of the feasibility of automated chronotyping from
real-world, multimodal calendar app data. Several limitations of the current approach are …

2 天前 - … chemical space, followed by an entirely automated workflow of first principal
validation. … The recent advancements in Artificial Intelligence-Generated Content (AIGC) have …

2 天前 - … Challenge (iii) was addressed in FD-PComA through automation of the modelling
steps. The results of FD-PComA demonstrate that flow diversion is less effective in FPC …

2 天前 - … framework based on Automated Machine Learning technique (… realize automated
network structure design, which further improves the model training efficiency and automation, …

2 天前 - … Here, we propose a new computational approach called Automated Dynamical
Model Inference based on Expression Trees (ADMIET), in which the machine learning algorithm…

2 天前 - The crowdsourced information is useful to calibrate Advanced Driver Assistance
Systems/Autonomous Driving (ADAS/AD) parameters for automated and autonomous vehicles. …