Crowdsourcing provides an effective and low-cost way to collect labels from crowd workers. Due to the lack of professional knowledge, the quality of crowdsourced labels is relatively low. A common approach to addressing this issue is to collect multiple labels for each instance from different crowd workers and then a label integration method is used to infer its true label. However, almost all existing label integration methods merely make use of the original attribute information and do not pay attention to the quality of the multiple noisy label set of each instance.Crowdsourcing provides an effective and low-cost way to collect labels from crowd workers. Due to the lack of professional knowledge, the quality of crowdsourced labels is relatively low. A common approach to addressing this issue is to collect multiple labels for each instance from different crowd workers and then a label integration method is used to infer its true label. However, almost all existing label integration methods merely make use of the original attribute information and do not pay attention to the quality of the multiple noisy label set of each instance.[#item_full_content]

To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain.To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain.[#item_full_content]

Social media platforms have been implicated in conflicts of all scales, from urban gun violence to the storming of the US Capitol building on January 6 and civil war in South Sudan. Scientifically, it is difficult to tell how much social media can be blamed for one-off incidents.Social media platforms have been implicated in conflicts of all scales, from urban gun violence to the storming of the US Capitol building on January 6 and civil war in South Sudan. Scientifically, it is difficult to tell how much social media can be blamed for one-off incidents.[#item_full_content]

Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative artificial intelligence.[#item_full_content]

A first ever study of wartime deepfake videos reveals their impact on news media and outlines implications for social media companies, media organizations and governments.A first ever study of wartime deepfake videos reveals their impact on news media and outlines implications for social media companies, media organizations and governments.[#item_full_content]

In a recent commentary article published in Nature, Chander Velu, Professor of Innovation and Economics at the Institute for Manufacturing (IfM) and Fathiro H. R. Putra, Lecturer in Industrial Engineering and Engineering Management at the Bandung Institute of Technology, explore the potential impact of quantum computing on growth and productivity.In a recent commentary article published in Nature, Chander Velu, Professor of Innovation and Economics at the Institute for Manufacturing (IfM) and Fathiro H. R. Putra, Lecturer in Industrial Engineering and Engineering Management at the Bandung Institute of Technology, explore the potential impact of quantum computing on growth and productivity.[#item_full_content]

A research team led by Brock University has developed a way to help programmers evaluate the robustness of debiasing methods on language models such as ChatGPT, which help to distinguish between appropriate and inappropriate speech as artificial intelligence (AI) generates text.A research team led by Brock University has developed a way to help programmers evaluate the robustness of debiasing methods on language models such as ChatGPT, which help to distinguish between appropriate and inappropriate speech as artificial intelligence (AI) generates text.[#item_full_content]

EPFL researchers have developed a new distributed algorithm that, for the first time, solves one of the key performance and reliability problems affecting most of the currently-deployed consensus protocols. The work has been published in Proceedings of the 29th Symposium on Operating Systems Principles.EPFL researchers have developed a new distributed algorithm that, for the first time, solves one of the key performance and reliability problems affecting most of the currently-deployed consensus protocols. The work has been published in Proceedings of the 29th Symposium on Operating Systems Principles.[#item_full_content]

A team from the University of Cordoba has designed a model that predicts the performance of online education students, dividing them into four categories and helping professors give more personalized assistance to each student, tailored to their situationsA team from the University of Cordoba has designed a model that predicts the performance of online education students, dividing them into four categories and helping professors give more personalized assistance to each student, tailored to their situations[#item_full_content]

Sebastian Hönel from Linnaeus University has, in his computer science dissertation, introduced a new method to measure and enhance the quality of software processes. The method focuses on understanding how software is developed and the changes that occur over time. By utilizing digital data from the development process combined with expert- and data-driven analysis, one can predict issues and decide on potential improvements.Sebastian Hönel from Linnaeus University has, in his computer science dissertation, introduced a new method to measure and enhance the quality of software processes. The method focuses on understanding how software is developed and the changes that occur over time. By utilizing digital data from the development process combined with expert- and data-driven analysis, one can predict issues and decide on potential improvements.[#item_full_content]