As the high-speed railway network in China extends beyond 40,000 kilometers, maintaining seamless internet connectivity for passengers is becoming increasingly challenging. The demand for consistent and reliable online access is particularly crucial for travelers who spend extended hours on trains, relying on the expectation of undisturbed work, study, or entertainment. Addressing this need, a team of researchers from the School of Computer Science at Peking University has developed “HiMoDiag”—an innovative tool designed to enhance the understanding and management of network performance in extremely high-mobility scenarios.As the high-speed railway network in China extends beyond 40,000 kilometers, maintaining seamless internet connectivity for passengers is becoming increasingly challenging. The demand for consistent and reliable online access is particularly crucial for travelers who spend extended hours on trains, relying on the expectation of undisturbed work, study, or entertainment. Addressing this need, a team of researchers from the School of Computer Science at Peking University has developed “HiMoDiag”—an innovative tool designed to enhance the understanding and management of network performance in extremely high-mobility scenarios.[#item_full_content]

Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)—dubbed “AlexNet” after its creator Alex Krizhevsky—that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)—dubbed “AlexNet” after its creator Alex Krizhevsky—that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.[#item_full_content]

In the real world/digital world cross-over of mixed reality, a user’s immersive engagement with the program is called presence. Now, UMass Amherst researchers are the first to identify reaction time as a potential presence measurement tool. Their findings, published in IEEE Transactions on Visualization and Computer Graphics, have implications for calibrating mixed reality to the user in real time.In the real world/digital world cross-over of mixed reality, a user’s immersive engagement with the program is called presence. Now, UMass Amherst researchers are the first to identify reaction time as a potential presence measurement tool. Their findings, published in IEEE Transactions on Visualization and Computer Graphics, have implications for calibrating mixed reality to the user in real time.[#item_full_content]

In a study published in Scientific Reports, a research team from the University of Passau compared the quality of machine-generated content with essays written by secondary school students. The upshot: The AI-based chatbot performed better across all criteria, especially when it came to language mastery.In a study published in Scientific Reports, a research team from the University of Passau compared the quality of machine-generated content with essays written by secondary school students. The upshot: The AI-based chatbot performed better across all criteria, especially when it came to language mastery.[#item_full_content]

Researchers at Seoul National University have recently tried to train an artificial intelligence (AI) agent to create collages (i.e., artworks created by sticking various pieces of materials together), reproducing renowned artworks and other images. Their proposed model was introduced in a paper pre-printed on arXiv and presented at ICCV 2023 in October.Researchers at Seoul National University have recently tried to train an artificial intelligence (AI) agent to create collages (i.e., artworks created by sticking various pieces of materials together), reproducing renowned artworks and other images. Their proposed model was introduced in a paper pre-printed on arXiv and presented at ICCV 2023 in October.[#item_full_content]

Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.Multi-focus image fusion (MFIF) is an image enhancement technology that helps to solve the depth-of-field problem and capture all-in-focus images. It has broad application prospects that can effectively extend the depth of field of optical lenses.[#item_full_content]

With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.[#item_full_content]

Imagine yourself on a beautiful beach. You’re likely visualizing sand and sea but also hearing a symphony of wind gusting, waves crashing and gulls cawing. In this scene—as well as in urban settings with neighbors talking, dogs barking and traffic whooshing—sounds are critical components of the overall feel of a place.Imagine yourself on a beautiful beach. You’re likely visualizing sand and sea but also hearing a symphony of wind gusting, waves crashing and gulls cawing. In this scene—as well as in urban settings with neighbors talking, dogs barking and traffic whooshing—sounds are critical components of the overall feel of a place.[#item_full_content]

A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by University of Leicester computer scientists.A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by University of Leicester computer scientists.[#item_full_content]

In a paper published in Intelligent Computing, Philip Nicholas Johnson-Laird of Princeton University and Marco Ragni of Chemnitz University of Technology propose a novel alternative to the Turing test, a milestone test developed by computing pioneer Alan Turing. The paper suggests that it is time to shift the focus from whether a machine can mimic human responses to a more fundamental question: “Does a program reason in the way that humans reason?”In a paper published in Intelligent Computing, Philip Nicholas Johnson-Laird of Princeton University and Marco Ragni of Chemnitz University of Technology propose a novel alternative to the Turing test, a milestone test developed by computing pioneer Alan Turing. The paper suggests that it is time to shift the focus from whether a machine can mimic human responses to a more fundamental question: “Does a program reason in the way that humans reason?”[#item_full_content]