Johns Hopkins researchers have developed an efficient new method to turn blurry images into clear, sharp ones. Called Progressively Deblurring Radiance Field (PDRF), this approach deblurs images 15 times faster than previous methods while also achieving better results on both synthetic and real scenes.Johns Hopkins researchers have developed an efficient new method to turn blurry images into clear, sharp ones. Called Progressively Deblurring Radiance Field (PDRF), this approach deblurs images 15 times faster than previous methods while also achieving better results on both synthetic and real scenes.Computer Sciences[#item_full_content]
Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.[#item_full_content]
Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.Computer Sciences[#item_full_content]
Researchers led by Prof. Xie Chengjun and Assoc. Prof. Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have introduced an innovative pan-sharpening method to improve remote sensing images.Researchers led by Prof. Xie Chengjun and Assoc. Prof. Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have introduced an innovative pan-sharpening method to improve remote sensing images.[#item_full_content]
Researchers led by Prof. Xie Chengjun and Assoc. Prof. Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have introduced an innovative pan-sharpening method to improve remote sensing images.Researchers led by Prof. Xie Chengjun and Assoc. Prof. Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have introduced an innovative pan-sharpening method to improve remote sensing images.Computer Sciences[#item_full_content]
Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don’t always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don’t always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.Business[#item_full_content]
The wide availability of wearable sensors allows for rich data collection on a person’s walking patterns, providing valuable health insights. But factors like location, terrain or the built environment alter walking behavior, making data difficult to interpret without context.The wide availability of wearable sensors allows for rich data collection on a person’s walking patterns, providing valuable health insights. But factors like location, terrain or the built environment alter walking behavior, making data difficult to interpret without context.Engineering[#item_full_content]
Soft robots use pliant materials such as elastomers to interact safely with the human body and other challenging, delicate objects and environments. A team of Rice University researchers has developed an analytical model that can predict the curing time of platinum-catalyzed silicone elastomers as a function of temperature. The model could help reduce energy waste and improve throughput for elastomer-based component manufacturing.Soft robots use pliant materials such as elastomers to interact safely with the human body and other challenging, delicate objects and environments. A team of Rice University researchers has developed an analytical model that can predict the curing time of platinum-catalyzed silicone elastomers as a function of temperature. The model could help reduce energy waste and improve throughput for elastomer-based component manufacturing.[#item_full_content]
Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI).Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI).Machine learning & AI[#item_full_content]
In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.Robotics[#item_full_content]
