Researchers at the University of Chicago and the Illinois Institute of Technology recently developed Granulobot, a new modular robotic system that can change its physical shape to best navigate different environments.Researchers at the University of Chicago and the Illinois Institute of Technology recently developed Granulobot, a new modular robotic system that can change its physical shape to best navigate different environments.[#item_full_content]
Nvidia on Monday unveiled its latest family of chips for powering artificial intelligence, as it seeks to consolidate its position as the major supplier to the AI frenzy.Nvidia on Monday unveiled its latest family of chips for powering artificial intelligence, as it seeks to consolidate its position as the major supplier to the AI frenzy.Hardware[#item_full_content]
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.[#item_full_content]
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]
