Researchers at University of Michigan recently developed SKOOTR, a tri-pedal skating robot that can efficiently move around in its surroundings without repeatedly flipping over. This robot, introduced in a paper posted to the preprint server arXiv, was found to be more stable than other three-legged robots, which often exhibit poor stability due to the lack of a fourth leg to better balance their body.Researchers at University of Michigan recently developed SKOOTR, a tri-pedal skating robot that can efficiently move around in its surroundings without repeatedly flipping over. This robot, introduced in a paper posted to the preprint server arXiv, was found to be more stable than other three-legged robots, which often exhibit poor stability due to the lack of a fourth leg to better balance their body.[#item_full_content]
In a new study published in the Journal of Remote Sensing in February 2024, researchers utilized data augmentation alongside the LightGBM machine learning model for the estimation of both diffuse and direct solar radiation. By leveraging sunshine duration data collected from over 2,453 weather stations throughout China, this research overcomes the limitations posed by sparse and unevenly distributed ground-based observations.In a new study published in the Journal of Remote Sensing in February 2024, researchers utilized data augmentation alongside the LightGBM machine learning model for the estimation of both diffuse and direct solar radiation. By leveraging sunshine duration data collected from over 2,453 weather stations throughout China, this research overcomes the limitations posed by sparse and unevenly distributed ground-based observations.Energy & Green Tech[#item_full_content]
G7 technology ministers meeting in Italy pledged Friday to “achieve a common vision and goal of safe, secure, and trustworthy” artificial intelligence, but said the framework could vary between countries.G7 technology ministers meeting in Italy pledged Friday to “achieve a common vision and goal of safe, secure, and trustworthy” artificial intelligence, but said the framework could vary between countries.Machine learning & AI[#item_full_content]
Auke Ijspeert and his team in the BioRobotics Lab (BioRob) in EPFL’s School of Engineering had operated their bio-informed robots in natural environments before, but this was more for demonstration purposes than for scientific rigor. Tests of robotic function were usually carried out in the lab, for example, using X-ray videos to compare robotic movements with the animals that inspired their design.Auke Ijspeert and his team in the BioRobotics Lab (BioRob) in EPFL’s School of Engineering had operated their bio-informed robots in natural environments before, but this was more for demonstration purposes than for scientific rigor. Tests of robotic function were usually carried out in the lab, for example, using X-ray videos to compare robotic movements with the animals that inspired their design.[#item_full_content]
Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.Robotics[#item_full_content]
Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.[#item_full_content]
Artificial intelligence aficionados are betting that the technology will help solve humanity’s biggest problems, from wars to global warming, but in practice, these may be unrealistic ambitions for now.Artificial intelligence aficionados are betting that the technology will help solve humanity’s biggest problems, from wars to global warming, but in practice, these may be unrealistic ambitions for now.Machine learning & AI[#item_full_content]
With misinformation and disinformation proliferating online, many may wish for a simple, reliable, automated “fake news” detection system to easily identify falsehoods from truths. Often with the help of machine learning, many scientists have developed such tools, but experts advise caution when deploying them.With misinformation and disinformation proliferating online, many may wish for a simple, reliable, automated “fake news” detection system to easily identify falsehoods from truths. Often with the help of machine learning, many scientists have developed such tools, but experts advise caution when deploying them.Machine learning & AI[#item_full_content]
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.[#item_full_content]
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.Computer Sciences[#item_full_content]
