The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions—from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one. But understanding and reproducing softness perception is challenging because it involves so many sensory and cognitive processes.The perception of softness can be taken for granted, but it plays a crucial role in many actions and interactions—from judging the ripeness of an avocado to conducting a medical exam, or holding the hand of a loved one. But understanding and reproducing softness perception is challenging because it involves so many sensory and cognitive processes.[#item_full_content]
In many cities worldwide, the notion of walking as sustainable urban mobility is becoming increasingly popular. Improving the walkability of cities has many benefits, including improved health, reduced traffic, and consequently lower air pollution. To improve walkability, it is important to conduct a thorough analysis of what factors make cities more walkable.In many cities worldwide, the notion of walking as sustainable urban mobility is becoming increasingly popular. Improving the walkability of cities has many benefits, including improved health, reduced traffic, and consequently lower air pollution. To improve walkability, it is important to conduct a thorough analysis of what factors make cities more walkable.[#item_full_content]
The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.[#item_full_content]
The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.The intensity image is consistent with human vision, but sometimes, the target cannot be completely distinguished from the background. Polarization images can distinguish the target more effectively and highlight the contour and texture details, although it does not conform to human visual perception.Computer Sciences[#item_full_content]
A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.[#item_full_content]
A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.A research team at Microsoft has designed an efficiency tool called TaskMatrix.AI that can be used to accomplish a wide variety of specific AI tasks. TaskMatrix.AI connects general-purpose foundation models like GPT-4, the model behind ChatGPT, with specialized models suitable for certain tasks—much like a human project manager. This research was published in Intelligent Computing.Computer Sciences[#item_full_content]
Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports. The research paper, “Player tracking and identification in ice hockey,” was published in the journal Expert Systems With Applications.Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports. The research paper, “Player tracking and identification in ice hockey,” was published in the journal Expert Systems With Applications.Business[#item_full_content]
Nude photos of pop superstar Taylor Swift recently flooded social media X, where they were viewed and shared by millions of users. But the images weren’t real—they were deepfakes created using artificial intelligence (AI). The incident fanned the debate about regulating deepfakes, and drew so much attention that the White House got involved.Nude photos of pop superstar Taylor Swift recently flooded social media X, where they were viewed and shared by millions of users. But the images weren’t real—they were deepfakes created using artificial intelligence (AI). The incident fanned the debate about regulating deepfakes, and drew so much attention that the White House got involved.Business[#item_full_content]
Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.Robotics[#item_full_content]
Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed on these tasks. While techniques to enable imitation learning considerably improved over the past few years, their performance is often hampered by the lack of correspondence between a robot’s body and that of its human user.[#item_full_content]
