Research involving Oregon State University has shown that a “swarm” of more than 100 autonomous ground and aerial robots can be supervised by one person without subjecting the individual to an undue workload.Research involving Oregon State University has shown that a “swarm” of more than 100 autonomous ground and aerial robots can be supervised by one person without subjecting the individual to an undue workload.[#item_full_content]
A team of roboticists at New York University, working with a colleague from AI at Meta, has developed a robot that is capable of picking up designated objects in an unfamiliar room and placing them in a new designated location. In their paper posted on the arXiv preprint server, the team describes how the robot was programmed and how well it performed when tested in multiple real-word environments.A team of roboticists at New York University, working with a colleague from AI at Meta, has developed a robot that is capable of picking up designated objects in an unfamiliar room and placing them in a new designated location. In their paper posted on the arXiv preprint server, the team describes how the robot was programmed and how well it performed when tested in multiple real-word environments.Robotics[#item_full_content]
A team of roboticists at New York University, working with a colleague from AI at Meta, has developed a robot that is capable of picking up designated objects in an unfamiliar room and placing them in a new designated location. In their paper posted on the arXiv preprint server, the team describes how the robot was programmed and how well it performed when tested in multiple real-word environments.A team of roboticists at New York University, working with a colleague from AI at Meta, has developed a robot that is capable of picking up designated objects in an unfamiliar room and placing them in a new designated location. In their paper posted on the arXiv preprint server, the team describes how the robot was programmed and how well it performed when tested in multiple real-word environments.[#item_full_content]
Traveling time forecasting, the core component in GPS navigation systems and taxi-hailing apps, has attracted widespread attention. Existing research mostly focuses on independent points like traffic flow prediction or route planning, which ignore globality and lack satisfactory dynamic progress to adopt sophisticated traffic conditions.Traveling time forecasting, the core component in GPS navigation systems and taxi-hailing apps, has attracted widespread attention. Existing research mostly focuses on independent points like traffic flow prediction or route planning, which ignore globality and lack satisfactory dynamic progress to adopt sophisticated traffic conditions.[#item_full_content]
Traveling time forecasting, the core component in GPS navigation systems and taxi-hailing apps, has attracted widespread attention. Existing research mostly focuses on independent points like traffic flow prediction or route planning, which ignore globality and lack satisfactory dynamic progress to adopt sophisticated traffic conditions.Traveling time forecasting, the core component in GPS navigation systems and taxi-hailing apps, has attracted widespread attention. Existing research mostly focuses on independent points like traffic flow prediction or route planning, which ignore globality and lack satisfactory dynamic progress to adopt sophisticated traffic conditions.Computer Sciences[#item_full_content]
Face mask wearing detection is an important technical approach to improve public health safety and real-time monitoring efficiency. However, under extreme lighting or weather conditions, it is difficult to achieve ideal results with existing object detection or face detection algorithms.Face mask wearing detection is an important technical approach to improve public health safety and real-time monitoring efficiency. However, under extreme lighting or weather conditions, it is difficult to achieve ideal results with existing object detection or face detection algorithms.[#item_full_content]
Face mask wearing detection is an important technical approach to improve public health safety and real-time monitoring efficiency. However, under extreme lighting or weather conditions, it is difficult to achieve ideal results with existing object detection or face detection algorithms.Face mask wearing detection is an important technical approach to improve public health safety and real-time monitoring efficiency. However, under extreme lighting or weather conditions, it is difficult to achieve ideal results with existing object detection or face detection algorithms.Computer Sciences[#item_full_content]
Representatives of the EU member states voted in favor of a proposal in Brussels on Friday which should soon make artificial intelligence (AI) subject to stricter rules.Representatives of the EU member states voted in favor of a proposal in Brussels on Friday which should soon make artificial intelligence (AI) subject to stricter rules.Machine learning & AI[#item_full_content]
The 2024 White House race faces the prospect of a firehose of AI-enabled disinformation, with a robocall impersonating US President Joe Biden already stoking particular alarm about audio deepfakes.The 2024 White House race faces the prospect of a firehose of AI-enabled disinformation, with a robocall impersonating US President Joe Biden already stoking particular alarm about audio deepfakes.Machine learning & AI[#item_full_content]
An international group of scientists has published a paper in the journal Green Energy and Intelligent Transportation, summarizing a comprehensive review of deep transfer learning for intelligent vehicle perception.An international group of scientists has published a paper in the journal Green Energy and Intelligent Transportation, summarizing a comprehensive review of deep transfer learning for intelligent vehicle perception.Automotive[#item_full_content]
