Eight global technology companies including Microsoft and Mastercard on Monday pledged at a forum in Slovenia to build ‘more ethical’ AI in accordance with UNESCO’s framework of principles.Eight global technology companies including Microsoft and Mastercard on Monday pledged at a forum in Slovenia to build ‘more ethical’ AI in accordance with UNESCO’s framework of principles.Machine learning & AI[#item_full_content]
Behrooz Tahmasebi—an MIT Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL)—was taking a mathematics course on differential equations in late 2021 when a glimmer of inspiration struck. In that class, he learned for the first time about Weyl’s law, which had been formulated 110 years earlier by the German mathematician Hermann Weyl.Behrooz Tahmasebi—an MIT Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL)—was taking a mathematics course on differential equations in late 2021 when a glimmer of inspiration struck. In that class, he learned for the first time about Weyl’s law, which had been formulated 110 years earlier by the German mathematician Hermann Weyl.[#item_full_content]
Behrooz Tahmasebi—an MIT Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL)—was taking a mathematics course on differential equations in late 2021 when a glimmer of inspiration struck. In that class, he learned for the first time about Weyl’s law, which had been formulated 110 years earlier by the German mathematician Hermann Weyl.Behrooz Tahmasebi—an MIT Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL)—was taking a mathematics course on differential equations in late 2021 when a glimmer of inspiration struck. In that class, he learned for the first time about Weyl’s law, which had been formulated 110 years earlier by the German mathematician Hermann Weyl.Computer Sciences[#item_full_content]
Shopping for groceries is a common activity for many of us, but for visually impaired people, identifying grocery items can be daunting. A team of researchers from the National University of Singapore’s School of Computing (NUS Computing) have introduced AiSee, an affordable wearable assistive device that helps people with visual impairment “see” objects around them with the help of artificial intelligence (AI).Shopping for groceries is a common activity for many of us, but for visually impaired people, identifying grocery items can be daunting. A team of researchers from the National University of Singapore’s School of Computing (NUS Computing) have introduced AiSee, an affordable wearable assistive device that helps people with visual impairment “see” objects around them with the help of artificial intelligence (AI).Consumer & Gadgets[#item_full_content]
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]
