An international research team has designed a deep learning system able to detect natural disasters using images posted on social media. The researchers applied computer vision tools that, once trained using 1.7 million photographs, proved capable of analyzing, filtering and detecting real disasters. The paper is published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence.An international research team has designed a deep learning system able to detect natural disasters using images posted on social media. The researchers applied computer vision tools that, once trained using 1.7 million photographs, proved capable of analyzing, filtering and detecting real disasters. The paper is published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence.[#item_full_content]
An international research team has designed a deep learning system able to detect natural disasters using images posted on social media. The researchers applied computer vision tools that, once trained using 1.7 million photographs, proved capable of analyzing, filtering and detecting real disasters. The paper is published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence.An international research team has designed a deep learning system able to detect natural disasters using images posted on social media. The researchers applied computer vision tools that, once trained using 1.7 million photographs, proved capable of analyzing, filtering and detecting real disasters. The paper is published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence.Computer Sciences[#item_full_content]
A savvy hacker can obtain secret information, such as a password, by observing a computer program’s behavior, like how much time that program spends accessing the computer’s memory.A savvy hacker can obtain secret information, such as a password, by observing a computer program’s behavior, like how much time that program spends accessing the computer’s memory.[#item_full_content]
Researchers at NYU Tandon School of Engineering’s C2SMART Center have developed an algorithm to plan the most efficient routes for modular vehicle (MV) fleets—specially-designed vehicles that attach and detach from one another as they move people around cities—removing a significant obstacle to making this type of transportation system a reality.Researchers at NYU Tandon School of Engineering’s C2SMART Center have developed an algorithm to plan the most efficient routes for modular vehicle (MV) fleets—specially-designed vehicles that attach and detach from one another as they move people around cities—removing a significant obstacle to making this type of transportation system a reality.[#item_full_content]
Most robotic grippers are made using either soft plastics—to pick up objects without damaging them—that melt at high temperatures, or metals which are stiff and costly. A team of researchers from the National University of Singapore (NUS), together with their collaborators from the Northeast Forest University, have created a wooden robotic gripper that could be used in a very hot environment and yet maintain a tender touch.Most robotic grippers are made using either soft plastics—to pick up objects without damaging them—that melt at high temperatures, or metals which are stiff and costly. A team of researchers from the National University of Singapore (NUS), together with their collaborators from the Northeast Forest University, have created a wooden robotic gripper that could be used in a very hot environment and yet maintain a tender touch.[#item_full_content]
Rapid progress in artificial intelligence (AI) has spurred some leading voices in the field to call for a research pause, raise the possibility of AI-driven human extinction, and even ask for government regulation. At the heart of their concern is the idea AI might become so powerful we lose control of it.Rapid progress in artificial intelligence (AI) has spurred some leading voices in the field to call for a research pause, raise the possibility of AI-driven human extinction, and even ask for government regulation. At the heart of their concern is the idea AI might become so powerful we lose control of it.Robotics[#item_full_content]
Months after the spectacular launch of ChatGPT, the AI revolution is well underway but hints of caution are emerging, especially over letting one or two companies reign supreme.Months after the spectacular launch of ChatGPT, the AI revolution is well underway but hints of caution are emerging, especially over letting one or two companies reign supreme.Machine learning & AI[#item_full_content]
Software systems are all around us—from the operating systems of our computers to search engines to automation used in industrial applications. At the center of all of this is data, which is used in machine learning (ML) components that are available in a wide variety of applications, including self-driving cars and large language models (LLM). Because many systems rely on ML components, it is important to guarantee their security and reliability.Software systems are all around us—from the operating systems of our computers to search engines to automation used in industrial applications. At the center of all of this is data, which is used in machine learning (ML) components that are available in a wide variety of applications, including self-driving cars and large language models (LLM). Because many systems rely on ML components, it is important to guarantee their security and reliability.Security[#item_full_content]
Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand large-scale data and make decisions, which requires complementing the strengths of both visualization and AI. However, integrating these into data analysis processes has yet to be accomplished.Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand large-scale data and make decisions, which requires complementing the strengths of both visualization and AI. However, integrating these into data analysis processes has yet to be accomplished.[#item_full_content]
Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand large-scale data and make decisions, which requires complementing the strengths of both visualization and AI. However, integrating these into data analysis processes has yet to be accomplished.Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand large-scale data and make decisions, which requires complementing the strengths of both visualization and AI. However, integrating these into data analysis processes has yet to be accomplished.Computer Sciences[#item_full_content]
