A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.[#item_full_content]
A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive artificial intelligence and machine learning—thereby illuminating a process that has largely been concealed from users.Computer Sciences[#item_full_content]
The United Nations and the Red Cross this week issued a joint call for urgent new international rules to protect humanity from the potential “terrible consequences” of autonomous weapons.The United Nations and the Red Cross this week issued a joint call for urgent new international rules to protect humanity from the potential “terrible consequences” of autonomous weapons.Machine learning & AI[#item_full_content]
Utilizing soft, flexible materials such as cloth, paper, and silicone, soft robotic grippers act like a robot’s hand to perform functions such as safely grasping and releasing objects. Unlike conventional rigid material grippers, they are more flexible and safe, and are being researched for household robots that handle fragile objects such as eggs, or for logistics robots that need to carry various types of objects. However, its low load capacity makes it difficult to lift heavy objects, and its poor grasping stability makes it easy to lose the object even under mild external impact.Utilizing soft, flexible materials such as cloth, paper, and silicone, soft robotic grippers act like a robot’s hand to perform functions such as safely grasping and releasing objects. Unlike conventional rigid material grippers, they are more flexible and safe, and are being researched for household robots that handle fragile objects such as eggs, or for logistics robots that need to carry various types of objects. However, its low load capacity makes it difficult to lift heavy objects, and its poor grasping stability makes it easy to lose the object even under mild external impact.[#item_full_content]
As artificial intelligence apps such as ChatGPT have proliferated, so have chatbots with a religious bent. People facing a moral or ethical dilemma can submit their questions to these chatbots, which then provide an answer based on the religious texts fed to them or crowd-sourced data.As artificial intelligence apps such as ChatGPT have proliferated, so have chatbots with a religious bent. People facing a moral or ethical dilemma can submit their questions to these chatbots, which then provide an answer based on the religious texts fed to them or crowd-sourced data.Consumer & Gadgets[#item_full_content]
A group of researchers and engineers from the University of Sharjah have developed a deep learning system to utilize the Arabic language and its varieties in applications related to Natural Language Processing (NLP), an interdisciplinary subfield of linguistics, computer science, and artificial intelligence.A group of researchers and engineers from the University of Sharjah have developed a deep learning system to utilize the Arabic language and its varieties in applications related to Natural Language Processing (NLP), an interdisciplinary subfield of linguistics, computer science, and artificial intelligence.[#item_full_content]
A group of researchers and engineers from the University of Sharjah have developed a deep learning system to utilize the Arabic language and its varieties in applications related to Natural Language Processing (NLP), an interdisciplinary subfield of linguistics, computer science, and artificial intelligence.A group of researchers and engineers from the University of Sharjah have developed a deep learning system to utilize the Arabic language and its varieties in applications related to Natural Language Processing (NLP), an interdisciplinary subfield of linguistics, computer science, and artificial intelligence.Computer Sciences[#item_full_content]
As organizations work to reduce their energy consumption and associated carbon emissions, one area that remains to be optimized is indoor heating and cooling. In fact, HVAC—which stands for heating, ventilation, and air conditioning—represents, on average, about 40% of a building’s total energy use. Methods that conserve electricity while still providing a comfortable indoor environment for workers could make a significant difference in the fight against climate change.As organizations work to reduce their energy consumption and associated carbon emissions, one area that remains to be optimized is indoor heating and cooling. In fact, HVAC—which stands for heating, ventilation, and air conditioning—represents, on average, about 40% of a building’s total energy use. Methods that conserve electricity while still providing a comfortable indoor environment for workers could make a significant difference in the fight against climate change.Energy & Green Tech[#item_full_content]
Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.Robotics[#item_full_content]
Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.[#item_full_content]
