Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.Robotics[#item_full_content]
Airlines may not be replacing pilots with artificial intelligence anytime soon, but aviation industry experts say the new technology is already revolutionizing the way they do business.Airlines may not be replacing pilots with artificial intelligence anytime soon, but aviation industry experts say the new technology is already revolutionizing the way they do business.Business[#item_full_content]
AMD on Monday announced its new artificial intelligence chips for everything from cutting-edge data centers to advanced laptops, ramping up its challenge to the runaway market leader Nvidia.AMD on Monday announced its new artificial intelligence chips for everything from cutting-edge data centers to advanced laptops, ramping up its challenge to the runaway market leader Nvidia.Hardware[#item_full_content]
In an advancement for robotics and artificial intelligence, researchers at Chongqing University of Technology, along with their international collaborators, have developed a cutting-edge method for enhancing interaction recognition. The study, published in Cyborg and Bionic Systems, introduces the Merge-and-Split Graph Convolutional Network (MS-GCN), a novel approach specifically designed to address the complexities of skeleton-based interaction recognition.In an advancement for robotics and artificial intelligence, researchers at Chongqing University of Technology, along with their international collaborators, have developed a cutting-edge method for enhancing interaction recognition. The study, published in Cyborg and Bionic Systems, introduces the Merge-and-Split Graph Convolutional Network (MS-GCN), a novel approach specifically designed to address the complexities of skeleton-based interaction recognition.Robotics[#item_full_content]
In a study published in Cyborg Bionic Systems, researchers from Shanghai University have unveiled a new artificial intelligence framework that improves the way robots interpret and execute tasks. The “Correction and Planning with Memory Integration” (CPMI) framework leverages large language models (LLMs) to improve the efficiency and effectiveness of robots performing complex, instruction-based tasks.In a study published in Cyborg Bionic Systems, researchers from Shanghai University have unveiled a new artificial intelligence framework that improves the way robots interpret and execute tasks. The “Correction and Planning with Memory Integration” (CPMI) framework leverages large language models (LLMs) to improve the efficiency and effectiveness of robots performing complex, instruction-based tasks.Robotics[#item_full_content]
Disinformation is a growing phenomenon on digital platforms, significantly impacting social, political, and economic events. It has long posed a threat to freedom and democracy. However, it is now even more pressing due to the speed at which campaigns spread through digital media.Disinformation is a growing phenomenon on digital platforms, significantly impacting social, political, and economic events. It has long posed a threat to freedom and democracy. However, it is now even more pressing due to the speed at which campaigns spread through digital media.Computer Sciences[#item_full_content]
As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study from Chalmers University of Technology in Sweden shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study from Chalmers University of Technology in Sweden shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.Automotive[#item_full_content]
A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.Computer Sciences[#item_full_content]
Imagine watching a pizza chef going about his work in a kitchen. You see him: weigh flour before adding water and yeast to it; knead the mixture into a dough; leave it to rise while he slices pepperoni and other toppings; stretch out the dough before assembling the pizza and sliding it into an oven.Imagine watching a pizza chef going about his work in a kitchen. You see him: weigh flour before adding water and yeast to it; knead the mixture into a dough; leave it to rise while he slices pepperoni and other toppings; stretch out the dough before assembling the pizza and sliding it into an oven.Machine learning & AI[#item_full_content]
AI and its related terms are now fairly well known. Many people have heard of terms such as “neural network” and may even associate “CNN” with “Convolutional Neural Network” instead of the news organization. Those with more than a passing interest in AI might even know about AlexNet, the pioneering CNN architecture that revolutionized image recognition and deep learning in 2012.AI and its related terms are now fairly well known. Many people have heard of terms such as “neural network” and may even associate “CNN” with “Convolutional Neural Network” instead of the news organization. Those with more than a passing interest in AI might even know about AlexNet, the pioneering CNN architecture that revolutionized image recognition and deep learning in 2012.Machine learning & AI[#item_full_content]