Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific actions. A research team led by Jae-Pil Heo, Professor in the Department of Software at Sungkyunkwan University, has developed an AI technology that can accurately recognize new actions from only a small number of example videos. The research team focused on few-shot action recognition, which enables AI to learn and distinguish the characteristics of new actions from only a few examples.Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific actions. A research team led by Jae-Pil Heo, Professor in the Department of Software at Sungkyunkwan University, has developed an AI technology that can accurately recognize new actions from only a small number of example videos. The research team focused on few-shot action recognition, which enables AI to learn and distinguish the characteristics of new actions from only a few examples.Software[#item_full_content]

OpenAI’s GPT models can often be fooled into declaring that “pseudo-literary” nonsense is great, a German researcher has found.OpenAI’s GPT models can often be fooled into declaring that “pseudo-literary” nonsense is great, a German researcher has found.Machine learning & AI[#item_full_content]

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.Robotics[#item_full_content]

Research in the International Journal of Computational Intelligence Studies has examined how we might improve artificial intelligence (AI) systems for interpreting human emotion in written communication. A new system is capable of identifying sentiment not only in broad terms, positive, negative, and neutral, but also at a more detailed, aspect-specific level.Research in the International Journal of Computational Intelligence Studies has examined how we might improve artificial intelligence (AI) systems for interpreting human emotion in written communication. A new system is capable of identifying sentiment not only in broad terms, positive, negative, and neutral, but also at a more detailed, aspect-specific level.Machine learning & AI[#item_full_content]

To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.Consumer & Gadgets[#item_full_content]

Amid the rapid expansion of artificial intelligence and the debate on how it should be regulated, research by the Universitat Oberta de Catalunya (UOC) examines a key question: who sets the rules and through what infrastructure. The article, published in the journal AI & SOCIETY, is authored by UOC doctoral researcher Andreu Belsunces Gonçalves, from the CNSC research group, and Laura Forlano, from Northeastern University in Boston (United States). The study analyzes how certain technological initiatives not only provide services but also promote governance models based on private digital identity and biometric data systems.Amid the rapid expansion of artificial intelligence and the debate on how it should be regulated, research by the Universitat Oberta de Catalunya (UOC) examines a key question: who sets the rules and through what infrastructure. The article, published in the journal AI & SOCIETY, is authored by UOC doctoral researcher Andreu Belsunces Gonçalves, from the CNSC research group, and Laura Forlano, from Northeastern University in Boston (United States). The study analyzes how certain technological initiatives not only provide services but also promote governance models based on private digital identity and biometric data systems.Business[#item_full_content]

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain’s structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain’s structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.Hardware[#item_full_content]