A robot meant to inspect a coastline, a flooded street or a wetland can’t count on one kind of ground. It might need to crawl over a hard surface, climb a bank, scale a curb or a step, then slide into open water, often within the same few feet.A robot meant to inspect a coastline, a flooded street or a wetland can’t count on one kind of ground. It might need to crawl over a hard surface, climb a bank, scale a curb or a step, then slide into open water, often within the same few feet.[#item_full_content]
Artificial intelligence has gradually made its way into many areas of life with abilities that often match or surpass those of humans. But a study published in the journal iScience finds that AI-powered machines have trouble recognizing objects from their overall shapes when aspects of an image are distorted. The findings offer a new way to evaluate and compare computer vision with that of people.Artificial intelligence has gradually made its way into many areas of life with abilities that often match or surpass those of humans. But a study published in the journal iScience finds that AI-powered machines have trouble recognizing objects from their overall shapes when aspects of an image are distorted. The findings offer a new way to evaluate and compare computer vision with that of people.Machine learning & AI[#item_full_content]
When Google founders Sergey Brin and Larry Page were still university researchers, they warned that advertising could undermine the trustworthiness of search engines.When Google founders Sergey Brin and Larry Page were still university researchers, they warned that advertising could undermine the trustworthiness of search engines.Machine learning & AI[#item_full_content]
A digitally fabricated guide developed by researchers at Science Tokyo captures and reproduces the spatial relationship between a musician’s lips and an air-reed instrument, such as a shakuhachi flute. By combining facial and intraoral scans using CAD and 3D printing, the team created a lightweight positioning guide based on an experienced player’s embouchure.A digitally fabricated guide developed by researchers at Science Tokyo captures and reproduces the spatial relationship between a musician’s lips and an air-reed instrument, such as a shakuhachi flute. By combining facial and intraoral scans using CAD and 3D printing, the team created a lightweight positioning guide based on an experienced player’s embouchure.[#item_full_content]
Advertisers must disclose the use of AI-generated performers to consumers in California under a new law signed Wednesday by the state’s governor.Advertisers must disclose the use of AI-generated performers to consumers in California under a new law signed Wednesday by the state’s governor.Machine learning & AI[#item_full_content]
As concern rises over the risks of artificial intelligence, hopes for any kind of global approach depend on cooperation between the U.S. and China—superpowers that seem only to be more skeptical of each other’s AI strategy.As concern rises over the risks of artificial intelligence, hopes for any kind of global approach depend on cooperation between the U.S. and China—superpowers that seem only to be more skeptical of each other’s AI strategy.Machine learning & AI[#item_full_content]
Artificial Intelligence (AI) is rapidly advancing—and with it, the promise of solving some of academia’s toughest problems. But while many researchers focus on using AI to find answers, Associate Professor Hiroshi Kera of the Institute for Advanced Academic Research/Graduate School of Informatics is asking a different question: How can we design better problems for AI to solve?Artificial Intelligence (AI) is rapidly advancing—and with it, the promise of solving some of academia’s toughest problems. But while many researchers focus on using AI to find answers, Associate Professor Hiroshi Kera of the Institute for Advanced Academic Research/Graduate School of Informatics is asking a different question: How can we design better problems for AI to solve?Machine learning & AI[#item_full_content]
A research team led by Professor Daehee Park of the Department of Electrical Engineering and Computer Science at DGIST, in collaboration with a research team from KAIST, has developed a learning technique that enables a single compact AI model to simultaneously predict the movements of nearby people and plan safe navigation paths for robots while reducing performance degradation in both tasks. The research was presented at the 19th European Conference on Computer Vision (ECCV 2026) held in Malmö, Sweden, Sept. 8–12. The paper is available on the arXiv preprint server.A research team led by Professor Daehee Park of the Department of Electrical Engineering and Computer Science at DGIST, in collaboration with a research team from KAIST, has developed a learning technique that enables a single compact AI model to simultaneously predict the movements of nearby people and plan safe navigation paths for robots while reducing performance degradation in both tasks. The research was presented at the 19th European Conference on Computer Vision (ECCV 2026) held in Malmö, Sweden, Sept. 8–12. The paper is available on the arXiv preprint server.Robotics[#item_full_content]
Researchers at Durham University have developed a new drone navigation system that enables autonomous aircraft to fly faster, more smoothly and more safely through crowded and obstacle-filled environments. This leads to new possibilities for applications such as search and rescue, infrastructure inspection and environmental monitoring.Researchers at Durham University have developed a new drone navigation system that enables autonomous aircraft to fly faster, more smoothly and more safely through crowded and obstacle-filled environments. This leads to new possibilities for applications such as search and rescue, infrastructure inspection and environmental monitoring.[#item_full_content]
A new approach could help make future AI chips smaller and more energy-efficient. A KAIST-led research team has used a single material to address one of the major obstacles facing atomically thin semiconductors: the difficulty of efficiently injecting charge. The technology could contribute to next-generation AI and low-power semiconductor devices in which multiple ultrathin layers are vertically integrated to increase device density and performance.A new approach could help make future AI chips smaller and more energy-efficient. A KAIST-led research team has used a single material to address one of the major obstacles facing atomically thin semiconductors: the difficulty of efficiently injecting charge. The technology could contribute to next-generation AI and low-power semiconductor devices in which multiple ultrathin layers are vertically integrated to increase device density and performance.Electronics & Semiconductors[#item_full_content]
