Information sharing can lead to better, more accurate predictions when neural network mechanisms are concerned and by using shared information among groups of similarly-minded people, next-item recommendation technology can be improved over the current conventional methods.Information sharing can lead to better, more accurate predictions when neural network mechanisms are concerned and by using shared information among groups of similarly-minded people, next-item recommendation technology can be improved over the current conventional methods.Computer Sciences[#item_full_content]
Even linguistics experts are largely unable to spot the difference between writing created by artificial intelligence or humans, according to a new study co-authored by a University of South Florida assistant professor.Even linguistics experts are largely unable to spot the difference between writing created by artificial intelligence or humans, according to a new study co-authored by a University of South Florida assistant professor.Machine learning & AI[#item_full_content]
As artificial intelligence becomes mainstream, its infiltration into children’s lives is causing tremendous anxiety. The global panic around AI’s co-option of children’s play and cultures has manifested unpredictably.As artificial intelligence becomes mainstream, its infiltration into children’s lives is causing tremendous anxiety. The global panic around AI’s co-option of children’s play and cultures has manifested unpredictably.Consumer & Gadgets[#item_full_content]
The United Nations called on Thursday for strict rules on the use of AI tools such as viral chatbot ChatGPT in classrooms, including limiting their use to older children.The United Nations called on Thursday for strict rules on the use of AI tools such as viral chatbot ChatGPT in classrooms, including limiting their use to older children.Machine learning & AI[#item_full_content]
Chinese tech giant Tencent on Thursday claimed its new chatbot had some capabilities on par with top US rival ChatGPT, as the global artificial intelligence race heats up.Chinese tech giant Tencent on Thursday claimed its new chatbot had some capabilities on par with top US rival ChatGPT, as the global artificial intelligence race heats up.Internet[#item_full_content]
Precisive real-time prediction of the movement of nearby vehicles or the future trajectory of pedestrians is essential for safe autonomous driving. A research team led by City University of Hong Kong (CityU) recently developed a novel AI system that improves predictive accuracy amid dense traffic and increases computational efficiency by over 85%, offering great potential for enhancing the safety of autonomous vehicles.Precisive real-time prediction of the movement of nearby vehicles or the future trajectory of pedestrians is essential for safe autonomous driving. A research team led by City University of Hong Kong (CityU) recently developed a novel AI system that improves predictive accuracy amid dense traffic and increases computational efficiency by over 85%, offering great potential for enhancing the safety of autonomous vehicles.Automotive[#item_full_content]
When artificial intelligence robots that have been designed to use algorithms to complete source search tasks, such as search and rescue operations during a fire, encounter a disturbance, they are often unable to complete their task. Proposed solutions have ranged from trying to improve algorithms to introducing additional robots, but these AI-driven robots still encounter fatal problems.When artificial intelligence robots that have been designed to use algorithms to complete source search tasks, such as search and rescue operations during a fire, encounter a disturbance, they are often unable to complete their task. Proposed solutions have ranged from trying to improve algorithms to introducing additional robots, but these AI-driven robots still encounter fatal problems.[#item_full_content]
When artificial intelligence robots that have been designed to use algorithms to complete source search tasks, such as search and rescue operations during a fire, encounter a disturbance, they are often unable to complete their task. Proposed solutions have ranged from trying to improve algorithms to introducing additional robots, but these AI-driven robots still encounter fatal problems.When artificial intelligence robots that have been designed to use algorithms to complete source search tasks, such as search and rescue operations during a fire, encounter a disturbance, they are often unable to complete their task. Proposed solutions have ranged from trying to improve algorithms to introducing additional robots, but these AI-driven robots still encounter fatal problems.Computer Sciences[#item_full_content]
Are democratic societies ready for a future in which AI algorithmically assigns limited supplies of respirators or hospital beds during pandemics? Or one in which AI fuels an arms race between disinformation creation and detection? Or sways court decisions with amicus briefs written to mimic the rhetorical and argumentative styles of Supreme Court justices?Are democratic societies ready for a future in which AI algorithmically assigns limited supplies of respirators or hospital beds during pandemics? Or one in which AI fuels an arms race between disinformation creation and detection? Or sways court decisions with amicus briefs written to mimic the rhetorical and argumentative styles of Supreme Court justices?Consumer & Gadgets[#item_full_content]
Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing active learning (AL) approaches, which aim to reduce the annotation cost in traditional learning, may lead to the degradation of their performance.Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing active learning (AL) approaches, which aim to reduce the annotation cost in traditional learning, may lead to the degradation of their performance.[#item_full_content]
