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.Computer Sciences[#item_full_content]
Recently published research assessed human trust when collaborating with eyed and non-eyed robots of the same type. The data suggest that humans might not need human-like machines to trust and work with them. Instead, they even seem to collaborate better with machine-like, eyeless machines.Recently published research assessed human trust when collaborating with eyed and non-eyed robots of the same type. The data suggest that humans might not need human-like machines to trust and work with them. Instead, they even seem to collaborate better with machine-like, eyeless machines.[#item_full_content]
The current crop of AI robots has made giant leaps when it comes to tiny activities.The current crop of AI robots has made giant leaps when it comes to tiny activities.[#item_full_content]
A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.[#item_full_content]
A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.Computer Sciences[#item_full_content]
A research team consisting of scientists from St Petersburg University, St Petersburg Federal Research Center of the Russian Academy of Sciences and some other organizations have created a database of eye movement strategies of operators monitoring objects on a PC screen in various states (tired/alert).A research team consisting of scientists from St Petersburg University, St Petersburg Federal Research Center of the Russian Academy of Sciences and some other organizations have created a database of eye movement strategies of operators monitoring objects on a PC screen in various states (tired/alert).Machine learning & AI[#item_full_content]
Digital Volume Correlation (DVC) is a powerful image analysis technique used in the field of materials science and engineering to study the mechanical behavior and deformation of complex 3D structures. By comparing voxel intensities in a pair of 3D digital images captured at different states of loading or deformation, DVC allows researchers to track and quantify displacements, strains, and other mechanical properties with high precision and non-invasively.Digital Volume Correlation (DVC) is a powerful image analysis technique used in the field of materials science and engineering to study the mechanical behavior and deformation of complex 3D structures. By comparing voxel intensities in a pair of 3D digital images captured at different states of loading or deformation, DVC allows researchers to track and quantify displacements, strains, and other mechanical properties with high precision and non-invasively.[#item_full_content]
Today marks an important milestone in the history of the internet: Google’s 25th birthday. With billions of search queries submitted each day, it’s difficult to remember how we ever lived without the search engine.Today marks an important milestone in the history of the internet: Google’s 25th birthday. With billions of search queries submitted each day, it’s difficult to remember how we ever lived without the search engine.Internet[#item_full_content]
Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:[#item_full_content]
Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:Computer Sciences[#item_full_content]
