To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.[#item_full_content]

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it is becoming ever more important that it also complies with legal, ethical, and social norms. But how can such norms be taught to a machine?Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it is becoming ever more important that it also complies with legal, ethical, and social norms. But how can such norms be taught to a machine?[#item_full_content]

Growing up, we learn to push just hard enough to move a box and to avoid touching a hot pan with our bare hands. Now, a robot hand has been developed that also has these instincts.Growing up, we learn to push just hard enough to move a box and to avoid touching a hot pan with our bare hands. Now, a robot hand has been developed that also has these instincts.[#item_full_content]

By challenging AI chatbots to judge thousands of moral dilemmas posted in a popular Reddit forum, UC Berkeley researchers revealed that each platform appears to follow its own set of ethics.By challenging AI chatbots to judge thousands of moral dilemmas posted in a popular Reddit forum, UC Berkeley researchers revealed that each platform appears to follow its own set of ethics.[#item_full_content]

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation that opens new possibilities of conventional photography for optical spectroscopy and hyperspectral imaging.Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation that opens new possibilities of conventional photography for optical spectroscopy and hyperspectral imaging.[#item_full_content]

Artists are always looking for new ways to create and express themselves. A growing trend is the use of multiple layers of see-through materials, such as Plexiglas, to create paintings that have real depth, transforming two-dimensional images into three-dimensional illusions that feel more realistic and lifelike. But can these layered works be made even more immersive?Artists are always looking for new ways to create and express themselves. A growing trend is the use of multiple layers of see-through materials, such as Plexiglas, to create paintings that have real depth, transforming two-dimensional images into three-dimensional illusions that feel more realistic and lifelike. But can these layered works be made even more immersive?[#item_full_content]

Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach could expand the practical utility of this computational imaging method by enabling clearer images of moving targets and improving the quality of surveillance images.Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach could expand the practical utility of this computational imaging method by enabling clearer images of moving targets and improving the quality of surveillance images.[#item_full_content]

At the height of the COVID-19 pandemic, players flocked to Axie Infinity, a blockchain-based video game where users received cryptocurrency tokens for their time spent playing. In 2022, when the broader crypto market crashed and a massive hack erased players’ earnings, most users fled. A new study by Cornell researchers has investigated why some players stuck around.At the height of the COVID-19 pandemic, players flocked to Axie Infinity, a blockchain-based video game where users received cryptocurrency tokens for their time spent playing. In 2022, when the broader crypto market crashed and a massive hack erased players’ earnings, most users fled. A new study by Cornell researchers has investigated why some players stuck around.[#item_full_content]

Understanding how and when drivers change lanes is key to improving highway traffic flow, safety and autonomous vehicle performance, and a new approach developed at the University of Michigan outperforms current methods using only GPS data.Understanding how and when drivers change lanes is key to improving highway traffic flow, safety and autonomous vehicle performance, and a new approach developed at the University of Michigan outperforms current methods using only GPS data.[#item_full_content]

Nuclear energy is a leading option to power space exploration, but its success depends on reactors that can operate autonomously rather than relying on human operators in space.Nuclear energy is a leading option to power space exploration, but its success depends on reactors that can operate autonomously rather than relying on human operators in space.[#item_full_content]