Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile robots in a shared space—and helping them work with each other and with human partners—is an extremely complicated task.Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile robots in a shared space—and helping them work with each other and with human partners—is an extremely complicated task.[#item_full_content]

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.[#item_full_content]

Everyone hates traffic. Big cities in particular are plagued by an overabundance of vehicles, turning a simple crosstown jaunt into an odyssey during rush hour. Part of the problem is that traffic is incredibly complex, and a small change in one part of the system can have ripple effects that alter traffic patterns throughout a city. City planners attempting to improve local traffic grids can often struggle to foresee all the effects their changes could have.Everyone hates traffic. Big cities in particular are plagued by an overabundance of vehicles, turning a simple crosstown jaunt into an odyssey during rush hour. Part of the problem is that traffic is incredibly complex, and a small change in one part of the system can have ripple effects that alter traffic patterns throughout a city. City planners attempting to improve local traffic grids can often struggle to foresee all the effects their changes could have.[#item_full_content]

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]