For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope -- for example, where to place mirrors or lenses -- is enormous. Researchers have now developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.
The rapidly increasing aging population will lead to a shortage of care providers in the future. While robotic technologies are a potential alternative, their widespread use is limited by poor acceptance. In a new study, researchers have examined a user-centric approach to understand the factors influencing user willingness among caregivers and recipients in Japan, Ireland, and Finland. Users' perspectives can aid the development of home-care robots with better acceptance.
On September 11, 2001, during the terrorist attacks in New York, the commander of one of the firefighting teams had an idea that he had to get his team out of the skyscraper they were in. He could not explain why he suddenly ordered everyone out.
Autonomous Mobile Robots (AMRs) are designed to enhance intralogistics, the complex process of managing and transporting materials within a manufacturing facility, which is critical in automotive production.
A team of mechanical engineers at Nanyang Technological University, in Singapore, has developed a way to automate the process of merging live cockroaches and electronics to create cyborg cockroaches, greatly speeding up the process. In their study, available on the arXiv preprint server, the group taught a robot arm to connect electronics to living insects.
OpenAI’s new video-generation tool, Sora, has set the tech world abuzz since its release. The AI powerhouse is known for redefining boundaries with innovations like ChatGPT and DALL-E, and Sora represents another leap—this time into video. However, one key feature is being cautiously held back: the ability to generate videos based on real people. OpenAI’s...
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Imagine an artificial intelligence (AI) model that can watch and understand moving images with the subtlety of a human brain. Now, scientists have made this a reality by creating MovieNet: an innovative AI that processes videos much like how our brains interpret real-life scenes as they unfold over time.
Europe's road network is its economic backbone. Mostly constructed after World War II, extensive maintenance is essential as it's nearing its end of life. Increasing traffic volumes and more frequent road works result in traffic jams, delayed goods transport and risks for road workers. All this puts huge pressure on governments and road authorities.
Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal details are inaccessible. Now, researchers addressed this issue through a strategy based on latent context sharing, successfully getting an image classifier to forget multiple classes it was trained on. Their findings could expand the use cases of large-scale AI models while safeguarding end users' privacy.
Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks.
Researchers have published two studies in which they surveyed readers on their thoughts about AI in journalism. When provided a sample of bylines stating AI was involved in producing news in some way or not at all, readers regularly stated they trusted the credibility of the news less if AI had a role. Even when they didn't understand exactly what AI contributed, they reported less trust and that 'humanness' was an important factor in producing reliable news.
To help humans to complete everyday manual tasks, robots should be able to reliably manipulate everyday objects that vary in shape, texture and size. Many conventional approaches to enable robotic manipulation of various objects rely on extensive training and precise programming, also delineating the properties of objects that the robots will be manipulating.
Better, faster artificial intelligence is fueling a rise in human-like robots for customer service at places like hotels and airports, especially in areas outside the U.S. But many robots still fail to connect with people, instead creeping us out with fake smiles and jittery movements.
A team led by Prof. Dong Erbao from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), collaborating with Prof. Yu Xinge from the City University of Hong Kong, developed a novel tactile perception method based on flexible grating structural color. The work was published in National Science Review.
Brain-inspired architectures are making AI models more efficient and less resource-intensive. This convergence of AI innovation and energy efficiency points to a future where AI isn’t just the domain of large corporations but a tool accessible to all.