Chemists have presented a new approach in which a single carbon atom is inserted into the carbon skeleton of cyclic compounds in order to adjust the ring size. The method could be relevant, for example, for the production of active ingredients in new pharmaceutical products. Chemists have presented a new approach in which a single …
Chemists develop new approach to inserting single carbon atoms Read More »
A study has found that green ammonia could be used to fulfill the fuel demands of over 60% of global shipping by targeting just the top 10 regional fuel ports. Researchers looked at the production costs of ammonia which are similar to very low sulphur fuels, and concluded that the fuel could be a viable …
A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the ‘reality gap’: the difference between predicted and observed behavior from quantum devices. A study has used the power of machine learning to overcome a key challenge …
New study uses machine learning to bridge the reality gap in quantum devices Read More »
Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects. Now, researchers have developed DPPFA Net, an innovative network that overcomes challenges related to occlusion and noise introduced by adverse …
Towards more accurate 3D object detection for robots and self-driving cars Read More »
Shuttlecocks, also known as birdies or birds, are traditionally made from duck feathers, but nylon shuttlecocks have become more widely used because of their superior durability. Their flight behavior, however, is far different from that of traditional feather birdies. Scientists have now explored the aerodynamic performance of nylon shuttlecocks at various flight speeds. Through computational …
Scientists were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in people with schizophrenia. However, the models are highly context-dependent and cannot be generalized. Scientists were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in …
An international team of scientists provide an overview of the latest research on light-matter interactions. In a new paper, they provide an overview of the latest research on polaritons, tiny particles that arise when light and material interact in a special way. An international team of scientists provide an overview of the latest research on …
Light-matter interaction: Broken symmetry drives polaritons Read More »
Researchers have developed a nondestructive method utilizing light to estimate the total amount of polyphenols and flavonoids in spice extracts, along with their antioxidant and reducing capacities. By comprehensively capturing the autofluorescence emitted by components, such as polyphenols and flavonoids, they have demonstrated the precise evaluation of chemical constituents using the application of machine learning …
Light measurement enables estimation of the chemical attributes of spice extracts Read More »
Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy. Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy. Researchers have developed a groundbreaking artificial intelligence (AI) system that …
New AI tool accurately detects COVID-19 from chest X-rays Read More »
Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers have developed a new AI-powered algorithm to help understand …