Researchers find countermeasures for designers of security systems and other smart home devices. «IoT devices are becoming increasingly common, and there’s an expectation that they can contribute to our safety and security,» says William Enck, co-author of a paper on the discovery and an associate professor of computer science at NC State. «But we’ve found…

Addenbrooke’s Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used artificial intelligence (AI) to predict COVID patients’ oxygen needs on a global scale. The research was sparked by the pandemic and set out to build an AI tool to predict how much extra oxygen a…

A small device, called ‘Smart Stirrer’, performed a function of a conventional laboratory stir bar, has an integrated microprocessor and various sensors capable of wireless and autonomous report the conversion of properties of a solution. Results are sent to a computer over Bluetooth, and any changes notify the user wirelessly. In the paper, ‘Monitoring chemistry…

For smokers who are better at math, the decision to quit just adds up, a new study suggests. Researchers found that smokers who scored higher on a test of math ability were more likely than others to say they intended to quit smoking. Researchers found that smokers who scored higher on a test of math…

Researchers have found a simple, yet highly versatile, way to generate ‘chaotic signals’ with various features. The technique consists of interconnecting three ‘ring oscillators,’ effectively making them compete against each other, while controlling their respective strengths and their linkages. The resulting device is rather small and efficient, thus suitable for emerging applications such as realizing…

A new algorithm designed with deep learning techniques will enable the detection and quantification of floating plastics in the sea with a reliability over 80 percent, according to a new study. MARLIT, an open access web app based on an algorithm designed with deep learning techniques, will enable the detection and quantification of floating plastics…

A form of artificial intelligence designed to interpret a combination of retinal images was able to successfully identify a group of patients who were known to have Alzheimer’s disease, suggesting the approach could one day be used as a predictive tool, according to an interdisciplinary study. The novel computer software looks at retinal structure and…

The images and accompanying data available for training artificial intelligence (AI) to spot skin cancer are insufficient and include very few images of darker skin, according to new research. AI is increasingly being used in medicine as it can make diagnosis of diseases like skin cancer quicker and more effective. However, AI needs to be…

Researchers are working with community leaders to develop a mobile alert app to help locate missing people with dementia. Noelannah Neubauer, a postdoctoral fellow at the University of Waterloo’s School of Public Health Sciences, said «Community ASAP» is aimed at addressing a gap in available tools when it comes to alerts for missing older adults…

Researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress. The researchers said the emerging technique holds promise to create more robust machine learning models that extend beyond a single health system without compromising patient privacy. These models, in turn, can…