Accidents involving HGVs are also more common on expressways than on small streets and roads. To address this issue, Heriot-Watt University Malaysia conducted a year-long project in collaboration with Malaysian Technical Standards Forum Bhd on how to reduce road accidents…
Researchers and provider organizations have increasingly embraced artificial intelligence (AI) and machine learning (ML) tools to reduce and track the spread of COVID-19 and to improve their surveillance efforts. While organizations should focus on immediate data-supported tactics, such as improving…
One of the ways brands are turning profit during the pandemic is by leveraging artificial intelligence (AI) and the associated analytics to create a restaurant that better serves its customers. For example, let’s say there are no cars in a…
Within data management, AI uses a variety of engines with programmed experience to analyze activities in many forms and generate actionable intelligence. AI that integrates with backup and recovery systems can provide a significant edge in planning and decision-making activities.…
“One of the most powerful piece is that students will ask it questions they would never ask another human being, because it’s a bot,” Elizabeth Adams, associate vice president for undergraduate studies at California State University, Northridge. “They’re grateful to…
“Currently, tank crews use a very manual process to detect, identify and engage targets,” explained Abrams Master Gunner Sgt. 1st Class Dustin Harris. ATLAS uses advanced sensors, machine learning algorithms and a new touchscreen display to automate the process of…
Security cameras have become valuable tools to identify threats of violence. There’s a new development that adds AI that can detect guns in security video. The new dimension of AI has the potential to prevent a mass casualty event. “We…
A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques,…
New research from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) suggests that AI itself might be able to accurately adjudicate whether a task is best suited to a human or to technology. The researchers have developed a machine learning…
Functional magnetic resonance imaging (fMRI) is a noninvasive diagnostic technique for brain disorders, such as Alzheimer’s disease (AD). fMRI has not been widely used in clinical diagnosis. Their limited use is due to the fact fMRI data are highly susceptible…