Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Dr. Helen Chen Professor, School of Public Health Sciences Faculty of Health Bing Ho PhD Candidate, Cheriton School of ...
Billions of dollars are trading hands on sites like Polymarket and Kalshi, where people bet on everything from Taylor Swift’s ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...
Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...
The new technique is called CLASSIC, an acronym for “combining long and short range sequencing to investigate genetic ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...