Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.