Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

Wearables are best at noticing breaks from your body's usual patterns. Those outliers can hint that something warrants ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...

Abstract: Fire detection technology based on video images can avoid many flaws in conventional methods and detect fires. To achieve this, the support vector machine (SVM) method in machine learning ...

The rapid adoption of artificial intelligence (AI) in financial trading is transforming how investment strategies are developed and executed. Quantitative trading firms now rely heavily on machine ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. Wildlife poaching is a serious issue in many parts of the world. One way of monitoring ...

Forbes contributors publish independent expert analyses and insights. Faculty member at Columbia University. Founder and CEO of OORT. Graph on a trader's computer screen, representing the concept of ...

Crimp force monitoring (CFM) has long been the standard for fault detection in wire assemblies. The technique can reliably detect many defects, including wrong strip length, missing strands, wrong ...

A recent joint study between the Department of Forensic Science of the College of Criminal Justice at Sam Houston State University (Huntsville, Texas) and the Department of Criminal Justice of the ...