Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to ...

As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by generating accurate labels from imbalanced datasets, Interview Kickstart announces ...

Researchers recently published a study in Additive Manufacturing focused on the use of machine learning frameworks for ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Traditional time-series forecasting models are ill-equipped to handle the dynamic and event- driven nature of Q-commerce demand. Instead, predictive analytics leveraging external factors—weather ...

In recent years, machine learning (ML) has significantly reshaped the retail and e-commerce sectors. Author Nilesh Singh's ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...