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

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

As organizations plan for 2026, a clear structural shift is emerging in how technical talent is valued and deployed. Amid this shift, Interview Kickstart has introduced an advanced machine learning ...

In my previous blog, I reached out to this community of engineers to gauge the experiences and expectations you have regarding artificial intelligence (AI) at work. The feedback was interesting and ...

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...