The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

A new system could overhaul maps that misclassify hundreds of thousands of smallholder coffee and cacao farmers as working in ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

When it comes to scaling AI in the workplace, organisational structure must evolve for value to emerge. Operating models ...

The company, formerly known as Doosan, is the third largest machine tool company and made its entry onto the industrial 3D ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...