Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it thousands of images of horses. This is what makes the technology computationally ...

It has been shown that code optimisation can lead up to 46 per cent improvement in execution time, 44.9 per cent improvement in memory consumption, and 49.7 per cent improvement in CPU usage, leading ...

As shown in the MLPerf Training 2.1 performance chart, H100 provided up to 6.7 x more performance for the BERT benchmark compared to how the A100 performed on its first MLPerf submission in 2019.

Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for ...

The free app aims to make machine learning easier for people to use and helps them train models without writing code. Skip to ... play with the model and offer feedback to boost performance. Today, ...

It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI ...

“Successful machine learning is only as good as the data available, which is why it needs new, updated data to provide the most accurate outputs or predictions for any given need,” said ...

The AI Face Depixelizer tool uses machine learning to generate high-resolution faces from low-resolution inputs. But many say the algorithm is biased, defaulting toward white faces, as illustrated ...