Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...

Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Further, if they made use of a tool such as H2O.ai’s Driverless AI, which automates a significant portion of the machine learning process, they could make these teams dramatically more efficient.

It offers features like automatic data preprocessing, model training, and deployment, making it ideal for applications that require fast and accurate machine learning. MLDB is used by companies ...