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 ...

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved July 23, ... 2022 — Researchers developed a system that streamlines the process of federated learning, ...

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

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

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, ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

Machine learning algorithm brings long-read sequencing to the clinic. ScienceDaily . Retrieved July 23, 2025 from www.sciencedaily.com / releases / 2025 / 05 / 250529124849.htm ...