#machinelearning / Page 7

Fine-tune Gemma 4 with QLoRA on the Bitext dataset to build a memory-efficient customer support model using LoRA adapters and TRL.

This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphasizes separating relevance from governance to ensure recommendations are context-aware, auditable, and ...

The US Federal Register was caught with a Chinese AI model, Qwen, embedded in its document search function.

Some time ago, I gave a machine learning model five columns from a public CDC dataset and asked it to predict a sixth column from the same file. The model scored an R² of 0.998, which is about as clos ...

In the era of big data and artificial intelligence, data science and machine learning have become essential in many fields of science and technology. A necessary aspect of working with data is the ability to describe, summarize, and represent data ...

Shopify CEO Tobias Lütke is getting a first-hand look at the AI-workplace revolution, and it isn't a pretty sight.

A radiologist can mark a tumor on a CT scan by drawing a straight line across it. Creating a complete 3D segmentation requires outlining the tumor across the slices where it appears, which is more tim ...

USA Rare Earth is partnering with Pasqal and Riven Systems to use quantum machine learning to advance rare earth separation technology.

Scaleout deploys decentralized AI-driven learning to military bases and drones.

Pew's 37-country survey finds more people expect AI to reduce jobs than add them, a view more common in high-income countries than middle-income ones.