In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Foundation models have surged to the fore of modern machine learning applications for numerous reasons. Their generative capabilities—including videos, images, and text—are unrivaled. They readily ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI models have demonstrated impressive results in experiments, but deploying them in real-world applications requires combining neural networks with pre- and post-processing steps. Thus the need for ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

HOUSTON – (Jan. 31, 2022) – Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating. The process ...

How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to address as a team of researchers investigated ...

Scientists are using machine learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating. Rice University scientists are using machine-learning ...