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

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 projects that support AI development.

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Two popular approaches for customizing ...

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 ...

A Microsoft and Amazon joint effort makes neural networks easier to program and use with the MXNet and Microsoft Cognitive Toolkit frameworks Deep learning systems have long been tough to work with, ...

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 ...