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.

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

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 ...

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 ...

What if you could create your own custom AI model without needing a PhD in machine learning or access to a high-powered supercomputer? It might sound ambitious, but thanks to modern tools and ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

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, ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...