The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

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 ...

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 ...

Google recently published research on a technique to train a model to be able to solve natural language processing problems in a way that can be applied to multiple tasks. Rather than train a model to ...

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 ...

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 ...

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

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, ...