CoCoGraph uses a diffusion model, a technique common in image generation, to generate realistic molecules for therapeutics and sustainability.

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Generative artificial intelligence (AI) ...

Generative Adversarial Networks (GANs) are a class of deep learning models that learn to produce new (or pseudo-real) data. Their advent in 2014 and refinement thereafter have led to them dominating ...

From precision factories to disaster recovery zones, diffusion models are transforming how robots learn to see, feel, and act. By combining generative AI with tactile sensing, vision, and language, ...

A team of Apple researchers details a creative framework that improves LLM answers in math reasoning, code generation, and ...

Finding and developing new molecules is one of the great research endeavors of modern chemistry. From the development of new ...

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...