2 years ago

Global information technology company https://www.ibm.com/cloud?utm_content=inline-mention has released an open source library, the https://github.com/GT4SD/gt4sd-core (GT4SD) with hopes of https://research.ibm.com/blog/what-is-accelerated-discovery within the field of https://thenewstack.io/category/machine-learning/. Built with the intention of not only making advanced generative models easier to use but also more efficient when applying them to discovery workflows, the GT4SD hosts generative algorithms developed at IBM Research for the design of novel materials with distinct applications and language models for scientific documents. In a https://research.ibm.com/blog/generative-models-toolkit-for-scientific-discovery?social_post=6575028361&linkId=156745614explaining the GT4SD, IBM described the project as “an open-source library to accelerate hypothesis generation in the scientific discovery process that eases the adoption of state-of-the-art generative models.” IBM Research scientist and lead creator of GT4SD https://www.linkedin.com/in/matteo-manica-drugilsberg/?originalSubdomain=ch gave his insights on the toolkit in an interview with The New Stack.

We noticed that there was this urge in the community, and in other fields, to simplify the access to these AI technologies.