IBM and NASA have collaborated to develop a set of Great language models known as LLM INDUS which aim to enhance scientific research. These models provide researchers with improved access to vast amounts of specialized knowledge and assist in extracting relevant information from various data sources. The suite includes models of sentence encoders and transformers … Read more
POT collaborates with IBM to create INDUS, a suite of large language models (LLMs) focused on scientific research across various fields. The partnership is formalized under Space Act Agreements and led by NASA and IBM’s Interagency Implementation and Advanced Concepts Team (IMPACT). The INDUS suite includes specialized LLMs for Earth sciences, biological and physical sciences, … Read more
The IMPACT-IBM team successfully improved the performance of their language models by incorporating domain-specific vocabulary into their INDUS model. This resulted in better results compared to more general language models on various benchmarks for biomedical tasks, scientific question-answering, and Earth science entity recognition tests. INDUS is designed to handle a variety of linguistic tasks and … Read more
INDUS, a set of large language models designed for five scientific domains, was developed through a collaboration between NASA and IBM. These models, which include encoders and sentence transformers, were trained using scientific corpora from various data sources. INDUS outperforms non-domain-specific models on various benchmarks and tasks. NASA is incorporating INDUS into its operations to … Read more
In Peru, scientists are using Google Street View to help track stray dogs in their research. The technology allows researchers to virtually explore different areas and identify locations where stray dogs are prevalent. This information is crucial for understanding the behavior and population of these animals in urban environments. By utilizing Google Street View, scientists … Read more