Nvidia Corp NVDA tapped Ellen Ochoa, the first Latina astronaut and former NASA’s Johnson Space Center director, to its board of directors. The addition highlights the chip designer’s commitment to bringing diverse leadership experience to… Article Source https://www.benzinga.com/24/11/41851308/nvidia-adds-former-nasa-leader-to-board-boosting-strategic-expertise
A new open-source artificial intelligence model developed by IBM, NASA, and the Department of Energy’s Oak Ridge National Laboratory could address weather and climate prediction challenges for scientists, developers and… Article Source https://fedscoop.com/ibm-nasa-oak-ridge-open-source-ai-model-weather-climate/
New AI foundation model offers insights beyond forecasting for scientists, developers, and businesses to better understand and analyze weather and climate data Sep 23, 2024 YORKTOWN HEIGHTS, N.Y., Sept. 23, 2024 / Article Source https://newsroom.ibm.com/2024-09-23-ibm-and-nasa-release-open-source-ai-model-on-hugging-face-for-weather-and-climate-applications
The NASA and IBM collaboration has introduced INDUS, a suite of Large Language Models specifically designed for various scientific fields like Earth sciences, biology, physics, and more. These models address the limitations of existing models like SCIBERT, BIOBERT, and SCHOLARBERT, covering a wide range of multidisciplinary domains. The suite includes an encoder model for natural … Read more
IBM and NASA have collaborated to create a set of efficient language models trained on scientific literature. These transformer-based models, including BERT, Roberta, Slate, and Granite, are useful for tasks such as classification, entity extraction, question answering, and information retrieval. By training on a corpus of data from various scientific domains, these models outperform generic … Read more
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
NASA and IBM have partnered to develop a new artificial intelligence model aimed at improving weather and climate applications. The Privthi-weather-climate foundational model leverages AI technology to enhance resolution in regional and local weather and climate models. By training the model on large unlabeled datasets, such as NASA’s MERRA-2 data, and utilizing AI learning processes, … Read more