Quantum computers take a step into real materials science
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Peter Hess
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60 results for Foundation Models
IBM’s newest time-series models cover a full range of enterprise prediction tasks
Technical notePankaj Dayama, Vijay Ekambaram, Wesley Gifford, Lars Graf, Thomas Ortner, Angeliki Pantazi, Chandra Reddy, and Roman VaculinAI-powered satellites will upend how we observe our changing planet
ReleaseMike Murphy- Topic
A more fluid way to model time-series data
ResearchKim MartineauFrom simulated steps to real-world care: AI learns how we walk for neurology
ResearchPeter HessRevolutionizing industries with AI-powered digital twins
Case studyPeter HessSimplifying geospatial AI with TerraTorch 1.0
Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal MuszynskiMeet IBM’s new family of AI models for materials discovery
NewsKim MartineauPhotos: How IBM and NASA's new geospatial model is changing our view of the world
NewsKim MartineauAn IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era
NewsPeter HessIBM Granite has new experimental features for developers to test
NewsKim MartineauFrom surf to satellites: Campbell Watson is bringing AI to Earth science
Deep DivePeter HessServing customized AI models at scale with LoRA
ResearchKim MartineauAn air traffic controller for LLMs
ExplainerKim MartineauIntroducing Prithvi WxC, a new general-purpose AI model for weather and climate
NewsKim Martineau
