Empowering R&D teams with transformative technologies like agentic AI, advanced AI models, and HPC can help drive scientific outcomes with increased speed, scale, and accuracy.
Microsoft Discovery enables scientists and researchers to team up with specialized AI agents to transform the entire R & D process - from hypothesis generation HPC simulations, validation, to experimentation and implementation. Microsoft Discovery implements a continuous and iterative R&D cycle where researchers and engineers can guide and orchestrate a team of specialized AI agents that learn and adapt over time-not just for reasoning, but for conducting research itself. A powerful graph-based knowledge engine and extensibility enables teams and organizations to:
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Accelerate time to impact, with some customers seeing a six-month to one-week speedup from project kick-off to solution.
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Explore larger problem spaces, with the potential to scale from thousands of candidates to tens of millions.
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Speed up certain simulations by 500,000 times, effectively compressing nearly one year of research into minutes.
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Save time and money by accelerating R&D pipeline from design to manufacturing and bringing innovative products to market more quickly.
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Improve productivity with a Copilot to query research, visualize data, write code, and orchestrate workflows.
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Get ready for quantum computing by using the latest advancements in AI & HPC.
- Source: More information.
- Source: Internal study based on comparison between AI-based screening versus DFT physics-based screening, 2022.
- Source: Internal study based on comparison between ab initio Molecular dynamics and active learning molecular dynamics, 2022-2023.
