From Words to Molecules: Multimodal Future of Chemistry Is Here

Описание: 🚀 Multimodal AI is changing the future of molecular design.
By combining data from graphs, text, and molecular images, new AI models can understand complex relationships between molecular structure, function, and properties—unlocking breakthroughs that were impossible with traditional single-modal approaches like SMILES.

🔍 In this video, we explore:

How multimodal AI enables smarter predictions and more flexible molecule generation
Why string-based models limit creativity in chemistry-focused AI
Cutting-edge innovations like SAFE, MMF, and ViT-based frameworks
Real applications in drug discovery, materials science, and sensor development

💡 These powerful new models show massive potential to accelerate scientific research, improve interpretability, and design novel molecules with precision and control.

🌐 We’ll break down the latest breakthroughs, the challenges ahead, and where molecular AI is going next.
‪@SciencephiletheAI‬ ‪@Rasayanika‬ ‪@QuantaScienceChannel‬ ‪@NileRed‬ ‪@ScienyX‬ ‪@TheOrganicChemistryTutor‬ ‪@ChemistryEasy‬

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